The PAC aims to promote engagement between various experts from around the world, to create relevant, value-added content sharing between members. For Neotys, to strengthen our position as a thought leader in load & performance testing.
Since its beginning, the PAC is designed to connect performance experts during a single event. In June, during 24 hours, 20 participants convened exploring several topics on the minds of today’s performance tester such as DevOps, Shift Left/Right, Test Automation, Blockchain and Artificial Intelligence.
This document provides an overview of performance testing. It defines performance testing and how it differs from other types of testing. It then describes various types of performance tests like end-to-end testing, component testing, load testing, and mobile testing. It also discusses performance test assets, the test process, tool selection, best practices, and recommended resources. The overall purpose is to introduce the topic of performance testing and provide guidance on how to approach it.
QualiTest provides load and performance testing services to determine a system's behavior under normal and peak load conditions. Their testing process identifies maximum operating capacity and elements that cause degradation. They ensure applications can handle predicted traffic volumes. QualiTest uses various load testing tools and methodologies to simulate real-world usage and stress test systems. Their testing delivers reports on defects, tool evaluations, and ongoing support for quality improvement.
This document discusses best practices for performance testing in Agile and DevOps environments. It recommends implementing early and continuous performance testing as part of CI/CD pipelines using tools like JMeter and WebPageTest. Additionally, it stresses the importance of system-level performance tests during targeted sprints and prior to production deployments. The use of application performance management tools to monitor tests and production is also highlighted to facilitate quick feedback loops and issue resolution.
Build Your Custom Performance Testing FrameworkTechWell
Performance testing requires knowledge of systems architecture, techniques to simulate the load equivalent of sometimes millions of transactions per day, and tools to monitor/report runtime statistics. With the evolution from desktop to web and now the cloud, performance testing involves an unparalleled combination of different workloads and technologies. There is no one tool available—either commercial or open source—that meets all performance testing needs. Some tools act as load generators; others only monitor system resources; and many only operate for specific applications or environments. Prashant Suri shares the essential components you need for a comprehensive performance test framework and explores why each component is required for a holistic test. Learn how to develop your custom framework―starting with parsing test scripts in a predefined format, iterating over test data, employing distributed load generators, and integrating test monitors into the framework. Discover how building your own framework gives you flexibility to challenge multiple performance problems—and save thousands of dollars along the way.
The document discusses performance testing, including its goals, importance, types, prerequisites, management approaches, testing cycle, activities, common issues, typical fixes, challenges, and best practices. The key types of performance testing are load, stress, soak/endurance, volume/spike, scalability, and configuration testing. Performance testing aims to assess production readiness, compare platforms/configurations, evaluate against criteria, and discover poor performance. It is important for meeting user expectations and avoiding lost revenue.
The document summarizes a training session on performance testing using LoadRunner. It discusses planning load tests, the components of LoadRunner, creating scripts and scenarios, and enhancing scripts. Key points covered include the purpose of different types of tests, goals for performance testing, the workflow of a load test using LoadRunner, and developing scripts using Virtual User Generator.
This document discusses performance testing and provides information on several related topics:
- It defines performance, load, and stress testing and explains their differences.
- It outlines why performance testing is important, when it should be conducted, and what aspects of a system should be tested.
- The performance testing process is described as involving planning, creating test scenarios and scripts, running tests, monitoring tests, and analyzing results.
- Automated performance testing is presented as more effective than manual testing due to issues with resources, coordination, and repeatability when using human testers.
Performance issues are regularly caught too late leading to increased cost for fixing. We propose a process on how to make performance testing lightweight, execute it on early stages, reduce time and cost of fixes. Applying the same principal that we use for functional testing, performance testing could be integrated in CI/CD pipeline. Learn more about CPT in our blog: https://blog.griddynamics.com/what-is-continuous-performance-testing-and-why-it-is-needed
Our Performance Testing Center of Excellence analyzes our client’s performance requirements, defines performance test strategies, roadmap and metrics, assesses reports and provides recommendations. Our testing team has in-depth expertise across various open-source and commercial performance testing tools.
Tips to achieve continuous integration/delivery using HP ALM, Jenkins, and S...Skytap Cloud
To gain a competitive advantage in today's hyper competitive markets, businesses must constantly strive to develop, test, and release better software faster. This is made possible by means of continuously integrating, testing, and delivering new applications.
In this webinar, Skytap and Orasi will share tips to improve software quality and velocity with the automated creation and management of on-demand, scalable test environments. It will focus on best practices for continuous integration through the joint use of HP Application Lifecycle Management (ALM), Jenkins and Skytap.
Specifically you learn how to:
-Integrate Jenkins with HP ALM
-Extend Dev/Test workloads to the cloud
-Integrate build automation with automated test management
Test Management Tool HP ALM- Quality Center Part 1Murageppa-QA
In this Quality Assurance Training session, you will learn about HP ALM Quality Center. Topic covered in this session are:
• Introduction to HP Quality Center.
• Release Management Module.
• Test Plan Module.
