A talk given to the UBC Computer Science Alumni group discussing a number of implications of the use of open source as part of the global software supply chain.
The (Un) Expected Impact of Tools in Software EvolutionGail Murphy
The document discusses how software architecture and tool architecture impact a continual flow of value in software development. It argues that software architecture needs to evolve gracefully over time to enable value delivery, and that tools should support human and tool interactions to facilitate appropriate architectural decisions. However, tool architecture is often ignored despite likely interactions with software architecture. More research is needed to understand these relationships and how tool architecture can support software architecture evolution.
Software that requires maintenance and evolution presumably has value that causes the producers of the software—individuals and organizations—to invest in these activities. Given that there is almost always more that any given software package or product can provide, software producers should be motivated in enabling maintenance and evolution activities and should be interested in the software engineering research efforts that are undertaken to address identified pain points. Yet, despite efforts by providers of research results (software engineering researchers) and interest by recipients (software producing individuals and organizations), a gap remains and too few research results make their way into use. In this keynote talk from ICSME 2021, I focus on research results that take the form of software tools for software producers and explore what this gap is and how the gap might be bridged. This exploration aims to provide some practical tips for how to orient research to create usable and useful software tools.
In this talk, I explore what productivity means to software developers, how we might track the value that is delivered in software produced by developers and how we might begin to think about measuring the productive delivery of effective software.
Keynote at International Conference on Performance Engineering (ICPE) 2020.
Beyond DevOps: Finding Value through RequirementsGail Murphy
DevOps practices have enabled faster delivery of software features. However, there remains a gap in consistently tracking how features connect to customer and organizational value. Requirements engineering needs to play a key role in identifying and linking features to value, as well as tracking value delivery and reassessing features over time. This will allow organizations to focus on delivering value rather than just features through their software development processes.
A Study of the Quality-Impacting Practices of Modern Code Review at Sony MobileSAIL_QU
Sony Mobile uses code review tools like Gerrit to facilitate code reviews of commits. The study found that components with a higher ratio of third-party code and those where developers frequently self-approved or self-verified their own code without peer review were more defect-prone. Additionally, components with high rates of code patches after initial approval tended to be less defect-prone. Qualitative interviews with developers validated these findings and indicated that external code takes more time and effort to understand, third-party bias may impact self-reviews, and in-person communication improves code quality over tools alone. Sony Mobile is now discouraging self-verification, encouraging passive reviewers to participate more, and focusing QA testing on external code coverage.
- The document introduces a framework for open engineering, which applies open source principles to product design. It describes an open design environment and reviews Georgia Tech's basic product design process as it pertains to complex mechanical or aerospace systems.
- It outlines the key stages of the design process: establishing need, defining the problem, establishing value, generating alternatives, and evaluating alternatives. Tools like quality function deployment, morphological matrices, and Pugh matrices are discussed for evaluating concepts.
- Finally, it proposes an open engineering portal that would enable the open community to interface with the formal design process through shared design documents and integration of changes across the different stages.
In 2003 Dave et al. have coined the term “opinion mining” to refer to “processing a set of search results for a given item, generating a list of product attributes (quality, features, etc.) and aggregating opinions about each of them (poor, mixed, good)”. Nine years later, in 2012 Brooks and Swigger have applied sentiment analysis in the context of software engineering. Today another nine years have passed and it is time to look back: what have we achieved as a research community and where should we go next?
To answer this question we conducted a systematic literature review involving 185 papers. Based on the literature review we present 1) well-defined categories of opinion mining-related software development activities, 2) available opinion mining approaches, whether they are evaluated when adopted in other studies, and how their performance is compared, 3) available datasets for performance evaluation and tool customization, and 4) concerns or limitations SE researchers might need to take into account when applying/customizing these opinion mining techniques. The results of our study serve as references to choose suitable opinion mining tools for SE tasks, and provide critical insights for the further development of opinion mining techniques in the SE domain.
This work has been done together with Bin Lin, Gabriele Bavota and Michele Lanza from Università della Svizzera italiana, Switzerland, Nathan Cassee from Eindhoven University of Technology, The Netherlands and Nicole Novielli from University of Bari, Italy.
Defect Prediction: Accomplishments and Future ChallengesYasutaka Kamei
The document discusses the accomplishments and future challenges of defect prediction in software engineering. It provides an overview of defect prediction, including leveraging data from repositories to measure source code metrics and build prediction models. Major accomplishments include increased data availability and openness, the ability to extract various metric types, and improved modeling performance. However, challenges remain such as keeping up with fast development paces and making models more accessible. The document argues that future areas of focus include defect prediction for mobile apps and integrating just-in-time models into continuous integration processes.
The document discusses techniques for analyzing unstructured text data from software repositories. It describes using textual analysis on code identifiers, comments, commit messages, issue trackers, emails, and forums to perform tasks like traceability link recovery, feature location, clone detection, and bug prediction. Different techniques are discussed, including pattern matching, island parsers, information retrieval methods, and natural language parsing. Choosing the right technique depends on the type of unstructured data and needs of the analysis.
Early Detection of Collaboration Conflicts & Risks in Software DevelopmentRoopesh Jhurani
Early Detection of Collaboration Conflicts & Risks analyzes software development conflicts by studying 9 open source projects totaling 3.4 million lines of code. The study found that textual conflicts occurred in 16% of merges and higher order conflicts in 33% of reported clean merges. Conflicts on average persisted for 3.2 days. The speculative analysis tool Crystal predicts potential conflicts to help developers merge changes safely and avoid conflicts persisting. Crystal examines commits between local and remote repositories to inform developers when merging is safe or risks conflicts.
