Presented at: The 6th International Conference on Technical Debt (TechDebt ‘23)
Date of Conference: May 2023
Conference Location: Melbourne, Australia
The preprint is available at: https://arxiv.org/abs/2303.02258
This document outlines the topics covered in five units of a Software Engineering course. Unit I introduces software engineering paradigms like waterfall and spiral models. Unit II covers software design concepts like abstraction and modularity. Unit III discusses software testing and maintenance. Unit IV covers software metrics and quality assurance. Unit V focuses on software configuration management. Key concepts covered include software development lifecycles, risk analysis, requirements engineering, and project planning techniques.
This document outlines the topics covered in a software engineering course across 5 units: introduction, software design, software testing and maintenance, software metrics, and software configuration management. The introduction unit discusses software engineering paradigms like waterfall and spiral models. Software design covers concepts like abstraction, modularity, and design notations. Software testing and maintenance examines strategies, tools, and maintenance. Software metrics focuses on process and product measurement. Software configuration management needs and version control are also introduced.
This document provides an overview of advance software engineering concepts. It discusses recommended books on software engineering and common software engineering activities like systems analysis and design. It also discusses key software engineering challenges like increasing diversity and demands for reduced delivery times. Different software development lifecycles are covered, including the waterfall model. Frequently asked questions about software engineering concepts are also answered. Agile software development practices like daily stand-ups, iteration planning, and test-driven development are explained.
Many developers don't like the idea of low or no code, yet they use tooling to dramatically lower the amount of code they need to write.
This presentation covers what low code is, strengths and weaknesses and the future: what will make them successful and why developers should embrace these tools.
I am Asst. Professor at Center Department of Computer Science and IT, Tribhuvan University
https://cdcsit.edu.np/members/balkrishna/profile
This document provides an introduction to software engineering. It begins with the course outcomes, which are to apply the software engineering lifecycle, gain knowledge of software and UI design, and apply testing guidelines. It then covers topics like the definition of software engineering, its objectives like maintainability and portability, and the software development lifecycle which includes stages like requirements analysis, design, development, testing, and deployment. The importance of software engineering is discussed as helping to reduce complexity, minimize costs, decrease time, and handle large projects. References are provided at the end.
Unit_1(Software and Software Engineering).pptxtaxegap762
software enginneering introduction for better understanding brief intoduce software technology and related topics software enginneering introduction for better understanding brief intoduce software technology and related topics
The document discusses the origins and drivers of software engineering as a discipline. It arose in response to frequent software project failures in the late 1960s, termed the "software crisis". Key points:
- Software engineering aims to apply systematic and quantifiable principles to software development and maintenance to improve quality, productivity and job satisfaction.
- It draws on computer science, management science, economics and other fields. Processes and models help manage complex software projects.
- Early process models included waterfall and prototyping. Later agile models like spiral emphasize iterative development and risk management over rigid phases.
Here are the key characteristics of engineering:
1. Engineers proceed by making a series of decisions, carefully evaluating options and choosing appropriate approaches at each decision point based on tradeoff analysis of costs and benefits.
2. Engineers measure things quantitatively when appropriate, calibrate and validate measurements, and use approximations based on experience.
3. Engineers design things, whether physical systems, software systems, or business processes. Design involves establishing requirements, generating alternative solutions, evaluating alternatives, and choosing a solution.
4. Engineers build or construct things, whether physical prototypes or software systems. They integrate components and ensure everything works together as intended.
5. Engineers test things, whether by simulation, experimentation, or operational trials,
Soirée du Test Logiciel - Présentation de Kiuwan (Jack ABDO)TelecomValley
This document provides an overview of a company and its enterprise software analytics platform. The company was founded in 2008 and has headquarters in Orlando, Florida and Madrid, Spain. It has over 4000 users across 25 countries. The platform includes modules for code analysis, code security, architecture, life cycle management, and governance that help customers improve application quality, reduce risks and costs, and make better decisions about their software development.
Kelis King offer involve conducting system testing to ensure correct operation, and integration testing to ensure the system integrates correctly with other required systems, such as databases.
The document describes a course on software engineering taught by Dr. P. Visu at Velammal Engineering College. It includes the course objectives, outcomes, syllabus, and learning resources. The key objectives are to understand software processes, requirements engineering, object-oriented concepts, software design, testing, and project management techniques. The syllabus covers topics like software processes, requirements analysis, object-oriented concepts, software design, testing, and project management over 5 units. Recommended textbooks and online references are also provided.