• Test Lab Module.
• Defect Management Module.
• Reports Module.
For more information, about this quality assurance training, visit this link: https://www.mindsmapped.com/courses/quality-assurance/software-testing-training-with-hands-on-project-on-e-commerce-application/
Load testing involves systematically stressing a system or application to determine its behavior and stability under different load conditions. There are different types of load tests that can be run depending on the test goals. It is important to measure key metrics like response times, failures, and system resource usage during a load test to understand the system's performance limits and how it degrades as load increases. Load test results should indicate the maximum number of users the system can support while meeting performance requirements as well as insights into how the system will perform as usage grows over time.
The document provides an introduction and overview of performance testing. It discusses what performance testing, tuning, and engineering are and why they are important. It outlines the typical performance test cycle and common types of performance tests. Finally, it discusses some myths about performance testing and gives an overview of common performance testing tools and architectures.
The PAC aims to promote engagement between various experts from around the world, to create relevant, value-added content sharing between members. For Neotys, to strengthen our position as a thought leader in load & performance testing.
Since its beginning, the PAC is designed to connect performance experts during a single event. In June, during 24 hours, 20 participants convened exploring several topics on the minds of today’s performance tester such as DevOps, Shift Left/Right, Test Automation, Blockchain and Artificial Intelligence.
This document provides an overview of performance and load testing basics. It defines key terms like throughput, response time, and tuning. It explains the difference between performance, load, and stress testing. Performance testing is done to evaluate system speed, throughput, and utilization in comparison to other versions or products. Load testing exercises the system under heavy loads to identify problems, while stress testing tries to break the system. Performance testing should occur during design, development, and deployment phases to ensure system meets expectations under load. Key transactions like high frequency, mission critical, read, and update transactions should be tested. The testing process involves planning, recording test scripts, modifying scripts, executing tests, monitoring tests, and analyzing results.
Performance Testing Using VS 2010 - Part 1Mohamed Tarek
This document provides an overview and agenda for a training on performance testing using Visual Studio 2010. It discusses why functional testing is not enough and introduces performance, load, and stress testing. It covers the performance testing process in Visual Studio, including creating web, load, and ordered tests. It also addresses measuring system performance, applying load, and analyzing test results. Key points about testing methodology and best practices are provided.
Performance testing validates an application's responsiveness, stability, and other quality attributes under various workloads. It involves load testing, stress testing, endurance testing, spike testing, volume testing, availability testing, and scalability testing. The key parameters analyzed are response time, throughput, and memory utilization. Performance testing helps determine an application's speed, scalability, stability, and ability to handle changes in load and traffic over time.
Infographic: Importance of Performance TestingKiwiQA
Performance testing help to establish the scalability, speed, and stability of apps. It includes numerous testing types that simulate user scenarios and analyze app performance.
To learn more about performance testing, visit: https://www.kiwiqa.com/load-performance-testing.html
#speakgeek - Pragmatic Batch Process Management & Developer TestingDerek Chan
Sharing our practices in managing batch processes at scale and the tools used for rapid building and execution of unit tests and end-to-end testing
Speakers: Jecelyn, David Hong
Cross Browser Testing: El reto de la eficienciaSoftware Guru
Descubra la eficiencia de los métodos ágiles de pruebas para validar la funcionalidad de sus aplicaciones basadas en web.
Los participantes podrán solicitar demostraciones personalizadas, evaluaciones y/o información adicional para utilizar SilkCentral Connect, SilkTest y SilkCentral.
SilkCentral Connect es una solución ágil para las pruebas y validación funcional de aplicaciones basadas en web multinavegador que permite comprobar rápidamente si los nuevos componentes o cambios han afectado al aplicativo para uno o varios navegadores ya sea en equipos de escritorio o en dispositivos móviles. A partir de los primeros resultados obtenidos en SilkCentral Connect será posible profundizar en la automatización detallada de aquellos componentes que puedan haber sufrido impacto con el uso de Silk4Java.
Why average response time is not a right measure of your webapplication's per...Thoughtworks
This document discusses the limitations of using average response time to measure web application performance and introduces Apdex as a better metric. It explains that average response time can hide outliers, does not indicate the number of users affected by slow responses, and can give misleading impressions when a small number of requests experience long response times. The document provides examples to illustrate these limitations and shows how Apdex addresses them by accounting for satisfied, tolerating, and unacceptable response times to give a more accurate picture of user experience. It promotes using Apdex instead of average response time to correctly evaluate performance and identify issues impacting users.
Capacity Planning for Virtualized Datacenters - Sun Network 2003Adrian Cockcroft
Presentation I made at the Sun Network conference in 2003 on how to do capacity planning for virtualized systems, tied into the N1 product that Sun was pushing at the time. This project was structured as a design for six sigma (DFSS) project.
