Continuous integration is a software development practice where team members integrate their work frequently through automated builds and testing to detect errors early. When properly implemented through a system that automatically builds, tests, and reports on code commits, continuous integration can help QA teams by increasing project visibility, maintaining deployable software, reducing risks through more frequent testing, and reducing repetitive manual processes. However, setting up and maintaining a continuous integration system requires an initial investment and comes with some increased overhead risks.
10 Things You Might Not Know: Continuous IntegrationCoveros, Inc.
Continuous integration (CI) is a software development practice where developers regularly merge their code changes into a central repository after which automated builds and tests are run. This process catches bugs early and prevents integration issues. CI builds quality in by automating testing and moving it earlier in the development process. Agile development relies on CI to reduce the costs of changes by dealing with issues as soon as they arise. While often associated with agile methods, CI benefits all projects by integrating and testing code more frequently. Open source tools have matured to support CI at low cost. CI also increases accountability, security, visibility into projects, and facilitates collaboration between development and testing teams.
How to go from waterfall app dev to secure agile development in 2 weeks Ulf Mattsson
The document discusses various topics related to data security and privacy including:
1. International standards for data de-identification techniques and privacy models such as ISO 20889.
2. A comparison of different data de-identification techniques in terms of their ability to reduce risks like singling out, linking, and inference.
3. Examples of mapping de-identification techniques like tokenization and encryption to different data deployment models including centralized/distributed data warehouses and public/private/on-premises clouds.
Continuous Integration (CI) is a software development practice where developers integrate code into a shared repository frequently, preferably daily or multiple times per day. Each integration is verified by an automated build and test process to detect errors early. CI can significantly reduce integration problems and allow software to be developed more rapidly. CI practices include automating builds and tests, integrating frequently in small batches, treating failures as priority issues, and making current successful builds easily available. Open source tools like CruiseControl can help implement CI processes.
DevOps is a software development approach that emphasizes collaboration between development and operations teams throughout the development lifecycle. Central to DevOps is continuous delivery, which involves frequent software releases through an automated testing pipeline. This pipeline incorporates various types of testing at different stages to catch issues early. Automated deployment is key to continuous delivery, allowing for more testing opportunities like automated functional and security testing. Implementing practices like continuous integration, unit testing, code coverage, mutation testing, static analysis, and automated deployment verification can improve software quality by enabling more testing and fearless refactoring.
Pete Marshall - casmadrid2015 - Continuous Delivery in Legacy EnvironmentsPeter Marshall
This document discusses practices for implementing continuous delivery in legacy software environments. It outlines key characteristics of continuous delivery like keeping software deployable throughout its lifecycle. It then provides examples of how one company transitioned their monolithic legacy application to a continuous delivery model by using techniques like the strangler pattern, refactoring to separate concerns, and restructuring their organization into cross-functional product teams. The document emphasizes establishing technical foundations, learning through the build-deploy-learn cycle, and focusing on delivering value to customers.
Capital One DevOps Case Study: A Bank with the Heart of Tech CompanySimform
Many organizations want to adopt DevOps to work their way through digital transformation. This case study of Capital One's journey of adopting DevOps and what distinctive tools and methods they introduced to stay ahead of the competition.
This document discusses how to integrate application security practices into continuous integration (CI) workflows to make security testing and analysis easier to manage. It recommends combining CI with automated security testing and static code analysis. Integrating these tools into CI helps minimize the effort required for secure development practices while still gaining their benefits. The document provides examples of open source and commercial tools that can be used for CI servers, source control, issue tracking, unit testing, security testing, and static code analysis. It also discusses considerations for tool selection and how to structure multiple CI jobs.
Improving Development Productivity: Static Analysis and Continuous IntegrationKlocwork
The document discusses how static source code analysis and continuous integration can improve software development productivity. It describes how Klocwork Insight and Urbancode AnthillPro address productivity bottlenecks by enabling continuous build and code analysis. This finds issues early, reduces bugs shipped to customers, and establishes stable builds. The integration of Klocwork and AnthillPro provides automated safety checks and correlates analysis data across the development lifecycle. The combination of these tools generates continuous feedback to improve quality and productivity.