Capability Building for Cyber Defense: Software Walk through and Screening Maven Logix
Dr. Fahim Arif who is the Director R&D at MCS, principal investigator and GHQ authorized consultant for Nexsource Pak (Pvt) Ltd) discussed the capability of building cyber defense in the Data Protection and Cyber Security event that was hosted recently by Maven Logix. In his session he gave the audience valuable information about the life cycle of a cyber-threat discussing what and how to take measures by performing formal code reviews, code inspections. He discussed essential elements of code review, paired programming and alternatives to treat and tackle cyber-threat
In this presentation, it will cover different software development methodologies. These include the common types of SDM, and the pros and cons.
A software development methodology involves several steps. These include planning, structuring, and performance tracking.
In some instances, it may also include extreme programming. The objective is to streamline the process when developing software or any product.
Almost all software development methodologies are non-technical. This means they do not deal with the technical aspects of software design and development. They focus more on the internal operations, and other processes involved in the project.
Take note that each has its specific features. Gauge your options, and choose the best one that suits your needs.
This document discusses software engineering. It begins by defining software as a set of instructions that take inputs and produce outputs as determined by the user. It then discusses the essential components of software including instructions, data structures, and documents.
It describes different types of software such as system software, real-time software, business software, scientific software, embedded software, AI software, personal computer software, and internet software. Good software is discussed in terms of attributes like maintainability, correctness, reusability, reliability, portability, and efficiency.
Finally, it defines software engineering as a systematic collection of practices for developing quality software in an efficient and cost-effective manner. The major roles of software engineering are to increase productivity
The document provides information about a course on software engineering taught by Dr. P. Visu at Velammal Engineering College. It includes the course objectives, outcomes, syllabus, textbooks and references. The objectives are to understand software project phases, requirements engineering, object-oriented concepts, enterprise integration and various testing and project management techniques. The outcomes cover comparing process models, formulating requirements engineering concepts, understanding object-oriented fundamentals, applying software design systematically, and evaluating project schedules and costs. The syllabus covers topics like software processes, requirements analysis, object-oriented concepts, software design, and testing and management over 5 units.
This document discusses software engineering and various aspects of software. It defines software engineering as an engineering discipline concerned with all aspects of software production. It describes different types of software applications, including system software, application software, embedded software, and web/mobile applications. It also discusses important software engineering activities like specification, development, validation, and evolution.
This document provides an overview of a software engineering course. It discusses key topics that will be covered in the course including software processes, agile development, requirements engineering, system modeling, architectural design, testing and evolution. It outlines the course objectives of providing an introduction to important software engineering concepts. It also discusses different types of software applications and the diversity of techniques used for different applications. Finally, it covers software engineering fundamentals that apply across all application types.
This document discusses the scope of software engineering. It begins by defining software and engineering. It then explains that software engineering aims to produce software that meets client needs, is fault-free, delivered on time and budget, and is easy to modify. It discusses why software engineering is needed due to past software failures. The document then covers various aspects of software engineering including historical, economic, and maintenance aspects. It also discusses common software engineering roles and development team members. Finally, it provides an overview of different software development lifecycle models.
This presentation explores code comprehension challenges in scientific programming based on a survey of 57 research scientists. It reveals that 57.9% of scientists have no formal training in writing readable code. Key findings highlight a "documentation paradox" where documentation is both the most common readability practice and the biggest challenge scientists face. The study identifies critical issues with naming conventions and code organization, noting that 100% of scientists agree readable code is essential for reproducible research. The research concludes with four key recommendations: expanding programming education for scientists, conducting targeted research on scientific code quality, developing specialized tools, and establishing clearer documentation guidelines for scientific software.
Presented at: The 33rd International Conference on Program Comprehension (ICPC '25)
Date of Conference: April 2025
Conference Location: Ottawa, Ontario, Canada
Preprint: https://arxiv.org/abs/2501.10037
This presentation examines accessibility trends and challenges in mobile app development through an analysis of Stack Overflow questions. The researchers analyzed 3,022 questions over a 15-year period, focusing on three key areas: growth patterns, question characteristics, and development challenges. The study revealed that accessibility-related questions peaked in 2016 with 305 questions. Question engagement metrics showed strong community participation, with 73% of questions receiving answers and a median response time of 1.3 days. Through topic modeling and manual review, seven major challenge areas were identified that developers face: screen readers and navigation, UI elements and interactions, touch gestures, multilingual support, dynamic text handling, custom Android accessibility services, and testing/automation.