The document discusses various types of test tools used at different stages of testing. It describes tools for test management, requirements management, incident management, configuration management, static testing, static analysis, modeling, test design, test data preparation, test execution, test harness, test comparators, coverage measurement, security testing, dynamic analysis, performance testing, load testing, stress testing, monitoring and thanks the reader. The tools support activities like scheduling tests, tracking bugs, reviewing code, generating test data, automating test execution, measuring code coverage and monitoring system performance.
Not long ago, testing Ajax components meant play-testing a page by hand. Today, there are a growing number of tools we can use to simplify and automate Ajax testing.
In this session we will cover when to test, what to test and how to test Ajax components. You learn how to create automatic tests with various tools, including YUI Test, and OpenQA Selenium, and how to use Ajax testing tools with IDEs and Continuous Integration systems.
In this session, you will learn:
* When, where and how to test Ajax components;
* How to create automatic tests with various tools;
* How to use Ajax testing tools with IDEs and Continuous Integration systems.
Software testing tools (free and open source)Wael Mansour
This document discusses various tools used for test automation including Cobertura, Selenium, JMeter, Bugzilla, and Testia Tarantula. Cobertura is a code coverage tool that calculates test coverage percentages. Selenium is described as a tool for automating web application testing across browsers. JMeter is introduced as a load testing tool focused on analyzing performance of web applications. Bugzilla and Tarantula are mentioned as tools for bug tracking and project/test management respectively in agile software development. The document also discusses integrating these various tools together for a complete test automation framework.
A level PE Info processing, memory and reaction timeKerry Harrison
This document provides information about human information processing as it relates to physical education. It discusses how information is transmitted through the nervous system and different models that can be used to analyze sports performance. It also covers the use of short-term and long-term memory as well as different memory stores. Various strategies to improve memory retention and retrieval are outlined. Reaction time, movement time, and response time are defined and examples are given. Factors that can influence reaction time like the number of stimuli and types of reaction time are also described.
Performance issues are regularly caught too late leading to increased cost for fixing. We propose a process on how to make performance testing lightweight, execute it on early stages, reduce time and cost of fixes. Applying the same principal that we use for functional testing, performance testing could be integrated in CI/CD pipeline. Learn more about CPT in our blog: https://blog.griddynamics.com/what-is-continuous-performance-testing-and-why-it-is-needed
Our Performance Testing Center of Excellence analyzes our client’s performance requirements, defines performance test strategies, roadmap and metrics, assesses reports and provides recommendations. Our testing team has in-depth expertise across various open-source and commercial performance testing tools.
Tips to achieve continuous integration/delivery using HP ALM, Jenkins, and S...Skytap Cloud
To gain a competitive advantage in today's hyper competitive markets, businesses must constantly strive to develop, test, and release better software faster. This is made possible by means of continuously integrating, testing, and delivering new applications.
In this webinar, Skytap and Orasi will share tips to improve software quality and velocity with the automated creation and management of on-demand, scalable test environments. It will focus on best practices for continuous integration through the joint use of HP Application Lifecycle Management (ALM), Jenkins and Skytap.
Specifically you learn how to:
-Integrate Jenkins with HP ALM
-Extend Dev/Test workloads to the cloud
-Integrate build automation with automated test management
Test Management Tool HP ALM- Quality Center Part 1Murageppa-QA
In this Quality Assurance Training session, you will learn about HP ALM Quality Center. Topic covered in this session are:
• Introduction to HP Quality Center.
• Release Management Module.
• Test Plan Module.
• Test Lab Module.
• Defect Management Module.
• Reports Module.
For more information, about this quality assurance training, visit this link: https://www.mindsmapped.com/courses/quality-assurance/software-testing-training-with-hands-on-project-on-e-commerce-application/
Load testing involves systematically stressing a system or application to determine its behavior and stability under different load conditions. There are different types of load tests that can be run depending on the test goals. It is important to measure key metrics like response times, failures, and system resource usage during a load test to understand the system's performance limits and how it degrades as load increases. Load test results should indicate the maximum number of users the system can support while meeting performance requirements as well as insights into how the system will perform as usage grows over time.
The document provides an introduction and overview of performance testing. It discusses what performance testing, tuning, and engineering are and why they are important. It outlines the typical performance test cycle and common types of performance tests. Finally, it discusses some myths about performance testing and gives an overview of common performance testing tools and architectures.
The PAC aims to promote engagement between various experts from around the world, to create relevant, value-added content sharing between members. For Neotys, to strengthen our position as a thought leader in load & performance testing.
Since its beginning, the PAC is designed to connect performance experts during a single event. In June, during 24 hours, 20 participants convened exploring several topics on the minds of today’s performance tester such as DevOps, Shift Left/Right, Test Automation, Blockchain and Artificial Intelligence.
This document provides an overview of performance and load testing basics. It defines key terms like throughput, response time, and tuning. It explains the difference between performance, load, and stress testing. Performance testing is done to evaluate system speed, throughput, and utilization in comparison to other versions or products. Load testing exercises the system under heavy loads to identify problems, while stress testing tries to break the system. Performance testing should occur during design, development, and deployment phases to ensure system meets expectations under load. Key transactions like high frequency, mission critical, read, and update transactions should be tested. The testing process involves planning, recording test scripts, modifying scripts, executing tests, monitoring tests, and analyzing results.