Exploring the Use of Labels to Categorize Issues in Open-Source Software Pro...Javier Canovas
Slides from our paper titled "Exploring the Use of Labels to Categorize Issues in Open-Source Software Projects" at SANER 2015 conference
You can find the paper here:
https://www.researchgate.net/publication/272794664_Exploring_the_Use_of_Labels_to_Categorize_Issues_in_Open-Source_Software_Projects
SETTA'18 Keynote: Intelligent Software Engineering: Synergy between AI and So...Tao Xie
2018 Keynote Speaker, Symposium on Dependable Software Engineering - Theories, Tools and Applications (SETTA 2018). "Intelligent Software Engineering: Synergy between AI and Software Engineering" http://confesta2018.csp.escience.cn/dct/page/65581
The recent and fast expansion of OSS (Open-source software) communities has fostered research on how open source projects evolve and how their communities interact. Several research studies show that the inflow of new developers plays an important role in the longevity and the success of OSS projects. Beside that they also discovered that an high percentage of newcomers tend to leave the project because of the socio-technical barriers they meet when they join the project. However, such research effort did not generate yet concrete results in support retention and training of project newcomers. In this thesis dissertation we investigated problems arising when newcomers join software projects, and possible solutions to support them. Specifically, we studied (i) how newcomers behave during development activities and how they interact with others developers with the aim at (ii) developing tools and/or techniques for supporting them during the integration in the development team. Thus, among the various recommenders, we defined (i) a tool able to suggest appropriate mentors to newcomers during the training stage; then, with the aim at supporting newcomers during program comprehension we defined other two recommenders: a tool that (ii) generates high quality source code summaries and another tool able to (iii) provide descriptions of specific source code elements. For future work, we plan to improve the proposed recommenders and to integrate other kind of recommenders to better support newcomers in OSS projects.
Test-Driven Development in the Corporate WorkplaceAhmed Owian
What is TDD, and why is it giving traditional software development practices a run for their money? This presentation answers these questions, while focusing on a popular agile methodology, Extreme Programming (XP). It places a particular emphasis on the exploratory programming nature of XP and its testing practice, TDD. The paper also summarizes prior research on TDD and includes the results from a research survey conducted to compare TDD with traditional testing practices.
This document presents MOFAE, a multi-objective optimization approach to framework API evolution. MOFAE models API evolution as a multi-objective optimization problem. It uses four features - call dependency similarity, method signature text similarity, inheritance tree similarity, and method comment similarity - to recommend adaptation rules. MOFAE selects candidate recommendations that are not dominated in all features and sorts them by how many features they are best in. Evaluation shows MOFAE detects 18% more correct rules than previous works and saves 31% effort.
Wait for it: identifying “On-Hold” self-admitted technical debtRungrojMaipradit1
This document presents the results of a study analyzing how developers remove self-admitted technical debt (SATD) from five open source projects. The study found that 20-50% of SATD removals were accidental due to code being removed. It also found that only 8% of SATD removals were acknowledged in commit messages. While most SATD fixes required complex code changes, some were addressed with simpler changes like modifying method calls or conditionals. The study provides insights into how SATD is typically removed and patterns that may help recommend SATD solutions.
The document discusses how agile methods can and should be applied to software maintenance, not just development. It provides several examples and studies that show how agile practices like Extreme Programming (XP) improve maintenance by reducing costs and issues while improving quality, compared to traditional waterfall methods. Open source software development is also discussed as a natural fit for agile maintenance practices.
Modeling and Analyzing Openness Trade-Offs in Software Platforms: A Goal-Orie...Mahsa H. Sadi
[Context and motivation] Open innovation is becoming an important strategy in software development. Following this strategy, software companies are increasingly opening up their platforms to third-party products for extension and completion. [Question / problem] Opening up software platforms to third-party applications often involves difficult trade-offs between openness requirements and critical design concerns such as security, performance, pri-vacy, and proprietary ownership. Deliberate assessment of these trade-offs is crucial to the ultimate quality and viability of an open software platform. [Principal ideas / results] We propose to treat openness as a distinct class of non-functional requirements, and to model and analyze openness requirements and related trade-offs using a goal-oriented approach. The proposed approach allows to refine and analyze openness requirements in parallel with other competing concerns in designing software platforms. The refined re-quirements are used as criteria for selecting appropriate design options. We demonstrate our approach using an example of designing an open embedded software platform for the automotive domain reported in the literature. [Contributions] The proposed approach allows to balance the fulfillment of interacting requirements in opening up platforms to third-party products, and to determine “good-enough” and “open-enough” platform design strategies.
Advantages and Disadvantages of a Monolithic Repositorymustafa sarac
This document discusses a case study conducted at Google to investigate the advantages and disadvantages of using a monolithic source code repository compared to multiple per-project repositories. The study utilized a survey of Google engineers as well as an analysis of developer tool logs. The survey found that engineers strongly prefer Google's monolithic repository and cited visibility of the codebase and simple dependency management as primary benefits. Engineer logs confirmed that they frequently view and edit code from other teams, indicating they take advantage of increased visibility. However, multi-repo systems provide benefits like more stable dependencies and flexibility in tool selection that a monolithic repo cannot match. Overall, the study uncovered several tradeoffs between the two approaches and that preferred development tools also influence engineers' preferences.
Test Driven Development (TDD) is a software development technique where unit tests are written before functional code to verify functionality. The TDD process follows a "Red, Green, Refactor" cycle where tests fail initially ("Red"), code is written to pass tests ("Green"), and code is refactored to improve design. While TDD may improve code quality and catch errors earlier, studies have shown mixed results on productivity and quality improvements. Adopting TDD fully can be challenging in practice due to issues like incomplete test coverage and resistance to change.
Open Source Software Survivability Analysis Using Communication Pattern Valid...IOSR Journals
This document proposes a communication validation tool to analyze the communication patterns of open source software developer communities. The tool would calculate metrics like contribution index, community betweenness centrality, and community density for the Apache Qpid open source project. It outlines formulas to measure these metrics from data extracted from emails between developers, such as number of messages sent and received. The metrics are intended to provide insight into developer contributions, the flow of information between developers, and the cohesiveness of the community over time.
This proposal requests funding to develop an open-source Qt framework for EPICS user interfaces. The reviewer believes this is a worthwhile project that could benefit the EPICS community by providing a modern alternative to aging interface tools. Lyncean Technologies and the principal investigator have experience with EPICS and Qt, positioning them well to complete the proposed work. The work plan and budget appear adequate to achieve the stated objectives. If successful, the project could lead to standardized interface tools and reduce costs for new EPICS projects. It has potential for further funding and commercialization through support services.
The document describes a study that aimed to understand how developers spend their effort during maintenance activities. The researchers analyzed change history and interaction data from open source projects to match developers' effort to the complexity of code changes. They found that developers do not necessarily spend more effort on tasks requiring more complex changes. Additional factors like the number of files changed, bug severity, and developers' experience also affected the effort spent.