Presented at: The 58th Hawaii International Conference on System Sciences (HICSS '25)
Date of Conference: Jan 2025
Conference Location: Waikoloa, Hawaii, United States
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Unit_1(Software and Software Engineering).pptxtaxegap762
software enginneering introduction for better understanding brief intoduce software technology and related topics software enginneering introduction for better understanding brief intoduce software technology and related topics
The document discusses the origins and drivers of software engineering as a discipline. It arose in response to frequent software project failures in the late 1960s, termed the "software crisis". Key points:
- Software engineering aims to apply systematic and quantifiable principles to software development and maintenance to improve quality, productivity and job satisfaction.
- It draws on computer science, management science, economics and other fields. Processes and models help manage complex software projects.
- Early process models included waterfall and prototyping. Later agile models like spiral emphasize iterative development and risk management over rigid phases.
Here are the key characteristics of engineering:
1. Engineers proceed by making a series of decisions, carefully evaluating options and choosing appropriate approaches at each decision point based on tradeoff analysis of costs and benefits.
2. Engineers measure things quantitatively when appropriate, calibrate and validate measurements, and use approximations based on experience.
3. Engineers design things, whether physical systems, software systems, or business processes. Design involves establishing requirements, generating alternative solutions, evaluating alternatives, and choosing a solution.
4. Engineers build or construct things, whether physical prototypes or software systems. They integrate components and ensure everything works together as intended.
5. Engineers test things, whether by simulation, experimentation, or operational trials,
Soirée du Test Logiciel - Présentation de Kiuwan (Jack ABDO)TelecomValley
This document provides an overview of a company and its enterprise software analytics platform. The company was founded in 2008 and has headquarters in Orlando, Florida and Madrid, Spain. It has over 4000 users across 25 countries. The platform includes modules for code analysis, code security, architecture, life cycle management, and governance that help customers improve application quality, reduce risks and costs, and make better decisions about their software development.
Kelis King offer involve conducting system testing to ensure correct operation, and integration testing to ensure the system integrates correctly with other required systems, such as databases.
The document describes a course on software engineering taught by Dr. P. Visu at Velammal Engineering College. It includes the course objectives, outcomes, syllabus, and learning resources. The key objectives are to understand software processes, requirements engineering, object-oriented concepts, software design, testing, and project management techniques. The syllabus covers topics like software processes, requirements analysis, object-oriented concepts, software design, testing, and project management over 5 units. Recommended textbooks and online references are also provided.
Capability Building for Cyber Defense: Software Walk through and Screening Maven Logix
Dr. Fahim Arif who is the Director R&D at MCS, principal investigator and GHQ authorized consultant for Nexsource Pak (Pvt) Ltd) discussed the capability of building cyber defense in the Data Protection and Cyber Security event that was hosted recently by Maven Logix. In his session he gave the audience valuable information about the life cycle of a cyber-threat discussing what and how to take measures by performing formal code reviews, code inspections. He discussed essential elements of code review, paired programming and alternatives to treat and tackle cyber-threat
In this presentation, it will cover different software development methodologies. These include the common types of SDM, and the pros and cons.
A software development methodology involves several steps. These include planning, structuring, and performance tracking.
In some instances, it may also include extreme programming. The objective is to streamline the process when developing software or any product.
Almost all software development methodologies are non-technical. This means they do not deal with the technical aspects of software design and development. They focus more on the internal operations, and other processes involved in the project.
Take note that each has its specific features. Gauge your options, and choose the best one that suits your needs.
This document discusses software engineering. It begins by defining software as a set of instructions that take inputs and produce outputs as determined by the user. It then discusses the essential components of software including instructions, data structures, and documents.
It describes different types of software such as system software, real-time software, business software, scientific software, embedded software, AI software, personal computer software, and internet software. Good software is discussed in terms of attributes like maintainability, correctness, reusability, reliability, portability, and efficiency.