Performance Testing Using VS 2010 - Part 1Mohamed Tarek
This document provides an overview and agenda for a training on performance testing using Visual Studio 2010. It discusses why functional testing is not enough and introduces performance, load, and stress testing. It covers the performance testing process in Visual Studio, including creating web, load, and ordered tests. It also addresses measuring system performance, applying load, and analyzing test results. Key points about testing methodology and best practices are provided.
Performance testing validates an application's responsiveness, stability, and other quality attributes under various workloads. It involves load testing, stress testing, endurance testing, spike testing, volume testing, availability testing, and scalability testing. The key parameters analyzed are response time, throughput, and memory utilization. Performance testing helps determine an application's speed, scalability, stability, and ability to handle changes in load and traffic over time.
Infographic: Importance of Performance TestingKiwiQA
Performance testing help to establish the scalability, speed, and stability of apps. It includes numerous testing types that simulate user scenarios and analyze app performance.
To learn more about performance testing, visit: https://www.kiwiqa.com/load-performance-testing.html
#speakgeek - Pragmatic Batch Process Management & Developer TestingDerek Chan
Sharing our practices in managing batch processes at scale and the tools used for rapid building and execution of unit tests and end-to-end testing
Speakers: Jecelyn, David Hong
Cross Browser Testing: El reto de la eficienciaSoftware Guru
Descubra la eficiencia de los métodos ágiles de pruebas para validar la funcionalidad de sus aplicaciones basadas en web.
Los participantes podrán solicitar demostraciones personalizadas, evaluaciones y/o información adicional para utilizar SilkCentral Connect, SilkTest y SilkCentral.
SilkCentral Connect es una solución ágil para las pruebas y validación funcional de aplicaciones basadas en web multinavegador que permite comprobar rápidamente si los nuevos componentes o cambios han afectado al aplicativo para uno o varios navegadores ya sea en equipos de escritorio o en dispositivos móviles. A partir de los primeros resultados obtenidos en SilkCentral Connect será posible profundizar en la automatización detallada de aquellos componentes que puedan haber sufrido impacto con el uso de Silk4Java.
Why average response time is not a right measure of your webapplication's per...Thoughtworks
This document discusses the limitations of using average response time to measure web application performance and introduces Apdex as a better metric. It explains that average response time can hide outliers, does not indicate the number of users affected by slow responses, and can give misleading impressions when a small number of requests experience long response times. The document provides examples to illustrate these limitations and shows how Apdex addresses them by accounting for satisfied, tolerating, and unacceptable response times to give a more accurate picture of user experience. It promotes using Apdex instead of average response time to correctly evaluate performance and identify issues impacting users.
Capacity Planning for Virtualized Datacenters - Sun Network 2003Adrian Cockcroft
Presentation I made at the Sun Network conference in 2003 on how to do capacity planning for virtualized systems, tied into the N1 product that Sun was pushing at the time. This project was structured as a design for six sigma (DFSS) project.
The document discusses various types of test tools used at different stages of testing. It describes tools for test management, requirements management, incident management, configuration management, static testing, static analysis, modeling, test design, test data preparation, test execution, test harness, test comparators, coverage measurement, security testing, dynamic analysis, performance testing, load testing, stress testing, monitoring and thanks the reader. The tools support activities like scheduling tests, tracking bugs, reviewing code, generating test data, automating test execution, measuring code coverage and monitoring system performance.
Not long ago, testing Ajax components meant play-testing a page by hand. Today, there are a growing number of tools we can use to simplify and automate Ajax testing.
In this session we will cover when to test, what to test and how to test Ajax components. You learn how to create automatic tests with various tools, including YUI Test, and OpenQA Selenium, and how to use Ajax testing tools with IDEs and Continuous Integration systems.
In this session, you will learn:
* When, where and how to test Ajax components;
* How to create automatic tests with various tools;
* How to use Ajax testing tools with IDEs and Continuous Integration systems.
Software testing tools (free and open source)Wael Mansour
This document discusses various tools used for test automation including Cobertura, Selenium, JMeter, Bugzilla, and Testia Tarantula. Cobertura is a code coverage tool that calculates test coverage percentages. Selenium is described as a tool for automating web application testing across browsers. JMeter is introduced as a load testing tool focused on analyzing performance of web applications. Bugzilla and Tarantula are mentioned as tools for bug tracking and project/test management respectively in agile software development. The document also discusses integrating these various tools together for a complete test automation framework.
A level PE Info processing, memory and reaction timeKerry Harrison
This document provides information about human information processing as it relates to physical education. It discusses how information is transmitted through the nervous system and different models that can be used to analyze sports performance. It also covers the use of short-term and long-term memory as well as different memory stores. Various strategies to improve memory retention and retrieval are outlined. Reaction time, movement time, and response time are defined and examples are given. Factors that can influence reaction time like the number of stimuli and types of reaction time are also described.