The document presents a software bug prediction model. It aims to build a resilient bug prediction model through simulation on open source issue trackers like Jira and Bugzilla. It also aims to conduct a comparative study of the new model against existing competitive models. The model will make use of data from software repositories, bug reports, and code artifacts to predict bugs. Open source projects like Eclipse, Mozilla and Android will be used for simulations. Data mining tools like WEKA and RAPID MINER will be utilized extensively. The model also aims to facilitate code refactoring to improve software maintenance activities like modification and enhancement. Literature in the areas of bug prediction and code refactoring will be surveyed. The research will be conducted in
A Mono- and Multi-objective Approach for Recommending Software RefactoringAli Ouni
This document outlines Ali Ouni's Ph.D. defense presentation on recommending software refactoring using mono-objective and multi-objective approaches. The presentation includes the following key points:
1. It provides context on the need for automated software refactoring recommendation systems to address challenges in manually refactoring code.
2. It describes Ouni's research methodology which involves detecting code smells, generating refactoring recommendations using mono-objective and multi-objective search-based techniques, and evaluating the approaches.
3. It covers code smell detection including generating detection rules using genetic programming from code smell examples, and evaluating the detection approach on several systems.
4. It outlines the presentation including discussing
Software analytics (for software quality purpose) is a statistical or machine learning classifier that is trained to identify defect-prone software modules. The goal of software analytics is to help software engineers prioritize their software testing effort on the most-risky modules and understand past pitfalls that lead to defective code. While the adoption of software analytics enables software organizations to distil actionable insights, there are still many barriers to broad and successful adoption of such analytics systems. Indeed, even if software organizations can access such invaluable software artifacts and toolkits for data analytics, researchers and practitioners often have little knowledge to properly develop analytics systems. Thus, the accuracy of the predictions and the insights that are derived from analytics systems is one of the most important challenges of data science in software engineering.
In this work, we conduct a series of empirical investigation to better understand the impact of experimental components (i.e., class mislabelling, parameter optimization of classification techniques, and model validation techniques) on the performance and interpretation of software analytics. To accelerate a large amount of compute-intensive experiment, we leverage the High-Performance-Computing (HPC) resources of Centre for Advanced Computing (CAC) from Queen’s University, Canada. Through case studies of systems that span both proprietary and open- source domains, we demonstrate that (1) realistic noise does not impact the precision of software analytics; (2) automated parameter optimization for classification techniques substantially improve the performance and stability of software analytics; and (3) the out-of- sample bootstrap validation technique produces a good balance between bias and variance of performance estimates. Our results lead us to conclude that the experimental components of analytics modelling impact the predictions and associated insights that are derived from software analytics. Empirical investigations on the impact of overlooked experimental components are needed to derive practical guidelines for analytics modelling.
The document summarizes a debate on open source versus proprietary software. It discusses definitions of open source software, popular open source licenses, and advantages of open source such as customizability, security, and lower costs. Open source is gaining adoption in government and enterprise due to benefits like avoiding vendor lock-in, lower costs, and higher quality from community contributions. Surveys find increasing enterprise adoption rates, with over 50% of new software to be open source in the next 5 years. Microsoft is also increasingly supporting open source.
Open source refers to software whose source code is publicly accessible and allows for modification and redistribution. The document discusses key aspects of open source including its philosophy of free access and sharing, criteria for open source licenses, examples of popular open source software, and advantages like availability of source code and large developer communities. Common open source licenses are also outlined.
The document discusses techniques for analyzing unstructured text data from software repositories. It describes using textual analysis on code identifiers, comments, commit messages, issue trackers, emails, and forums to perform tasks like traceability link recovery, feature location, clone detection, and bug prediction. Different techniques are discussed, including pattern matching, island parsers, information retrieval methods, and natural language parsing. Choosing the right technique depends on the type of unstructured data and needs of the analysis.
Early Detection of Collaboration Conflicts & Risks in Software DevelopmentRoopesh Jhurani
Early Detection of Collaboration Conflicts & Risks analyzes software development conflicts by studying 9 open source projects totaling 3.4 million lines of code. The study found that textual conflicts occurred in 16% of merges and higher order conflicts in 33% of reported clean merges. Conflicts on average persisted for 3.2 days. The speculative analysis tool Crystal predicts potential conflicts to help developers merge changes safely and avoid conflicts persisting. Crystal examines commits between local and remote repositories to inform developers when merging is safe or risks conflicts.
Exploring the Use of Labels to Categorize Issues in Open-Source Software Pro...Javier Canovas
Slides from our paper titled "Exploring the Use of Labels to Categorize Issues in Open-Source Software Projects" at SANER 2015 conference
You can find the paper here:
https://www.researchgate.net/publication/272794664_Exploring_the_Use_of_Labels_to_Categorize_Issues_in_Open-Source_Software_Projects
SETTA'18 Keynote: Intelligent Software Engineering: Synergy between AI and So...Tao Xie
2018 Keynote Speaker, Symposium on Dependable Software Engineering - Theories, Tools and Applications (SETTA 2018). "Intelligent Software Engineering: Synergy between AI and Software Engineering" http://confesta2018.csp.escience.cn/dct/page/65581
The recent and fast expansion of OSS (Open-source software) communities has fostered research on how open source projects evolve and how their communities interact. Several research studies show that the inflow of new developers plays an important role in the longevity and the success of OSS projects. Beside that they also discovered that an high percentage of newcomers tend to leave the project because of the socio-technical barriers they meet when they join the project. However, such research effort did not generate yet concrete results in support retention and training of project newcomers. In this thesis dissertation we investigated problems arising when newcomers join software projects, and possible solutions to support them. Specifically, we studied (i) how newcomers behave during development activities and how they interact with others developers with the aim at (ii) developing tools and/or techniques for supporting them during the integration in the development team. Thus, among the various recommenders, we defined (i) a tool able to suggest appropriate mentors to newcomers during the training stage; then, with the aim at supporting newcomers during program comprehension we defined other two recommenders: a tool that (ii) generates high quality source code summaries and another tool able to (iii) provide descriptions of specific source code elements. For future work, we plan to improve the proposed recommenders and to integrate other kind of recommenders to better support newcomers in OSS projects.
Test-Driven Development in the Corporate WorkplaceAhmed Owian
What is TDD, and why is it giving traditional software development practices a run for their money? This presentation answers these questions, while focusing on a popular agile methodology, Extreme Programming (XP). It places a particular emphasis on the exploratory programming nature of XP and its testing practice, TDD. The paper also summarizes prior research on TDD and includes the results from a research survey conducted to compare TDD with traditional testing practices.