Finally, it defines software engineering as a systematic collection of practices for developing quality software in an efficient and cost-effective manner. The major roles of software engineering are to increase productivity
The document provides information about a course on software engineering taught by Dr. P. Visu at Velammal Engineering College. It includes the course objectives, outcomes, syllabus, textbooks and references. The objectives are to understand software project phases, requirements engineering, object-oriented concepts, enterprise integration and various testing and project management techniques. The outcomes cover comparing process models, formulating requirements engineering concepts, understanding object-oriented fundamentals, applying software design systematically, and evaluating project schedules and costs. The syllabus covers topics like software processes, requirements analysis, object-oriented concepts, software design, and testing and management over 5 units.
This document discusses software engineering and various aspects of software. It defines software engineering as an engineering discipline concerned with all aspects of software production. It describes different types of software applications, including system software, application software, embedded software, and web/mobile applications. It also discusses important software engineering activities like specification, development, validation, and evolution.
This document provides an overview of a software engineering course. It discusses key topics that will be covered in the course including software processes, agile development, requirements engineering, system modeling, architectural design, testing and evolution. It outlines the course objectives of providing an introduction to important software engineering concepts. It also discusses different types of software applications and the diversity of techniques used for different applications. Finally, it covers software engineering fundamentals that apply across all application types.
This document discusses the scope of software engineering. It begins by defining software and engineering. It then explains that software engineering aims to produce software that meets client needs, is fault-free, delivered on time and budget, and is easy to modify. It discusses why software engineering is needed due to past software failures. The document then covers various aspects of software engineering including historical, economic, and maintenance aspects. It also discusses common software engineering roles and development team members. Finally, it provides an overview of different software development lifecycle models.
This presentation explores code comprehension challenges in scientific programming based on a survey of 57 research scientists. It reveals that 57.9% of scientists have no formal training in writing readable code. Key findings highlight a "documentation paradox" where documentation is both the most common readability practice and the biggest challenge scientists face. The study identifies critical issues with naming conventions and code organization, noting that 100% of scientists agree readable code is essential for reproducible research. The research concludes with four key recommendations: expanding programming education for scientists, conducting targeted research on scientific code quality, developing specialized tools, and establishing clearer documentation guidelines for scientific software.
Presented at: The 33rd International Conference on Program Comprehension (ICPC '25)
Date of Conference: April 2025
Conference Location: Ottawa, Ontario, Canada
Preprint: https://arxiv.org/abs/2501.10037
This presentation examines accessibility trends and challenges in mobile app development through an analysis of Stack Overflow questions. The researchers analyzed 3,022 questions over a 15-year period, focusing on three key areas: growth patterns, question characteristics, and development challenges. The study revealed that accessibility-related questions peaked in 2016 with 305 questions. Question engagement metrics showed strong community participation, with 73% of questions receiving answers and a median response time of 1.3 days. Through topic modeling and manual review, seven major challenge areas were identified that developers face: screen readers and navigation, UI elements and interactions, touch gestures, multilingual support, dynamic text handling, custom Android accessibility services, and testing/automation.
Presented at: The 58th Hawaii International Conference on System Sciences (HICSS '25)
Date of Conference: Jan 2025
Conference Location: Waikoloa, Hawaii, United States
This presentation discusses how generative AI-powered code generation tools are impacting software engineer hiring practices. The researchers surveyed 32 industry professionals, primarily recruiters and hiring managers, at a Spring 2024 Career Fair to understand their experiences, perceptions, and strategies around evaluating candidates in an era of AI coding assistants. Key findings include that while ChatGPT is the most familiar AI tool among recruiters (60.87%), most organizations don't yet have formal policies about AI use in technical interviews. The study also found that recruiters value cognitive skills and prompt engineering abilities over just technical proficiency.
Presented at: The 58th Hawaii International Conference on System Sciences (HICSS '25)
Date of Conference: Jan 2025
Conference Location: Waikoloa, Hawaii, United States
This presentation investigates mobile app security trends and challenges by analyzing developer discussions on Stack Overflow. Examining over 5,700 security-related questions, the study reveals how developers approach security challenges in an ecosystem with 4+ million apps and $400+ billion in revenue. The research identifies seven major security categories including secured communications, database security, and encryption, while highlighting the evolution of security discussions over time. Through a combination of quantitative analysis, topic modeling, and manual review, the study provides actionable insights for developers, educators, and researchers, helping to improve mobile app security practices and address real-world challenges faced by the development community.