This document discusses factors that influence distribution network design, including customer needs, costs, and various design options. Distribution directly impacts costs and customer experience. The number of facilities in a network affects response time, inventory levels, transportation and facility costs. Design options include direct shipping from manufacturers, distributor warehouses, retail stores, and mixed approaches. E-business is changing distribution's impact on customer service and costs. The type of network chosen has long-term consequences for the supply chain.
The document introduces various agile test tools. It begins by explaining how agile methodologies like Scrum differ from traditional development in requiring testing throughout the process. It then defines terms like test-driven development, acceptance testing, and behavior-driven development. The bulk of the document describes test tools in two categories: those that describe requirements and tests using domain-specific languages, and those for executing tests. Tools covered include RSpec, FIT, FitNesse, Cucumber, Robot Framework, Selenium, and others. Advantages of agile test tools are discussed, along with challenges to adopting new tools and techniques. Links and books for further resources are provided at the end.
Faced with two critical goals and low resources, the Kuali Student Test Team developed and implemented a test automation framework based on an open source tool ? Tsung and Amazon?s Elastic Compute Cloud (EC2). This automation framework netted success right away as it allowed the team to identify and regress critical performance issues through out development.
Kuali developers and test engineers, and technical staff from implementing institutions will learn how industry best practices for performance testing were applied to Kuali Student and will walk away with guidance on how to setup and run an open source performance testing tool to support their needs (live demonstration included).
Paper presented during International Conference on Computer and Information Science 2012 (ICCIS2012) as part of World Engineering, Science and Technology Congress 2012 (ESTCON2012)
- Sachin Kumar has over 9.5 years of experience in performance testing using tools like HP Load Runner, HP Performance Center, and Borland Silk Performer.
- He has expertise in service virtualization, automation, and performance testing with CA Technologies' CA LISA and has led performance engineering teams.
- His experience includes all phases of the software development life cycle like analysis, design, development, testing, implementation, and support.
These slides is from a session about load testing. It starts with an introduction to non-functional testing then demonstrating the phases and criteria of load testing with K6.
Best Practices In Load And Stress Testing Cmg Seminar[1]Munirathnam Naidu
The document discusses best practices for performance testing. It provides an overview of the typical performance testing process, including defining goals, planning tests, scripting tests, executing tests, analyzing results, and delivering findings. It also discusses considerations for choosing testing tools and resources as well as common pitfalls to avoid, such as not testing, poor planning, relying on customers to find issues, using the wrong tools, and failing to properly isolate variables.
In this session you will learn:
Software Testing Tool – Overview
Advantage- Automation
Disadvantage - Automation
Grouping of Automation Tool
Functional Tool
Source Code Testing Tool
Performance Tool
Test Management Tool
Security Testing Tool
For more information: https://www.mindsmapped.com/courses/quality-assurance/qa-software-testing-training-for-beginners/
This document discusses using microservices for testing and provides examples of potential test-related microservices. It describes decomposing test activities like planning, implementation, automation, execution, triage, and reporting into discrete microservices. Examples of microservices are provided for various test activities like the Core Analytics Service, Test Generation Service, BenchEngine, Results Analytics Service, and Results Comparison Service. The document argues that a microservices approach can help share functionality across products and simplify testing processes.
Incorporating Performance Testing in Agile Development ProcessMichael Vax
This presentations explains different aspects of software performance testing and give actionable recommendations on how to integrate it into the Agile Software development process
The document provides an overview of performance testing, including:
- Defining performance testing and comparing it to functional testing
- Explaining why performance testing is critical to evaluate a system's scalability, stability, and ability to meet user expectations
- Describing common types of performance testing like load, stress, scalability, and endurance testing
- Identifying key performance metrics and factors that affect software performance
- Outlining the performance testing process from planning to scripting, testing, and result analysis
- Introducing common performance testing tools and methodologies
- Providing examples of performance test scenarios and best practices for performance testing
In this Quality Assurance Training session, you will learn about Automation Tools Overview. Topic covered in this session are:
• SQL Basic Operators and Function
• Software Testing Tool – Overview
• Advantage- Automation
• Disadvantage - Automation
• Grouping of Automation Tool
• Functional Tool
• Source Code Testing Tool
• Performance Tool
• Test Management Tool
• Security Testing Tool
For more information, about this quality assurance training, visit this link: https://www.mindsmapped.com/courses/quality-assurance/software-testing-training-with-hands-on-project-on-e-commerce-application/
Syed Musharraf Ali Zaidi is seeking a quality assurance position that provides learning and advancement opportunities. He has over 9 years of experience in application testing in both functional and non-functional domains. His skills include testing life cycles, various technologies like J2EE and .NET, performance testing tools like LoadRunner and Neoload, and test management tools like HP Quality Center. He has worked on projects across various industries testing applications, systems, and services.
How To Transform the Manual Testing Process to Incorporate Test AutomationRanorex
Although most testing organizations have some automation, it's usually a subset of their overall testing efforts. Typically the processes have been previously defined, and the automation team must adapt accordingly. The major issue is that test automation work and deliverables do not always fit into a defined manual testing process.