10 Things You Might Not Know: Continuous IntegrationCoveros, Inc.
Continuous integration (CI) is a software development practice where developers regularly merge their code changes into a central repository after which automated builds and tests are run. This process catches bugs early and prevents integration issues. CI builds quality in by automating testing and moving it earlier in the development process. Agile development relies on CI to reduce the costs of changes by dealing with issues as soon as they arise. While often associated with agile methods, CI benefits all projects by integrating and testing code more frequently. Open source tools have matured to support CI at low cost. CI also increases accountability, security, visibility into projects, and facilitates collaboration between development and testing teams.
How to go from waterfall app dev to secure agile development in 2 weeks Ulf Mattsson
The document discusses various topics related to data security and privacy including:
1. International standards for data de-identification techniques and privacy models such as ISO 20889.
2. A comparison of different data de-identification techniques in terms of their ability to reduce risks like singling out, linking, and inference.
3. Examples of mapping de-identification techniques like tokenization and encryption to different data deployment models including centralized/distributed data warehouses and public/private/on-premises clouds.
Continuous Integration (CI) is a software development practice where developers integrate code into a shared repository frequently, preferably daily or multiple times per day. Each integration is verified by an automated build and test process to detect errors early. CI can significantly reduce integration problems and allow software to be developed more rapidly. CI practices include automating builds and tests, integrating frequently in small batches, treating failures as priority issues, and making current successful builds easily available. Open source tools like CruiseControl can help implement CI processes.
DevOps is a software development approach that emphasizes collaboration between development and operations teams throughout the development lifecycle. Central to DevOps is continuous delivery, which involves frequent software releases through an automated testing pipeline. This pipeline incorporates various types of testing at different stages to catch issues early. Automated deployment is key to continuous delivery, allowing for more testing opportunities like automated functional and security testing. Implementing practices like continuous integration, unit testing, code coverage, mutation testing, static analysis, and automated deployment verification can improve software quality by enabling more testing and fearless refactoring.
Pete Marshall - casmadrid2015 - Continuous Delivery in Legacy EnvironmentsPeter Marshall
This document discusses practices for implementing continuous delivery in legacy software environments. It outlines key characteristics of continuous delivery like keeping software deployable throughout its lifecycle. It then provides examples of how one company transitioned their monolithic legacy application to a continuous delivery model by using techniques like the strangler pattern, refactoring to separate concerns, and restructuring their organization into cross-functional product teams. The document emphasizes establishing technical foundations, learning through the build-deploy-learn cycle, and focusing on delivering value to customers.
Capital One DevOps Case Study: A Bank with the Heart of Tech CompanySimform
Many organizations want to adopt DevOps to work their way through digital transformation. This case study of Capital One's journey of adopting DevOps and what distinctive tools and methods they introduced to stay ahead of the competition.
This document discusses how to integrate application security practices into continuous integration (CI) workflows to make security testing and analysis easier to manage. It recommends combining CI with automated security testing and static code analysis. Integrating these tools into CI helps minimize the effort required for secure development practices while still gaining their benefits. The document provides examples of open source and commercial tools that can be used for CI servers, source control, issue tracking, unit testing, security testing, and static code analysis. It also discusses considerations for tool selection and how to structure multiple CI jobs.
Improving Development Productivity: Static Analysis and Continuous IntegrationKlocwork
The document discusses how static source code analysis and continuous integration can improve software development productivity. It describes how Klocwork Insight and Urbancode AnthillPro address productivity bottlenecks by enabling continuous build and code analysis. This finds issues early, reduces bugs shipped to customers, and establishes stable builds. The integration of Klocwork and AnthillPro provides automated safety checks and correlates analysis data across the development lifecycle. The combination of these tools generates continuous feedback to improve quality and productivity.