Presented at: The 58th Hawaii International Conference on System Sciences (HICSS '25)
Date of Conference: Jan 2025
Conference Location: Waikoloa, Hawaii, United States
This presentation explores the use and impact of assertion messages in software testing. The study, based on a survey of 138 software practitioners, investigates the frequency, rationale, construction, and maintenance of assertion messages in test code. Key findings reveal that while assertion messages are widely used, there are challenges in maintaining their clarity and relevance. The research provides insights into how assertion messages contribute to debugging processes and offers recommendations for improving test code practices and tools.
Presented at: The 40th International Conference on Software Maintenance and Evolution (ICSME '24)
Date of Conference: Oct 2024
Conference Location: Flagstaff, AZ, United States
Preprint: https://www.peruma.me/publication/2024-icsme-assert/2024-ICSME-ASSERT.pdf
This presentation examines mobile application security practices and challenges from a developer's perspective. Based on a survey of 137 mobile app developers from 22 countries, the study investigates real-world security implementation practices, common challenges, and the effectiveness of current educational resources. Key findings highlight the importance developers place on security, commonly implemented security features, and significant gaps in mobile app security education. The research provides valuable insights into the mobile app security landscape and offers recommendations for improving security practices and developer preparation in this rapidly evolving field.
Presented at: The 40th International Conference on Software Maintenance and Evolution (ICSME '24)
Date of Conference: Oct 2024
Conference Location: Flagstaff, AZ, United States
Preprint: https://www.peruma.me/publication/2024-icsme-security/2024-ICSME-SECURITY.pdf
Presented at: The 18th International Conference on Augmented Cognition (AC ‘24)
Date of Conference: July 2024
Conference Location: Washington, DC
The preprint is available at: https://arxiv.org/abs/2404.10194
Presented at: The 2nd International Workshop on Natural Language-based Software Engineering (NLBSE ‘23)
Date of Conference: May 2023
Conference Location: Virtual * Melbourne, Australia
The preprint is available at: https://arxiv.org/pdf/2303.01035
Presented at: The 6th International Workshop on Refactoring (IWoR 2022)
Date of Workshop: 14 October 2022
Conference Location: Oakland Center, Michigan, USA
This is a tutorial that was presented at: The 37th IEEE/ACM International Conference on Automated Software Engineering (ASE 2022)
Date of Conference: 10-14 October 2022
Conference Location: Oakland Center, Michigan, United States
Conference website: https://conf.researchr.org/track/ase-2022/ase-2022-tutorials#event-overview
Ph.D. Dissertation Presentation
B. Thomas Golisano College of Computing and Information Sciences
Rochester Institute of Technology
Date of presentation: June 28, 2022
Location: Virtual
Link to dissertation: https://scholarworks.rit.edu/theses/11219/
Searching and applying for a job can be one of the most exciting and stressful times for a student. As a Ph.D. candidate, you can either join the industry or academia as a faculty member. In this talk, I will provide a walkthrough on how to navigate the academic job market. As a recent faculty hire, I will share my experience and tips from searching for openings, document and interview preparation, to finally negotiating your package.
Presented at the "What's Next? Career Talk" session organized by RIT Doctoral Student Association
Date of Presentation: 01 September 2022
Location: Virtual
In-Person presentation at: The 19th International Conference on Mining Software Repositories (MSR '22)
Date of Conference: 24 May 2022
Conference Location: Pittsburgh, PA, USA
Preprint: https://www.peruma.me/publication/2022-msr-debt/2022-MSR-DEBT.pdf
This is a tutorial that was presented at: The 20th International Conference on Software and Systems Reuse (ICSR'22)
Date of Conference: 15-17 June 2022
Conference Location: Virtual
Conference website: https://icsr2022v2.wp.imt.fr/
This is a tutorial that was presented at: The 20th International Conference on Software and Systems Reuse (ICSR'22)
Date of Conference: 15-17 June 2022
Conference Location: Virtual
Conference website: https://icsr2022v2.wp.imt.fr/
Virtual presentation at: The 19th International Conference on Mining Software Repositories (MSR '22)
Date of Conference: May 2022
Conference Location: Virtual
Preprint: https://www.peruma.me/publication/2022-msr-debt/2022-MSR-DEBT.pdf
Presented at: The 1st International Workshop on Natural Language-based Software Engineering (NLBSE ‘22)
Date of Conference: May 2022
Conference Location: Virtual
The preprint is available at: https://www.peruma.me/publication/2022-nlbse-digits/2022-nlbse-digits.pdf
A video of the presentation is available at: https://youtu.be/ERD6GTFzOxY
Presented at: The 44th IEEE/ACM International Conference on Software Engineering (ICSE 2022)
Date of Conference: May 2022
Conference Location: Virtual & Pittsburgh, PA, USA
This paper was originally published in the Empirical Software Engineering journal
The preprint is available at: https://arxiv.org/pdf/2110.12229
A video of the presentation is available at: https://youtu.be/suWRL2nmxMs
This document describes IDEAL, an open-source tool for detecting naming violations in code. It can detect 19 types of naming violations like methods named "get" that do more than access a property. The tool analyzes Java and C# code and provides feedback on violations. In an evaluation on over 2,000 code instances from open-source projects, it achieved an average precision of 75.27% for detecting violations. The researchers believe IDEAL could help practitioners, researchers and educators by improving code comprehension through better identifier naming.