This document presents MOFAE, a multi-objective optimization approach to framework API evolution. MOFAE models API evolution as a multi-objective optimization problem. It uses four features - call dependency similarity, method signature text similarity, inheritance tree similarity, and method comment similarity - to recommend adaptation rules. MOFAE selects candidate recommendations that are not dominated in all features and sorts them by how many features they are best in. Evaluation shows MOFAE detects 18% more correct rules than previous works and saves 31% effort.
Wait for it: identifying “On-Hold” self-admitted technical debtRungrojMaipradit1
This document presents the results of a study analyzing how developers remove self-admitted technical debt (SATD) from five open source projects. The study found that 20-50% of SATD removals were accidental due to code being removed. It also found that only 8% of SATD removals were acknowledged in commit messages. While most SATD fixes required complex code changes, some were addressed with simpler changes like modifying method calls or conditionals. The study provides insights into how SATD is typically removed and patterns that may help recommend SATD solutions.
The document discusses how agile methods can and should be applied to software maintenance, not just development. It provides several examples and studies that show how agile practices like Extreme Programming (XP) improve maintenance by reducing costs and issues while improving quality, compared to traditional waterfall methods. Open source software development is also discussed as a natural fit for agile maintenance practices.
Modeling and Analyzing Openness Trade-Offs in Software Platforms: A Goal-Orie...Mahsa H. Sadi
[Context and motivation] Open innovation is becoming an important strategy in software development. Following this strategy, software companies are increasingly opening up their platforms to third-party products for extension and completion. [Question / problem] Opening up software platforms to third-party applications often involves difficult trade-offs between openness requirements and critical design concerns such as security, performance, pri-vacy, and proprietary ownership. Deliberate assessment of these trade-offs is crucial to the ultimate quality and viability of an open software platform. [Principal ideas / results] We propose to treat openness as a distinct class of non-functional requirements, and to model and analyze openness requirements and related trade-offs using a goal-oriented approach. The proposed approach allows to refine and analyze openness requirements in parallel with other competing concerns in designing software platforms. The refined re-quirements are used as criteria for selecting appropriate design options. We demonstrate our approach using an example of designing an open embedded software platform for the automotive domain reported in the literature. [Contributions] The proposed approach allows to balance the fulfillment of interacting requirements in opening up platforms to third-party products, and to determine “good-enough” and “open-enough” platform design strategies.
Advantages and Disadvantages of a Monolithic Repositorymustafa sarac
This document discusses a case study conducted at Google to investigate the advantages and disadvantages of using a monolithic source code repository compared to multiple per-project repositories. The study utilized a survey of Google engineers as well as an analysis of developer tool logs. The survey found that engineers strongly prefer Google's monolithic repository and cited visibility of the codebase and simple dependency management as primary benefits. Engineer logs confirmed that they frequently view and edit code from other teams, indicating they take advantage of increased visibility. However, multi-repo systems provide benefits like more stable dependencies and flexibility in tool selection that a monolithic repo cannot match. Overall, the study uncovered several tradeoffs between the two approaches and that preferred development tools also influence engineers' preferences.
Test Driven Development (TDD) is a software development technique where unit tests are written before functional code to verify functionality. The TDD process follows a "Red, Green, Refactor" cycle where tests fail initially ("Red"), code is written to pass tests ("Green"), and code is refactored to improve design. While TDD may improve code quality and catch errors earlier, studies have shown mixed results on productivity and quality improvements. Adopting TDD fully can be challenging in practice due to issues like incomplete test coverage and resistance to change.
Open Source Software Survivability Analysis Using Communication Pattern Valid...IOSR Journals
This document proposes a communication validation tool to analyze the communication patterns of open source software developer communities. The tool would calculate metrics like contribution index, community betweenness centrality, and community density for the Apache Qpid open source project. It outlines formulas to measure these metrics from data extracted from emails between developers, such as number of messages sent and received. The metrics are intended to provide insight into developer contributions, the flow of information between developers, and the cohesiveness of the community over time.
This proposal requests funding to develop an open-source Qt framework for EPICS user interfaces. The reviewer believes this is a worthwhile project that could benefit the EPICS community by providing a modern alternative to aging interface tools. Lyncean Technologies and the principal investigator have experience with EPICS and Qt, positioning them well to complete the proposed work. The work plan and budget appear adequate to achieve the stated objectives. If successful, the project could lead to standardized interface tools and reduce costs for new EPICS projects. It has potential for further funding and commercialization through support services.
The document describes a study that aimed to understand how developers spend their effort during maintenance activities. The researchers analyzed change history and interaction data from open source projects to match developers' effort to the complexity of code changes. They found that developers do not necessarily spend more effort on tasks requiring more complex changes. Additional factors like the number of files changed, bug severity, and developers' experience also affected the effort spent.
The document presents a software bug prediction model. It aims to build a resilient bug prediction model through simulation on open source issue trackers like Jira and Bugzilla. It also aims to conduct a comparative study of the new model against existing competitive models. The model will make use of data from software repositories, bug reports, and code artifacts to predict bugs. Open source projects like Eclipse, Mozilla and Android will be used for simulations. Data mining tools like WEKA and RAPID MINER will be utilized extensively. The model also aims to facilitate code refactoring to improve software maintenance activities like modification and enhancement. Literature in the areas of bug prediction and code refactoring will be surveyed. The research will be conducted in
A Mono- and Multi-objective Approach for Recommending Software RefactoringAli Ouni
This document outlines Ali Ouni's Ph.D. defense presentation on recommending software refactoring using mono-objective and multi-objective approaches. The presentation includes the following key points:
1. It provides context on the need for automated software refactoring recommendation systems to address challenges in manually refactoring code.
2. It describes Ouni's research methodology which involves detecting code smells, generating refactoring recommendations using mono-objective and multi-objective search-based techniques, and evaluating the approaches.
3. It covers code smell detection including generating detection rules using genetic programming from code smell examples, and evaluating the detection approach on several systems.
4. It outlines the presentation including discussing
Software analytics (for software quality purpose) is a statistical or machine learning classifier that is trained to identify defect-prone software modules. The goal of software analytics is to help software engineers prioritize their software testing effort on the most-risky modules and understand past pitfalls that lead to defective code. While the adoption of software analytics enables software organizations to distil actionable insights, there are still many barriers to broad and successful adoption of such analytics systems. Indeed, even if software organizations can access such invaluable software artifacts and toolkits for data analytics, researchers and practitioners often have little knowledge to properly develop analytics systems. Thus, the accuracy of the predictions and the insights that are derived from analytics systems is one of the most important challenges of data science in software engineering.