As companies have adopted faster development methodologies a new constraint has emerged in the journey to digital transformation: data. Data has long been the neglected discipline, the weakest link in the tool chain, with provisioning times still counted in days, weeks, or even months. In addition, most companies are still using decades-old processes to manage and deploy database changes, further anchoring development teams.
Leverage DevOps & Agile Development to Transform Your Application Testing Pro...Deborah Schalm
Discover how Sona Srinivasan, Senior Architect of Cisco IT’s Global Architecture and Technology Services group, helps transform an IT DevOps strategy to a Security DevOps strategy, with IBM Security's assistance. Cisco is presently implementing continuous security and agile methods throughout the software development lifecycle (SDLC), and specific examples of current initiatives will be reviewed in this session.
To successfully implement continuous delivery in an enterprise, there are specific needs and obstacles which must be addressed. In this webinar, we’ll address the pain points that most enterprises face, and how they can be overcome.
Selenium Today vs. Selenium Tomorrow: Digital as the Convergence of Mobile & ...Perfecto by Perforce
Selenium tests are challenging to execute on mobile due to issues like unstable environments, limited test scenarios, long test development times and excessive failures. Continuous integration of mobile tests requires shifting practices to address these challenges. Best practices include using a device lab with service level agreements for availability, developing cross-platform test code, implementing error handling, and optimizing test execution through techniques like parallel testing and resource management. Unleashing the full capabilities of Appium through a solution like Perfecto Mobile can help automate mobile tests across real user environments at an enterprise scale.
This document summarizes a research study comparing test-driven development (TDD) to traditional ad-hoc development approaches. The study divided developers into two teams - one using TDD and one using ad-hoc methods. The TDD team produced code with significantly fewer defects across all phases of development and maintenance. Specifically, the TDD approach resulted in 10 defects per thousand lines of code compared to 50 defects using ad-hoc methods. As a result, the TDD approach was found to reduce overall development and maintenance costs by decreasing the number of defects that need to be fixed.
Top Ten things that have been proven to effect software reliabilityAnn Marie Neufelder
There are many myths about what causes reliable or unreliable software. However, this presentation shows the facts based on real data from real projects.
Thought Frameworks has a reputation of outstanding Software Testing services, providing Smart Test Automation, Performance & Functional capabilities with hands-on open & commercial testing tools.
We are working from a position of strength for consumers like Cision, CellTrust, Chegg, Scantron, Verisign, Infusion,12Twenty to name a few, operating across the US, UK & Israel. With a focus on Education, Healthcare, Media,Telecom, Banking, Insurance & Retail Sector.
We will continue to do many of the things we've always done well. But we are making the significant approach to new situations by bringing fresh insight with extremely experienced QA professionals for premium quality.
Simplify your QA processes and find innovative ways to grow your business.
DevOps and Safety Critical Systems discusses applying DevOps practices like continuous deployment to safety critical systems. It proposes "partial continuous deployment" which involves:
1. Identifying and isolating safety critical portions of a system's architecture.
2. Applying continuous deployment practices to non-safety critical portions.
3. Continuing traditional testing methods for safety critical portions.
It discusses past efforts in smart grid security controls and hardening deployment pipelines that provide foundations for this approach. Key steps include explicitly defining safety requirements, analyzing architectures to identify minimum required safe components, and refactoring to separate safe and non-safe concerns. Regulatory approval is viewed as a major gate to implementing partial continuous deployment for real safety
This document provides an overview of DevOps success including:
1) High-performing IT organizations that practice DevOps are able to deploy code more frequently, have faster lead times, and higher change success rates, leading to increased reliability, productivity, and market growth.
2) Organizations should align incentives, form cross-functional teams, and automate workflows to reduce manual work and cycle times for better visibility and job satisfaction.
3) Key DevOps practices include continuous integration, version control, and continuous delivery across all technologies to reduce deployment pain and increase deployment frequency.