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Who Watches the Watchmen (SciFiDevCon 2025)Allon Mureinik
Tests, especially unit tests, are the developers’ superheroes. They allow us to mess around with our code and keep us safe.
We often trust them with the safety of our codebase, but how do we know that we should? How do we know that this trust is well-deserved?
Enter mutation testing – by intentionally injecting harmful mutations into our code and seeing if they are caught by the tests, we can evaluate the quality of the safety net they provide. By watching the watchmen, we can make sure our tests really protect us, and we aren’t just green-washing our IDEs to a false sense of security.
Talk from SciFiDevCon 2025
https://www.scifidevcon.com/courses/2025-scifidevcon/contents/680efa43ae4f5
Join Ajay Sarpal and Miray Vu to learn about key Marketo Engage enhancements. Discover improved in-app Salesforce CRM connector statistics for easy monitoring of sync health and throughput. Explore new Salesforce CRM Synch Dashboards providing up-to-date insights into weekly activity usage, thresholds, and limits with drill-down capabilities. Learn about proactive notifications for both Salesforce CRM sync and product usage overages. Get an update on improved Salesforce CRM synch scale and reliability coming in Q2 2025.
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Improved Salesforce CRM User Experience: Learn how self-service visibility enhances satisfaction.
Utilize Salesforce CRM Synch Dashboards: Explore real-time weekly activity data.
Monitor Performance Against Limits: See threshold limits for each product level.
Get Usage Over-Limit Alerts: Receive notifications for exceeding thresholds.
Learn About Improved Salesforce CRM Scale: Understand upcoming cloud-based incremental sync.
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.
Email: [email protected]
Phone: +1(630) 349 2411
Website: https://www.fexle.com/blogs/agentexchange-an-ultimate-guide-for-salesforce-consultants-businesses/?utm_source=slideshare&utm_medium=pptNg
Why Orangescrum Is a Game Changer for Construction Companies in 2025Orangescrum
Orangescrum revolutionizes construction project management in 2025 with real-time collaboration, resource planning, task tracking, and workflow automation, boosting efficiency, transparency, and on-time project delivery.
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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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Pixologic ZBrush, now developed by Maxon, is a premier digital sculpting and painting software renowned for its ability to create highly detailed 3D models. Utilizing a unique "pixol" technology, ZBrush stores depth, lighting, and material information for each point on the screen, allowing artists to sculpt and paint with remarkable precision .
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Maxon Cinema 4D 2025 is the latest version of the Maxon's 3D software, released in September 2024, and it builds upon previous versions with new tools for procedural modeling and animation, as well as enhancements to particle, Pyro, and rigid body simulations. CG Channel also mentions that Cinema 4D 2025.2, released in April 2025, focuses on spline tools and unified simulation enhancements.
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Procedural Animation: Field Driver tag for procedural animation.
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Spline Tools: Enhanced spline tools for motion graphics and animation, including spline modifiers from Rocket Lasso now included for all subscribers.
Unified Simulation & Particles: Refined physics-based effects and improved particle systems.
Boolean System: Modernized boolean system for precise 3D modeling.
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In essence, Cinema 4D 2025 is a major update that provides artists with more powerful tools and workflows for creating 3D content, particularly in the fields of motion graphics, VFX, and visualization.