Learn how to transform your manual testing procedures and how to incorporate test automation into your overall testing process.
QA Team Goes to Agile and Continuous integrationSujit Ghosh
The document discusses how the QA team has transitioned to using agile and continuous integration methodologies to improve testing processes. It outlines several strategies for test automation, including using frameworks that break testing into reusable components and actions to increase efficiency and allow for parallel testing. The goal is to eliminate friction between developers and testers by enabling quick fixing of bugs and continued testing through virtual test data sharing.
As applications become more complex and users more discerning, the importance of rigorous testing cannot be overstated. Functional testing is a cornerstone of the software quality assurance process, focusing on verifying that each application feature operates in conformance with the specified requirements.
William Truong has over 18 years of experience in automation and manual testing. He has expertise in test automation, performance testing, load testing, and functional testing. His technical skills include Selenium, Visual Studio, JUnit, TestNG, JIRA, and load testing tools like LoadRunner and HP Load Test. He currently works as a Senior QA Automation Engineer at Evolent Health, where he develops and executes automated test scripts and performance tests.
- JMeter is an open source load testing tool that can test web applications and other services. It uses virtual users to simulate real user load on a system.
- JMeter tests are prepared by recording HTTP requests using a proxy server. Tests are organized into thread groups and loops to simulate different user behaviors and loads.
- Tests can be made generic by using variables and default values so the same tests can be run against different environments. Assertions are added to validate responses.
- Tests are run in non-GUI mode for load testing and can be distributed across multiple machines for high user loads. Test results are analyzed using aggregated graphs and result trees.
Load Testing: See a Bigger Picture, ALM Forum, 2014Alexander Podelko
The document discusses different approaches to load testing, including load generation techniques like record and playback, real users, programming, and mixed approaches. It also covers load testing environments such as lab vs cloud vs production environments. Finally, it provides an overview of various load testing tools and how their suitability depends on factors like the technologies being tested and testing needs. The key message is that load testing is an important part of performance risk mitigation but requires choosing the right approach and tools based on the specific testing situation.
This document discusses Viewpoint's approach to web API performance testing. It outlines three key checkpoints: (1) ensuring performance during agile sprints through design reviews and trend monitoring, (2) integrating and testing components from different teams, and (3) performing full regression testing before release. It also defines different types of performance testing and describes the tools and processes used, including load testing with Visual Studio, tracking performance metrics, and using dashboards to socialize goals.
This document summarizes a technical seminar on using social media for supply chain risk management. It discusses how major companies like Dell, HP, Toyota, and Amazon use social media and outlines Dell's supply chain process. It then explains how social media is linked to supply chain risks and identifies different sources of risk, such as market uncertainty, social media, natural disasters, and labor issues. The document proposes a framework for using social media data analysis and monitoring to identify, assess, and mitigate supply chain risks. It concludes by discussing both the advantages and disadvantages of using social media for supply chain risk management.
This document summarizes a study on risk assessment models and methods for small and medium software development projects. It identifies 12 risk assessment approaches across two categories: models and methods. The models category includes prototypes like RAT and SRAEM that assess risk through matrices and estimations. The methods category consists of techniques like expectation maximization algorithms and source-based SRAM that use facts and probability assessments. The author concludes no single approach is ideal for all small projects due to their rapid timelines and budgets, and proposes a 5-step process to strategically assess risks.
The document discusses software project assessments and different types of assessments. It defines software assessment as a disciplined examination of software processes and projects to determine strengths and weaknesses. The assessment results are used to identify areas for process improvement. The document also describes the minimum requirements for CMM-based assessments and the typical phases involved in assessments like SCAMPI.
This document summarizes a technical seminar on Lean, Six Sigma and Lean Six Sigma operations strategies. It discusses continuous improvement concepts like quality, waste reduction and production line simplification that underlie models like Total Quality Management, Lean manufacturing and Six Sigma. These models aim to add value for stakeholders, provide competitive advantages and reduce cycle times when implemented. The seminar presents operations strategy models and decision areas. It then explains Lean manufacturing, Six Sigma and Lean Six Sigma individually. The objectives of Lean Six Sigma are outlined, followed by a proposed conceptual model and survey methodology to analyze relationships between operations management models, decision areas and competitive priorities. Statistical analysis examples are shown and conclusions discuss how the models can help companies achieve superior performance across priorities like
This document discusses exploratory testing and compares it to scripted manual testing. Exploratory testing emphasizes the freedom and responsibility of individual testers to continually optimize their work. It involves simultaneous learning, test design, and test execution while adapting tests as they are performed. Some key advantages are that it encourages creativity and finding bugs quickly, while disadvantages include relying on tester skills and knowledge. Different types of exploratory testing are described, as well as when it should be applied and examples from Microsoft, Adobe, and Philips.