In this work, we conduct a series of empirical investigation to better understand the impact of experimental components (i.e., class mislabelling, parameter optimization of classification techniques, and model validation techniques) on the performance and interpretation of software analytics. To accelerate a large amount of compute-intensive experiment, we leverage the High-Performance-Computing (HPC) resources of Centre for Advanced Computing (CAC) from Queen’s University, Canada. Through case studies of systems that span both proprietary and open- source domains, we demonstrate that (1) realistic noise does not impact the precision of software analytics; (2) automated parameter optimization for classification techniques substantially improve the performance and stability of software analytics; and (3) the out-of- sample bootstrap validation technique produces a good balance between bias and variance of performance estimates. Our results lead us to conclude that the experimental components of analytics modelling impact the predictions and associated insights that are derived from software analytics. Empirical investigations on the impact of overlooked experimental components are needed to derive practical guidelines for analytics modelling.
The document summarizes a debate on open source versus proprietary software. It discusses definitions of open source software, popular open source licenses, and advantages of open source such as customizability, security, and lower costs. Open source is gaining adoption in government and enterprise due to benefits like avoiding vendor lock-in, lower costs, and higher quality from community contributions. Surveys find increasing enterprise adoption rates, with over 50% of new software to be open source in the next 5 years. Microsoft is also increasingly supporting open source.
Open source refers to software whose source code is publicly accessible and allows for modification and redistribution. The document discusses key aspects of open source including its philosophy of free access and sharing, criteria for open source licenses, examples of popular open source software, and advantages like availability of source code and large developer communities. Common open source licenses are also outlined.
This document discusses open source software and open source business models. It begins with an introduction to open source software, including definitions and licenses. It notes the growth of open source and benefits such as lower costs. However, it also identifies challenges for open source like the lack of a "whole product" and professional services. The document then analyzes the differences between proprietary and open source business models. It proposes crossing the adoption chasm by focusing on the "whole product" and targeting customer needs rather than just the software. Overcoming barriers will also help drive more widespread open source adoption.
Can end user apps also be open source? OW2online'20, June 2020OW2
Open-Source is highly present. However, the competition in the end-user app space with Cloud providers is tough. A lot of proprietary solutions exist and are build on Open-Source libraries and technologies, but are not shared as Open-Source.
XWiki SAS is a provider of open-source collaboration apps (XWiki, CryptPad) for now 15 years living only off it's Open-Source technologies.
How is it possible to develop Open Source end-user apps ? What are the challenges to achieve this ? How do you finance the technology ? How do you sell it ? How do you differentiate your software from proprietary solutions ?
This is the aim of this presentation, to share our experience and our history.
A slideshow on what Open Source is, how to start contributions with special focus on Mozilla's own contribution pathways.
Credits: Ritwick Halder (http://www.slideshare.net/geniusanalyser/open-source-seminar-presentation?qid=46528d24-df84-4603-b731-4f7883341a2f&v=default&b=&from_search=7)
The document discusses the results of a survey on open source software usage and security practices. Some key findings include:
- Over half of organizations have an open source policy but only two-thirds follow the policies. Top challenges are lack of enforcement and unclear expectations.
- Most organizations do not have meaningful controls over the components used in applications and many have an incomplete view of license risks.
- Few organizations actively monitor components for vulnerability changes or maintain an inventory of components used in production applications. Responsibilities for security are often unclear.
- Application security practices often lag development speeds, with security analysis rarely performed early in the process. Training availability and developer interest in security is limited.
Establishing an Open Source Program OfficeLee Calcote
The document discusses establishing an open source program office. It covers why companies create open source program offices, including increased awareness, influence, compliance, and development velocity. It discusses the prominence of open source in software innovation and outlines key benefits and strategies for an open source program office, including consumption, compliance, contribution, community engagement, and competition considerations. It also covers the role of an open source program office and challenges in establishing one.
FrOSCon: The business value of open sourceSimon Phipps
Open source is now at the heart of business and society. We need more than ever to understand that what's important is not just software but the freedom to use, study, improve and share software -- software freedom.
This is the talk I presented at FrOSCON in St Augustin, Germany, on Saturday August 22, 2015.
A seminar presentation on Open Source by Ritwick Halder - a computer science engineering student at Academy Of Technology, West Bengal, India - 2013
Personal Website - www.ritwickhalder.com
The document defines open source as a philosophy that promotes free redistribution and access to a product's design, ideas, and implementation details. Open source software is released to the development community for further evolution, whereas closed source software is developed privately by a small team. Open source has advantages like availability of source code, not depending on vendors, better quality/customizability, and lower costs compared to proprietary software. However, open source can also have disadvantages like a learning curve, incompatibility issues, and lack of financial incentives for developers. Popular examples of open source include Android, Linux, Firefox, and LibreOffice. The document also discusses open source licensing and common myths about open source software.
The document provides an overview of a 3-day open source workshop being conducted by Luciano Resende from the Apache Software Foundation. Day 1 will cover topics on open source, licenses, communities and how to get involved in Apache projects. Day 2 focuses on hands-on development, setting up environments and tools. Day 3 is about mentoring expectations and working on project proposals. The workshop aims to educate participants and help them get involved in open source.
This document provides an overview and update on the Symphony Software Foundation. It discusses the Foundation's guiding principles for an open source ecosystem, including openness, developer focus, inclusivity, and transparency. It outlines the roles of the Foundation, Symphony LLC, and community members. It also summarizes progress made, such as the first member meeting and elected member leads. Working groups are discussed as a way to foster adoption and industry convergence. The contribution process and different classes of projects under the Foundation umbrella are also summarized. Finally, initiatives to enable member contributions through a seamless developer experience, open source compliance, meritocratic influence, and awareness/visibility are outlined.
Explains the concept of Open Source Software and argues why Libraries should use it. Also provides a glimpse of OSS Applications that can be used in Libraries
This document provides an overview of open source software (OSS), including its history, how it works, differences from closed source software, reasons for its popularity, examples of OSS, advantages and disadvantages, and myths about OSS. The history section describes how the idea of open source originated from Richard Stallman's belief that software should be modifiable by programmers. It discusses how OSS code is typically stored in public repositories and comes with an open source license. The document also compares OSS to closed source software and lists some popular OSS examples like Linux, Firefox and LibreOffice. Finally, it debunks common myths about OSS like it all being Linux, being less secure than proprietary software, and not
Aliens in Your Apps! Are You Using Components With Known Vulnerabilities?Sonatype
This presentation was given by Ryan Berg, Sonatype CSO, at the All Things Open conference in Raleigh, NC.