4) When starting a DevOps transformation, companies should establish a single source of truth, standardize processes, iterate on those processes, and
This document summarizes the software testing services offered by Thought Frameworks Inc. They provide manual, automated, and performance testing services across various industries including education, healthcare, retail, banking, and finance. Their testing methodology is structured and customizable to clients' needs. They aim to identify defects early and reduce defects throughout the software development lifecycle.
Continuous Testing - The Final FrontierJaco Greyling
Continuous testing is the practice of testing software throughout the development lifecycle to identify and address issues early. It involves automating test cases from requirements, simulating test environments, accessing test data on demand, starting multi-layer testing before UI, democratizing performance testing, and integrating open source testing tools. Most companies cannot currently do continuous testing but aspire to achieve it through practices like in-sprint testing automation, test scripting and execution within sprints, and analyzing test results to update requirements models. Continuous testing is important because it helps ensure high quality software and speed of delivery, both of which are critical to business success.
Security Implications for a DevOps TransformationDeborah Schalm
DevOps aims to break down silos between development and operations teams through collaboration, automation, and continuous delivery. While this provides benefits, it can also introduce security risks if security is not properly included. The presentation discusses five key aspects of a DevOps transformation and their security implications. It argues that DevOps and security are not mutually exclusive if security is incorporated through collaboration, automated testing of security requirements, and accelerating remediation of vulnerabilities.
Compatibility Testing of Your Web Apps - Tips and Tricks for Debugging Locall...Sauce Labs
Test automation is all about running the most tests in the least amount of time. This is great for mature apps, but in the early stages of developing your web or mobile app, developers need to run a number of tests to ensure the app runs at all. Further complicating the issue is that often, your app is architect-ed differently for web and mobile which makes writing automated tests tricky.
Test Automation Specialist Max Saperstone from Coveros will cover some simple testing examples and demonstrate how to expand these for testing over multiple web architectures. He will briefly cover the difference in the design of these sites with a focus on how tests can be designed to overcome their limitations, minimizing duplicate code, and following best practices.
Rick Craig, a consultant with over 30 years of experience in testing and test management, presented a training on essential test management and planning. The presentation covered topics such as test levels, test methodologies, test planning, and test documentation like the master test plan. It emphasized treating testing as a lifecycle process integrated throughout development.
DevOps is a methodology capturing the practices adopted from the very start by the web giants who had a unique opportunity as well as a strong requirement to invent new ways of working due to the very nature of their business: the need to evolve their systems at an unprecedented pace as well as extend them and their business sometimes on a daily basis.
While DevOps makes obviously a critical sense for startups, I believe that the big corporations with large and old-fashioned IT departments are actually the ones that can benefit the most from adopting these principles and practices.
The document discusses best practices for quality software development including defining quality code, design, and processes. It outlines common problems like poor requirements, unrealistic schedules, and miscommunication. It recommends solid requirements, realistic schedules, adequate testing, sticking to initial requirements where possible, and good communication. The document also presents 7 principles of quality development including keeping it simple, maintaining vision, planning for reuse, and thinking before acting. It concludes with tips for developers like focusing on users and tools to aid development.
The document summarizes key findings from a study of high performing IT organizations. It was found that high performers have more stable and nimble operations that are more compliant and secure. They find and fix security issues faster. When implementing changes, high performers have more changes with lower failure rates. They also have less unplanned work and more projects. Three key controls - standardized configurations, process discipline and controlled access - predicted 60% of performance. The document advocates applying principles of lean and systems thinking to create reliable DevOps partnerships between development, operations and security.
The document discusses the evolution of the software development life cycle (SDLC) and infrastructure as code (IaC). Historically, deploying code required manually configuring physical servers, which was time-consuming and error-prone. While waterfall and agile approaches improved collaboration, cloud computing and infrastructure as code further accelerated development. DevOps emerged to integrate development and operations teams, promoting security throughout the process. Static code analysis now automatically checks IaC templates for security issues early in development.