This document discusses the IPC mechanisms in 4.3BSD Unix. It describes the socket abstraction layer that provides a unified interface for communication. The key IPC primitives for both connection-oriented and connectionless communication are socket(), bind(), connect(), listen(), accept(), sendto(), and recvfrom(). Connection-oriented communication uses stream sockets and establishes connections between clients and servers, while connectionless communication uses datagram sockets for quick exchanges without establishing connections.
Multimedia databases allow for the storage, management, and retrieval of various media file types like documents, images, audio, and video. Multimedia database management systems provide a framework for different data formats across many sources. Requirements for multimedia databases include integration, data independence, concurrency control, persistence, privacy, availability, integrity control, recovery, query support, manageability, and indexing and retrieval. Indexing and retrieval uses standardized technologies to code multimedia data and describe content to enable searching and extracting information from stored multimedia data. Multimedia database architectures can be based on principles of autonomy, uniformity, or a hybrid approach.
Avast Premium Security Crack FREE Latest Version 2025mu394968
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In essence, Avast Premium Security provides a robust suite of tools to keep your devices and online activity safe and secure, according to Avast.
What Do Contribution Guidelines Say About Software Testing? (MSR 2025)Andre Hora
Software testing plays a crucial role in the contribution process of open-source projects. For example, contributions introducing new features are expected to include tests, and contributions with tests are more likely to be accepted. Although most real-world projects require contributors to write tests, the specific testing practices communicated to contributors remain unclear. In this paper, we present an empirical study to understand better how software testing is approached in contribution guidelines. We analyze the guidelines of 200 Python and JavaScript open-source software projects. We find that 78% of the projects include some form of test documentation for contributors. Test documentation is located in multiple sources, including CONTRIBUTING files (58%), external documentation (24%), and README files (8%). Furthermore, test documentation commonly explains how to run tests (83.5%), but less often provides guidance on how to write tests (37%). It frequently covers unit tests (71%), but rarely addresses integration (20.5%) and end-to-end tests (15.5%). Other key testing aspects are also less frequently discussed: test coverage (25.5%) and mocking (9.5%). We conclude by discussing implications and future research.
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.
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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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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.
Scaling GraphRAG: Efficient Knowledge Retrieval for Enterprise AIdanshalev
If we were building a GenAI stack today, we'd start with one question: Can your retrieval system handle multi-hop logic?
Trick question, b/c most can’t. They treat retrieval as nearest-neighbor search.
Today, we discussed scaling #GraphRAG at AWS DevOps Day, and the takeaway is clear: VectorRAG is naive, lacks domain awareness, and can’t handle full dataset retrieval.
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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.
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Participate in live demonstrations and a hands-on activity to see how you can use Microsoft 365 Copilot in your own work!
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
How can one start with crypto wallet development.pptxlaravinson24
This presentation is a beginner-friendly guide to developing a crypto wallet from scratch. It covers essential concepts such as wallet types, blockchain integration, key management, and security best practices. Ideal for developers and tech enthusiasts looking to enter the world of Web3 and decentralized finance.
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"YouTube by Click" likely refers to the ByClick Downloader software, a video downloading and conversion tool, specifically designed to download content from YouTube and other video platforms. It allows users to download YouTube videos for offline viewing and to convert them to different formats.
Societal challenges of AI: biases, multilinguism and sustainabilityJordi Cabot
Towards a fairer, inclusive and sustainable AI that works for everybody.
Reviewing the state of the art on these challenges and what we're doing at LIST to test current LLMs and help you select the one that works best for you
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Wondershare Filmora is a video editing software and app designed for both beginners and experienced users. It's known for its user-friendly interface, drag-and-drop functionality, and a wide range of tools and features for creating and editing videos. Filmora is available on Windows, macOS, iOS (iPhone/iPad), and Android platforms.
Exceptional Behaviors: How Frequently Are They Tested? (AST 2025)Andre Hora
Exceptions allow developers to handle error cases expected to occur infrequently. Ideally, good test suites should test both normal and exceptional behaviors to catch more bugs and avoid regressions. While current research analyzes exceptions that propagate to tests, it does not explore other exceptions that do not reach the tests. In this paper, we provide an empirical study to explore how frequently exceptional behaviors are tested in real-world systems. We consider both exceptions that propagate to tests and the ones that do not reach the tests. For this purpose, we run an instrumented version of test suites, monitor their execution, and collect information about the exceptions raised at runtime. We analyze the test suites of 25 Python systems, covering 5,372 executed methods, 17.9M calls, and 1.4M raised exceptions. We find that 21.4% of the executed methods do raise exceptions at runtime. In methods that raise exceptions, on the median, 1 in 10 calls exercise exceptional behaviors. Close to 80% of the methods that raise exceptions do so infrequently, but about 20% raise exceptions more frequently. Finally, we provide implications for researchers and practitioners. We suggest developing novel tools to support exercising exceptional behaviors and refactoring expensive try/except blocks. We also call attention to the fact that exception-raising behaviors are not necessarily “abnormal” or rare.