We all know that Open Source brings speed, innovation, cost savings and more to our development efforts. It also brings risk. Bash, Heartbleed, Struts – anyone? Join this session to hear the latest research on the most risky open source component types – the alien invaders hiding in your software. And learn best practices to manage your risk based on the 11,000 people who shared their experiences in the 4 year industry-wide study on open source development and application security. Among the surprising results…
- 1-in-3 organizations had or suspected an open source breach in the last 12 months
- Only 16% of participants must prove they are not using components with known vulnerabilities
- 64% don’t track changes in open source vulnerability data
OSMC 2021 | Contributing to open source with the example of icinga (1)NETWAYS
Have you ever contributed to an open source project? There are tonnes of different ways to help out, and we want to show you how: From GitHub workflows and general contributing as well as more specific Icinga related topics. We at Icinga have been working on some guidelines for getting started with development on our projects – contributing to the Icinga project has never been easier! That could be working on a plugin, a webmodule, fixing bugs in Icinga Web 2 or Icinga 2, adding features to the director or simply adapting the documentation.
Open Source for Enterprise: Architecting Digital Change. Reading Room
Digital is a strategic competency, not just another channel for your company marketing message.
How can your company use the nature of Open Source as a strategy to cope with change.
Open source technology allows anyone to access, modify, and share source code for free. Examples of open source software include 7-Zip, Blender, Eclipse, GIMP, Inkscape, Mozilla Firefox, and Mozilla Thunderbird. Open source software has advantages like low or no cost, accessibility of source code, community improvements, and adherence to open standards. However, it also lacks proprietary software benefits like bundled products and the inability to modify source code. Overall, open source provides reliability, stability, auditability, flexibility, and accountability at a lower cost compared to proprietary alternatives.
A primer on adapting open source software to an IT service organization. Focuses on how open source licenses are different and how it may affect your business model and intellectual property.
This document discusses architecting flow in software engineering. It argues that software engineering involves multi-person, multi-version development across different scales, from individual components to integrated systems. It emphasizes that information flow between technical and social tools can improve productivity and quality, especially with higher levels of socio-technical congruence. The document presents examples of information flow within and between systems, and how tool architectures that support information flow along value streams can help track important items like features, defects, risks, and debts across teams and tools.
Is software engineering research addressing software engineering problems?Gail Murphy
Keynote from Automated Software Engineering 2020. (See https://www.cs.ubc.ca/~murphy for video)
Brian Randell described software engineering as “the multi-person development of multi-version programs”. David Parnas has expressed that this “pithy phrase implies everything that differentiates software engineering from other programming”. How does current software engineering research compare against this definition? Is there currently too much focus on research into problems and techniques more associated with programming than software engineering? Are there opportunities to use Randell’s description of software engineering to guide the community to new research directions? In this talk, I will explore these questions and discuss how a consideration of the development streams used by multiple individuals to produce multiple versions of software opens up new avenues for impactful software engineering research.
Making Effective, Useful Software Development ToolsGail Murphy
The document discusses making effective software development tools for humans. It presents examples of tools that either successfully or unsuccessfully bridge the mismatch between how developers work and how tools are designed. The Whyline debugging tool reduces debugging time by directly supporting developers' inquisitive nature. Mylyn improves productivity by leveraging how developers work in tasks and use episodic memory. In contrast, defect prediction tools showed no behavioral change when flags were added to code reviews, failing to bridge theory and practice. Overall, the document argues tools should be designed around how humans work, not just computers.
The Need for Context in Software EngineeringGail Murphy
2018 IEEE Harlan Mills Award Keynote at the Automated Software Engineering Conference that discusses reducing the accidental complexity in software development so that the tools software professionals use amplify human intelligence.
Impactful SE Research: Some Do's and More Don'tsGail Murphy
The document discusses ways for software engineering research to have impact. It recommends focusing on real-world problems, being open to opportunities, collaborating, adapting, and being generous with one's work. The document cautions against only focusing on "home runs", putting research above people, thinking innovation only happens in academia, ignoring issues of scale, relying only on open source, and neglecting the importance of messaging. It then describes Gail Murphy's career which exemplifies these principles through her academic works on Reflexion Models and Hipikat and her role in founding Tasktop to commercialize the Mylar technology, demonstrating impacts across multiple domains.
The Elusive Nature of Context: Why We Need It and Were We Might Find ItGail Murphy
Keynote at CASCON 2016. Describes the need for software to support the work patterns of humans so that the software works for humans instead of humans working for the software.
Human-centric Software Development ToolsGail Murphy
What characteristics research into software development tools? This talk explores how research can help understand why some tools are effective and some are not and can help drive to the development of more effective tools for software developers.
Is Continuous Adoption in Software Engineering Achievable and Desirable? Gail Murphy
ICSE 2016 Software Engineering in Practice keynote.
Continuity in software development is all about shortening cycle times. For example, continuous integration shortens the time to integrating changes from multiple developers and continuous delivery shortens the time to get those integrated changes into the hands of users. Although it is now possible to get multiple new versions of complex software systems released per day, it still often takes years, if ever, to get software engineering research results into use by software development teams. What would software engineering research and software engineering development look like if we could shorten the cycle time from taking a research result into practice? What can we learn from how continuity in development is performed to make it possible to achieve continuous adoption of research results? Do we even want to achieve continuous adoption? In this talk, I will explore these questions, drawing from experiences I have gained in helping to take a research idea to market and from insights learned from interviewing industry leaders.
This document discusses research into measuring and improving software development productivity on a minute-by-minute basis. It explores developers' perspectives on productivity, observes their activities and work flows, and suggests ways forward at the individual, team, and organizational levels. Key findings include that development work is highly fragmented, habitual productivity patterns exist, and mitigating context switches can improve focus. The research aims to develop more flexible and adaptable measurement and retrospective tools to help developers and organizations enhance productivity.
Forward relationships (35% of pairs) involve users seeking help or requesting features from library maintainers, while backward relationships (30% of pairs) indicate existing communities between projects. The remaining 35% have both forward and backward interactions as users contribute to libraries and libraries later update code in user projects. Generally, the more popular the library, the less likely developers are to get involved socially. While social interactions precede technical dependencies 39% of the time, most interactions in those cases are short-lived, and interactions typically take a long time when technical dependencies come first.