In Agile’s fast-paced environment with frequent releases,
security reviews and testing can sound like an impediment to success. How can you keep up with Agile development's demands of continuous integration and deployment without
abandoning security best practices? These 10 steps will help you get the best of both worlds.
The document provides examples of phrases for asking for and refusing goods and services in English. It also includes two short dialogues asking about products for sale in a shop and asking for directions to buy a product. The document concludes by thanking the reader.
As companies have adopted faster development methodologies a new constraint has emerged in the journey to digital transformation: data. Data has long been the neglected discipline, the weakest link in the tool chain, with provisioning times still counted in days, weeks, or even months. In addition, most companies are still using decades-old processes to manage and deploy database changes, further anchoring development teams.
Leverage DevOps & Agile Development to Transform Your Application Testing Pro...Deborah Schalm
Discover how Sona Srinivasan, Senior Architect of Cisco IT’s Global Architecture and Technology Services group, helps transform an IT DevOps strategy to a Security DevOps strategy, with IBM Security's assistance. Cisco is presently implementing continuous security and agile methods throughout the software development lifecycle (SDLC), and specific examples of current initiatives will be reviewed in this session.
To successfully implement continuous delivery in an enterprise, there are specific needs and obstacles which must be addressed. In this webinar, we’ll address the pain points that most enterprises face, and how they can be overcome.
Selenium Today vs. Selenium Tomorrow: Digital as the Convergence of Mobile & ...Perfecto by Perforce
Selenium tests are challenging to execute on mobile due to issues like unstable environments, limited test scenarios, long test development times and excessive failures. Continuous integration of mobile tests requires shifting practices to address these challenges. Best practices include using a device lab with service level agreements for availability, developing cross-platform test code, implementing error handling, and optimizing test execution through techniques like parallel testing and resource management. Unleashing the full capabilities of Appium through a solution like Perfecto Mobile can help automate mobile tests across real user environments at an enterprise scale.
This document summarizes a research study comparing test-driven development (TDD) to traditional ad-hoc development approaches. The study divided developers into two teams - one using TDD and one using ad-hoc methods. The TDD team produced code with significantly fewer defects across all phases of development and maintenance. Specifically, the TDD approach resulted in 10 defects per thousand lines of code compared to 50 defects using ad-hoc methods. As a result, the TDD approach was found to reduce overall development and maintenance costs by decreasing the number of defects that need to be fixed.
Top Ten things that have been proven to effect software reliabilityAnn Marie Neufelder
There are many myths about what causes reliable or unreliable software. However, this presentation shows the facts based on real data from real projects.
Thought Frameworks has a reputation of outstanding Software Testing services, providing Smart Test Automation, Performance & Functional capabilities with hands-on open & commercial testing tools.
We are working from a position of strength for consumers like Cision, CellTrust, Chegg, Scantron, Verisign, Infusion,12Twenty to name a few, operating across the US, UK & Israel. With a focus on Education, Healthcare, Media,Telecom, Banking, Insurance & Retail Sector.
We will continue to do many of the things we've always done well. But we are making the significant approach to new situations by bringing fresh insight with extremely experienced QA professionals for premium quality.
Simplify your QA processes and find innovative ways to grow your business.
DevOps and Safety Critical Systems discusses applying DevOps practices like continuous deployment to safety critical systems. It proposes "partial continuous deployment" which involves:
1. Identifying and isolating safety critical portions of a system's architecture.
2. Applying continuous deployment practices to non-safety critical portions.
3. Continuing traditional testing methods for safety critical portions.
It discusses past efforts in smart grid security controls and hardening deployment pipelines that provide foundations for this approach. Key steps include explicitly defining safety requirements, analyzing architectures to identify minimum required safe components, and refactoring to separate safe and non-safe concerns. Regulatory approval is viewed as a major gate to implementing partial continuous deployment for real safety
This document provides an overview of DevOps success including:
1) High-performing IT organizations that practice DevOps are able to deploy code more frequently, have faster lead times, and higher change success rates, leading to increased reliability, productivity, and market growth.