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FL Studio is a Digital Audio Workstation (DAW) software used for music production. It's developed by the Belgian company Image-Line. FL Studio allows users to create and edit music using a graphical user interface with a pattern-based music sequencer.
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.
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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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
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Adobe Illustrator is a powerful, professional-grade vector graphics software used for creating a wide range of designs, including logos, icons, illustrations, and more. Unlike raster graphics (like photos), which are made of pixels, vector graphics in Illustrator are defined by mathematical equations, allowing them to be scaled up or down infinitely without losing quality.
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Creative Freedom:
It empowers designers to create detailed, high-quality graphics with a high degree of control and precision.
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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Response time difference analysis of performance testing tools
1. Performance testing : Analyzing
Differences of Response Time
between Performance Testing
Tools
By
Spoorthi Sham
1PI14SSE12
12-05-2015 1CSPA Seminar
2. Performance Testing
• Performance testing is the process of determining the
speed or effectiveness of a computer, network, software
program or device.
• This process can involve quantitative tests done in a lab,
such as measuring the response time or the number of
MIPS (millions of instructions per second) at which a
system functions.
12-05-2015 2CSPA Seminar
3. How is it performed?
Tools used..
12-05-2015 3CSPA Seminar
4. Issues with the tools
• Several issues have been observed related to tools when conducting performance testing:
tools compatibility with the software under test
tools installation
tools setup
tools flexibility in doing test both for client and server side
response time generated by the tools
To demonstrate and
prove that response
time from different
performance testing
tools is different
To suggest potential
reasons or root
cause behind
response time
differences
To answer the question:
“Why do different performance
testing tools produce different
response time?”
Research
Focus
12-05-2015 4CSPA Seminar
5. • Most previous work on performance testing tools comparison ignored
on different result reported by each tools
• There is no work so far to understand why they are different against
tools
• Each tool claims they are better than the others but none able to
justify the performance testing results against the real world.
Related Works
12-05-2015 5CSPA Seminar
6. Tool A
•Open source tool purely
developed on Java platform
•Sits as desktop-based tool
•Serves functional, load and
stress testing which is extensible
to write own test to suit the
scenario.
•Can simulate heavy load on the
application, server and even the
network
•Able to give instant visual
feedback and capable to do load
and stress testing via distributed
approach
•Supports protocols such as HTTP,
JMS, JDBC, FTP, SOAP as well as
LDAP
•Used across platforms and
supports full multithreading
framework
•Allows caching and offline
analysis with replaying of test
results
Tool B
• Open source load testing
tool
• Developed using C++
language
• Can perform heavy load
tests using scripted HTTP
and HTTPS
• Feature-rich GUI-based web
server benchmarking tool
• Only runs on Windows-
based platform
• Performance scripts are
recorded using own
proprietary language
• Support custom functions,
variable scopes, and
random or sequential lists
Tool C
• Proprietary tool (one of the
established performance
tools in the market)
• Built on Eclipse and Java
• Offers automated
performance testing for
web and served based
application
• Can be used across
platforms (Windows, UNIX
and Linux)
• Capable to create code free
tests, automate test data
variation and enables
insertion of custom Java
code for flexible test
customization.
• Supports operating systems
such as Windows, Linux,
and z/OS
Overview of Performance Testing Tools
12-05-2015 6CSPA Seminar
7. Test Environment Setup
Hardware Specification (Both Machines)
CPU/processor : Intel Pentium D 3.4 GHz
RAM/memory : 2 GB
HDD storage : 80 GB
Network Card : Integrated 10/100/1000 Ethernet
Server machine
Operating system : Windows Server 2003 Enterprise Edition SP1
Java JDK : JDK 1.6.0 update 21
Web server : Internet Information Services 6
HTML page size : 65.8 KB (Page: 7 KB; Image 1: 25.2 KB;
Image 2: 33.6 KB)
Client machine
Operating system : Windows XP SP2
Java JDK : JDK 1.6.0 update 21
Tool : Tool A (open source);
Tool B (open source);
Tool C (proprietary)
12-05-2015 7CSPA Seminar
14. Potential Reasons for Response Time Differences
• Some fundamental reasons:
capturing and simulating the load used for the performance test
method of calculating metrics gathered by each tool
language to develop the tools
architecture of the respective tools
• Architecture differs greatly:
Tool A and C developed by using Java and they require JVM to run so the
value setting for Java Heap Size plays a role to generate the best user load
without putting extra burden to the client
Tool B architecture relies on web relay daemon facility allowing CORBA-
based communication to be transmitted between machines during executing
the performance test
Findings
12-05-2015 14CSPA Seminar
15. Conclusion
• Different performance testing tools do give a different response
time.
• Currently, there is no tool able to tell us if application is fast
enough in term of user experience in a reality
• It is crucial for performance testers to understand that there is no
tool that is able to automate and tell us about the full picture of the
application's performance that is going to be in a real world
• It is back to human brain to analyze the information given and
performance testing tools is just one of the way that can be used to
achieve that.
12-05-2015 15CSPA Seminar