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An Exploratory Study on the Occurrence of Self-Admitted Technical Debt in Android Apps
1. An Exploratory Study on the Occurrence of
Self-Admitted Technical Debt in Android Apps
Gregory Wilder II, Riley Miyamoto, Samuel Watson, Rick Kazman, Anthony Peruma
2. Overview
We explore the occurrence and characteristics
of self-admitted technical debt in 15,614 open-
source Android apps
3. Introduction
• The popularity of mobile devices has led to the development of
numerous Android apps
• Over 2 million as of September 2022 on Google Play
• Like non-mobile systems, mobile apps are also subject to poor code
quality
• Poor code quality can result from lack of documentation, partial or missing
functionality, lack of testing, and even workarounds
• Technical debt is the phenomenon of developers knowingly
compromising code and design quality in favor of meeting project
deadlines/milestones
• Which can result in increased maintenance costs and an increased risk of project
failure
4. Self-Admitted Technical Debt (SATD)
• SATD refers to instances where developers consciously
acknowledge the presence of technical debt in their system
through documentation
• Prior research has used SATD to study implementation
compromises in open-source and industrial software across
various domains and programming languages
• There is a lack of research on its occurrence in mobile apps,
specifically Android apps
• Mobile apps have unique constraints such as being highly user-
centric, supporting various portable devices, and being limited in
size, functionality, security, and resource/energy consumption.
5. Example of mobile specific tech debt
Workaround to turn off
the camera flash for
different mobile devices
(i.e., Samsung Galaxy
and Samsung Behold II).
6. Related Work on Android TechDebt
• Approaches are proposed to identify and measure technical
debt:
• identifying architectural debt through a reference architecture
• identifying energy debt through code smells
• identifying accessibility debt through developer interviews
• Refactoring based tools:
• addressing technical debt related to state feature flags
• SonarQube-based tool to detect energy debt
• Empirical study showing that mobile code smells represent
inadvertent technical debt (i.e., debt introduced by oversight
than strategically)
7. Goal & Impact
Discover the extent to which Android
apps incur SATD and form a high-level
understanding of the types and causes
of these sub-optimal implementations
Facilitate helping app developers in
understanding and planning for areas in their
apps that are prone to incurring debt; support
the development of tools and techniques
8. Research Questions
• RQ1: To what extent do open-source Android app developers
document technical debt in the code?
• Understand the volume of SATD typically contained in Android apps
• RQ2: What are the specific types of self-admitted technical debt
occurring in open-source Android apps?
• Categorize the discovered SATD into one of seven predefined categories
• RQ3: What code elements in Android apps are susceptible to
technical debt?
• Provides insight into areas of concern that Android app developers can
focus on during the implementation and maintenance of apps
9. Contributions
A publicly available dataset of
SATD comments in Android apps
for replication or extension studies
An understanding of technical debt
in Android apps and a discussion
on avenues for future research
10. Experiment Design
Source Dataset: Used in prior research studies; we cloned 37,342 Android app project repositories
Parse & Analyze Source Files:
• 1,386,942 Java files detected; each project contains a median of 10 Java files
• Using an AST, we detected 14,383,880 comments; only 35,982 projects contained comments
• Utilized SATD Detector Core to detect SATD-related comments; used in prior research studies
• Utilize cloc to count lines of code
RQ Analysis
• Quantitative and qualitative data analysis
• N-Gram generation and analysis of SATD comments
12. RQ 1: To what extent do open-source Android app
developers document technical debt in the code?
• Our dataset contains 451,499 SATD-related comments
• Most apps (about 67%) have between 1 to 5 SATD comments, with a
median of 2 SATD files per app
• SATD contribute to, on average, 5.97% of an app’s comments
• Files with SATD have a significantly higher median number of lines of
code compared to files without SATD
13. RQ 2: What are the specific types of self-admitted
technical debt occurring in open-source Android apps?
• Grouping SATD comments into seven predefined tech debt categories
(Code, Design, Requirement, Defect, Documentation, Test, Unclassifiable)
• Manually reviewed and annotated a random, statistically significant sample of 386
SATD comments (95% confidence level and a 5% confidence interval)
• Code - documentation of workarounds implemented
by developers to achieve a specific goal
• Workarounds to fix a bug:
• “Also workaround for bug on Nexus 6...”