Getting to Flow in Software Development (ASWEC 2014 Keynote)Gail Murphy
Humans are amazing at processing information. It is a good thing that they are because software development projects generate a tremendous amount of information of various forms from predominantly natural language documents like requirements to blended natural language and structured artifacts like issues to predominantly structured source and test code. For some time, the amount of information produced daily in a large software development has exceeded a human’s ability to process that information. Instead of producing tools that allow a software developer to focus on information pertinent to a task, too many tools have been built that focus solely on producing as much information as possible. In this talk, I will discuss interaction styles for tools that may bring us closer to keeping a developer in the flow of a task. By improving flow, we can enable developers to work smarter, work better and have more fun.
The document discusses the importance of considering the human element in software engineering tool interfaces. Many current interfaces are designed without fully recognizing that a human will be using the tool. The document advocates for interfaces that keep the human "in the flow" of solving problems by utilizing interaction styles like problem-based dialogue, context awareness, and recommendations to reduce cognitive overload and click-heavy interactions. The goal is for interfaces to better support the human cognitive activities involved in software engineering tasks.
What is Software Development Productivity Anyway?Gail Murphy
This document discusses software development productivity and explores ways to measure and improve it. It begins by noting that software is becoming increasingly important and examines past views of productivity focused on outputs like lines of code. More modern perspectives emphasize quality and validated learning. The document suggests individual software developers could track metrics like the percentage of their work released to users and number of commits over time to reflect on productivity. Integrating and analyzing application lifecycle data may help individuals understand what makes them most productive by learning from successes and failures. The overall message is that empowering individuals with data about their work can help continuously improve software development productivity.
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Adobe After Effects is a software application used for creating motion graphics, special effects, and video compositing. It's widely used in TV and film post-production, as well as for creating visuals for online content, presentations, and more. While it can be used to create basic animations and designs, its primary strength lies in adding visual effects and motion to videos and graphics after they have been edited.
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Integration with Adobe Creative Cloud:
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After Effects is part of the Adobe Creative Cloud, a suite of software that includes other popular applications like Photoshop and Premiere Pro.
Post-Production Tool:
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After Effects is primarily used in the post-production phase, meaning it's used to enhance the visuals after the initial editing of footage has been completed.
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Adobe Master Collection CC (Creative Cloud) is a comprehensive subscription-based package that bundles virtually all of Adobe's creative software applications. It provides access to a wide range of tools for graphic design, video editing, web development, photography, and more. Essentially, it's a one-stop-shop for creatives needing a broad set of professional tools.
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Adobe Photoshop: For image editing and manipulation.
Adobe Illustrator: For vector graphics and illustration.
Adobe InDesign: For page layout and desktop publishing.
Adobe Premiere Pro: For video editing and post-production.
Adobe After Effects: For visual effects and motion graphics.
Adobe Audition: For audio editing and mixing.
Microsoft AI Nonprofit Use Cases and Live Demo_2025.04.30.pdfTechSoup
In this webinar we will dive into the essentials of generative AI, address key AI concerns, and demonstrate how nonprofits can benefit from using Microsoft’s AI assistant, Copilot, to achieve their goals.
This event series to help nonprofits obtain Copilot skills is made possible by generous support from Microsoft.
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Explore real-world nonprofit use cases and success stories.
Participate in live demonstrations and a hands-on activity to see how you can use Microsoft 365 Copilot in your own work!
Landscape of Requirements Engineering for/by AI through Literature ReviewHironori Washizaki
Hironori Washizaki, "Landscape of Requirements Engineering for/by AI through Literature Review," RAISE 2025: Workshop on Requirements engineering for AI-powered SoftwarE, 2025.
Proactive Vulnerability Detection in Source Code Using Graph Neural Networks:...Ranjan Baisak
As software complexity grows, traditional static analysis tools struggle to detect vulnerabilities with both precision and context—often triggering high false positive rates and developer fatigue. This article explores how Graph Neural Networks (GNNs), when applied to source code representations like Abstract Syntax Trees (ASTs), Control Flow Graphs (CFGs), and Data Flow Graphs (DFGs), can revolutionize vulnerability detection. We break down how GNNs model code semantics more effectively than flat token sequences, and how techniques like attention mechanisms, hybrid graph construction, and feedback loops significantly reduce false positives. With insights from real-world datasets and recent research, this guide shows how to build more reliable, proactive, and interpretable vulnerability detection systems using GNNs.
Designing AI-Powered APIs on Azure: Best Practices& ConsiderationsDinusha Kumarasiri
AI is transforming APIs, enabling smarter automation, enhanced decision-making, and seamless integrations. This presentation explores key design principles for AI-infused APIs on Azure, covering performance optimization, security best practices, scalability strategies, and responsible AI governance. Learn how to leverage Azure API Management, machine learning models, and cloud-native architectures to build robust, efficient, and intelligent API solutions
Meet the Agents: How AI Is Learning to Think, Plan, and CollaborateMaxim Salnikov
Imagine if apps could think, plan, and team up like humans. Welcome to the world of AI agents and agentic user interfaces (UI)! In this session, we'll explore how AI agents make decisions, collaborate with each other, and create more natural and powerful experiences for users.
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Mastering Fluent Bit: Ultimate Guide to Integrating Telemetry Pipelines with ...Eric D. Schabell
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AgentExchange is Salesforce’s latest innovation, expanding upon the foundation of AppExchange by offering a centralized marketplace for AI-powered digital labor. Designed for Agentblazers, developers, and Salesforce admins, this platform enables the rapid development and deployment of AI agents across industries.
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Implications of Open Source Software Use (or Let's Talk Open Source)
1. Let’s Talk
Open Source
or…
Implications of Open Source Software Use
Gail C. Murphy
University of British Columbia
Tasktop Technologies
@gail_murphy
A restrictive license has been
chosen given unpublished work,
and descriptions of others work
2. 2
Who Are You?
Let’s Talk Open Source
Code multiple
days a week
Ü
Mostly Organize
Coding
Ü
Something
Else
Ü
3. 3Let’s Talk Open Source
Here’s My Plan
Integral and Critical
!
Managing Use
á
Implications
„
4. 4
The Take-Aways
Let’s Talk Open Source
Open source:
does not mean
free
Open source:
use requires
knowledge
Open source:
the fabric on which
software development
occurs
5. START
Keynote Presentation Template
Welcome to the best experience ı have in this presentation
Where a variety of sections, easy and to understand is demonstrated !
Integral and Critical
6. 6
Supply of Open Source Components
Let’s Talk Open Source:
Integral and Critical
suppliers
total
components
>105K >834K
(Java) central repository GitHub project dependences
2015 State of the Software: Supply Chain Report (Sonatype)
7. 7
Why Use Open Source Components?
Let’s Talk Open Source:
Integral and Critical
build products (and other components) faster
higher-quality components
lower cost to (re)use
ongoing updates
8. 8
Use of Open Source Components
Let’s Talk Open Source:
Integral and Critical
17.2 Billion
Requests Served
Java components in 2014
to >106K organizations
2015 State of the Software: Supply Chain Report (Sonatype)
9. 9
What Happens When Open Source Components Fail?
Let’s Talk Open Source:
Integral and Critical
https://xkcd.com/1354/
10. 10
What Happens When Open Source Components Fail?
Let’s Talk Open Source:
Integral and Critical
https://xkcd.com/1354/
11. 11
What Happens When Open Source Components Fail?
Let’s Talk Open Source:
Integral and Critical
https://xkcd.com/1354/
12. 12
What Happens When Open Source Components Fail?
Let’s Talk Open Source:
Integral and Critical
Economist, Apr 12, 2014
13. 13
Even When Better Versions of Components Exist…
Let’s Talk Open Source:
Integral and Critical
CVE-2007-6721
CVSS 10
Exploitability 10
since identification…
11,236 organizations have downloaded the vulnerable
component 214,484 times
2015 State of the Software: Supply Chain Report (Sonatype)
14. 14
Even When Better Versions of Components Exist…
Let’s Talk Open Source:
Integral and Critical
2015 State of the Software: Supply Chain Report (Sonatype)
of 240,757 component
downloads by large
financial or technology
firms in 2014…
were of known
defective part
and or those with
a defective part,
the defects were
older than 2013
7.5%
66%
16. 16
The Take-Aways: Integral and Critical
Let’s Talk Open Source:
Managing Use
Open source:
the fabric on which
software development
occurs
17. START
Keynote Presentation Template
Welcome to the best experience ı have in this presentation
Where a variety of sections, easy and to understand is demonstrated
Managing Use
á
19. 19
Interviews with Engineering Leaders
Let’s Talk Open Source:
Managing Use
Open before
Closed
Investigate open source
- who else is using?
- how many contributors?
- support model?
- security profile?
Know they might need to fork
Some place committers on project
Murphy, Personnel Correspondence, 2016
22. START
Keynote Presentation Template
Welcome to the best experience ı have in this presentation
Where a variety of sections, easy and to understand is demonstrated
Implications
„
23. START
Keynote Presentation Template
Welcome to the best experience ı have in this presentation
Where a variety of sections, easy and to understand is demonstrated
Analysis of 1000s of GitHub Projects
24. 24
What Kind of Component You Are Depending On?
Let’s Talk Open Source:
Implications
Guava
Vault
Junit
0%
25%
50%
75%
100%
4 32 256 2048
Number of user projects
Rs:Ratioofuserprojectshavingsocialinteractions
Palyart, Murphy, Masrani 2016, in progress
25. 25
Set Your Expectations
Let’s Talk Open Source:
Implications
0
500
1000
1500
4 32 256 2048
Number of user projects
Medianinvolvementtime
Palyart, Murphy, Masrani 2016, in progress
26. 26
Set Your Expectations
Let’s Talk Open Source:
Implications
Technical dependence before social interaction
Social interaction before technical dependence
Palyart, Murphy, Masrani 2016, in progress
27. 27
Set Your Expectations
Let’s Talk Open Source:
Implications
1
10
100
1000
10000
Social before technical Technical before social
Numberofcontributions
Palyart, Murphy, Masrani 2016, in progress
28. START
Keynote Presentation Template
Welcome to the best experience ı have in this presentation
Where a variety of sections, easy and to understand is demonstrated
Survey about Software Licenses
29. 29
Know the Impact of Choosing an Open Source Component
Let’s Talk Open Source:
Implications
John has been working on ToDoApp, his own personal task management
application. ToDoApp is going to be a desktop-based application that will
be used exclusively by John on his own computer. To make sure he does not
lose any of his very special tasks, John is planning to use a lightweight
library called LightDB to persist ToDoApp’s data.
If LightDB is distributed under the following licenses, would John be
allowed to use it as part of ToDoApp?
GNU GPL 3.0
GNU LGPL 3.0
MPL 2.0
UnsureNoYes
UnsureNoYes
UnsureNoYes
Almedia, Murphy, Wilson, Hoye, 2016, under submission
30. 30
Know the Impact of Choosing an Open Source Component
Let’s Talk Open Source:
Implications
If LightDB is distributed under the following licenses, would John be
allowed to use it as part of ToDoApp?
GNU GPL 3.0
GNU LGPL 3.0
MPL 2.0
Yes
Yes
Yes 375
respondents
Almedia, Murphy, Wilson, Hoye, 2016, under submission
31. 31
Know the Impact of Choosing an Open Source Component
Let’s Talk Open Source:
Implications
As the lead developer of a new product at GreatSoftware Inc., Laura decided to
use an existing authentication library she found on the web called SafeAuth.
She realizes that SafeAuth could be improved using a stronger cryptographic
algorithm when storing users’ information. The product is going to be released
under a commercial software license, but Laura would like to release the
improved version of SafeAuth as open source.
If SafeAuth is distributed under MPL, would Laura and her team be allowed to
release the improved version of SafeAuth as open source.
GNU GPL 3.0
GNU LGPL 3.0
MPL 2.0
UnsureNoYes
UnsureNoYes
UnsureNoYes
Almedia, Murphy, Wilson, Hoye, 2016, under submission
32. 32
Know the Impact of Choosing an Open Source Component
Let’s Talk Open Source:
Implications
If SafeAuth is distributed under MPL, would Laura and her team be allowed to
release the improved version of SafeAuth as open source.
GNU GPL 3.0
GNU LGPL 3.0
MPL 2.0
No
No
Yes 375
respondents
Almedia, Murphy, Wilson, Hoye, 2016, under submission
35. 35
The Take-Aways
Let’s Talk Open Source
Open source:
does not mean
free
Open source:
use requires
knowledge
Open source:
the fabric on which
software development
occurs
@gail_murphy