• Need to update identifiers:
• “TODO: Rename parameter arguments…”
• “TODO: Use strings for id’s too”
14. RQ 2: Cont.…
• Design - shortcomings in the app's
structure or design (e.g., move code,
apply object-oriented principles such
as encapsulation and abstraction)
• “TODO move this out to its own class”
• “That’s a larger refactoring we’ll save for another
day”)
• “TODO:CentralSurfaces should be encapsulated
behind a Controller”
• Requirement - documentation of
functionality that is not yet
implemented or incomplete
• Business logic: ‘‘TODO Add more comparision
later”
• Handle other versions of the operating system:
“TODO: We’ll have that on Android 2.2”
• Defect - documentation of known
defects (functional, non-functional &
generic defects)
• “too high, fix height”
• “FIXME, this is wrong”
• Documentation - comments as
reminders to explain the behavior of
code in the future
• “TODO: document”
• Test - documenting the need to
create/run tests for the implemented
functionality
• “TODO: Work on the test tmr”
• Unclassifiable - incomplete or vague
• “TODO it’s bad”
15. RQ 3: What code elements in Android apps are
susceptible to technical debt?
Manual examination of top 50 unigrams, bigrams, and trigrams
Group related n-grams into categories -- Four high-level categories— Android SDK API, General UI, General
Programming, and Hardware.
• Android SDK API - documenting sub-optimal code related to using Android-
specific features, such as UI-related APIs/components and non-UI-specific APIs
• Android UI API - we encounter terms such as ‘Activity’, ‘View’, ‘Fragment’, ‘Listener’,
‘ActionBar’,and ‘BoundingBox’
• “TODO:use dialog fragment”
• “TODO Add a View to the layout with awidth of match parent and a height of 1dp”
• Android non-UI API – frequent terms include ‘Context’, ‘Loader’, ‘Content-Provider’, and
‘AndroidManifest’, ‘deprecated api’ and ‘api level’
• “TODO: Set up a content provider interface…”
• “TODO: use API level 24 or above to correct this”
• General UI - implementing new or missing functionality related to the apps’ user
interface (e.g., color, margin, position, button, etc.)
• “TODO: Add support for border color and types”
16. RQ 3: Cont.…
• General Programming – we encounter terms related to general
programming concepts or activities
• refactoring, date/time, storage, security, error handling, external
resources
• “TODO: Rename and change types and number of parameters”
• “TODO: database operations should be done on separate thread”
• “TODO: what if this throws an exception?”
• Hardware - code workarounds that integrates with specific
mobile device components (e.g., camera) or support specific
devices
• “TODO : add usb device attached intent”
18. Overall Findings
Android app developers make sub-optimal decisions when building their apps
(similar to non-mobile system developers)
• The occurrence of SATD comments in Android apps is comparatively low
• Android: 5.97% of comments are SATD; Non-mobile: 15% - 22% of comments are SATD
• The smaller size of Android apps and the fact that they are often developed by small teams
may contribute to the lower occurrence of SATD comments.
• Similar to non-mobile systems, mobile apps are more prone to code debt
• Low occurrence of requirements debt might be due to apps having limited functionality than non-mobile systems
• Low test debt can be an indicator of insufficient test cases
• The Android UI specific features (e.g., Activities, Fragments, and Listeners) associated with
SATD are known to be associated with presentation layer code smells
• Security related SATD associated with permissions and data leakage also align with prior work
19. Key Takeaways
• Integration of technical debt detection tools into the developer workflow
• Educate developers about the availability of detection tools
• Developers can integrate these tools into their build process to receive notifications when code is
committed
• Opportunity for IDE vendors and plugin developers
• Expand research into mobile technical debt
• This study found specific Android APIs that are usually associated with technical debt, which can
help the community build or enhance code quality tools to support mobile app developers
• Opportunity to conduct similar studies on iOS apps
• Expand techniques and tools to refactor mobile app technical debt
• Opportunity to develop refactoring operations geared towards mobile app code, particularly
UI/presentation layer code
• Complement tool use with code reviews
• The review process can catch instances of poorly composed SATD comments, such as vague or
incomplete comments
20. Conclusion & Future Work
• Mobile apps are subject to poor programming practices, similar to non-
mobile systems
• The ease of app development does not necessarily mean high-quality and
maintenance friendly apps
• We conducted a large-scale empirical study on open-source Android apps
• Android apps are not exempt from technical debt, but the volume of SADT they
exhibit is lower than non-mobile systems
• Most debt falls under the Code debt category, of which most are implementation of
workarounds
• We identified shortcomings developers take when implementing code that utilizes
Android APIs
• Future work: examining the repayment and survival of SADT in Android
apps, by analyzing the version history of source files