2) Organizations should align incentives, form cross-functional teams, and automate workflows to reduce manual work and cycle times for better visibility and job satisfaction.
3) Key DevOps practices include continuous integration, version control, and continuous delivery across all technologies to reduce deployment pain and increase deployment frequency.
4) When starting a DevOps transformation, companies should establish a single source of truth, standardize processes, iterate on those processes, and
This document summarizes the software testing services offered by Thought Frameworks Inc. They provide manual, automated, and performance testing services across various industries including education, healthcare, retail, banking, and finance. Their testing methodology is structured and customizable to clients' needs. They aim to identify defects early and reduce defects throughout the software development lifecycle.
Continuous Testing - The Final FrontierJaco Greyling
Continuous testing is the practice of testing software throughout the development lifecycle to identify and address issues early. It involves automating test cases from requirements, simulating test environments, accessing test data on demand, starting multi-layer testing before UI, democratizing performance testing, and integrating open source testing tools. Most companies cannot currently do continuous testing but aspire to achieve it through practices like in-sprint testing automation, test scripting and execution within sprints, and analyzing test results to update requirements models. Continuous testing is important because it helps ensure high quality software and speed of delivery, both of which are critical to business success.
Security Implications for a DevOps TransformationDeborah Schalm
DevOps aims to break down silos between development and operations teams through collaboration, automation, and continuous delivery. While this provides benefits, it can also introduce security risks if security is not properly included. The presentation discusses five key aspects of a DevOps transformation and their security implications. It argues that DevOps and security are not mutually exclusive if security is incorporated through collaboration, automated testing of security requirements, and accelerating remediation of vulnerabilities.
Compatibility Testing of Your Web Apps - Tips and Tricks for Debugging Locall...Sauce Labs
Test automation is all about running the most tests in the least amount of time. This is great for mature apps, but in the early stages of developing your web or mobile app, developers need to run a number of tests to ensure the app runs at all. Further complicating the issue is that often, your app is architect-ed differently for web and mobile which makes writing automated tests tricky.
Test Automation Specialist Max Saperstone from Coveros will cover some simple testing examples and demonstrate how to expand these for testing over multiple web architectures. He will briefly cover the difference in the design of these sites with a focus on how tests can be designed to overcome their limitations, minimizing duplicate code, and following best practices.
Rick Craig, a consultant with over 30 years of experience in testing and test management, presented a training on essential test management and planning. The presentation covered topics such as test levels, test methodologies, test planning, and test documentation like the master test plan. It emphasized treating testing as a lifecycle process integrated throughout development.
DevOps is a methodology capturing the practices adopted from the very start by the web giants who had a unique opportunity as well as a strong requirement to invent new ways of working due to the very nature of their business: the need to evolve their systems at an unprecedented pace as well as extend them and their business sometimes on a daily basis.
While DevOps makes obviously a critical sense for startups, I believe that the big corporations with large and old-fashioned IT departments are actually the ones that can benefit the most from adopting these principles and practices.
The document discusses best practices for quality software development including defining quality code, design, and processes. It outlines common problems like poor requirements, unrealistic schedules, and miscommunication. It recommends solid requirements, realistic schedules, adequate testing, sticking to initial requirements where possible, and good communication. The document also presents 7 principles of quality development including keeping it simple, maintaining vision, planning for reuse, and thinking before acting. It concludes with tips for developers like focusing on users and tools to aid development.
The document summarizes key findings from a study of high performing IT organizations. It was found that high performers have more stable and nimble operations that are more compliant and secure. They find and fix security issues faster. When implementing changes, high performers have more changes with lower failure rates. They also have less unplanned work and more projects. Three key controls - standardized configurations, process discipline and controlled access - predicted 60% of performance. The document advocates applying principles of lean and systems thinking to create reliable DevOps partnerships between development, operations and security.
The document discusses the evolution of the software development life cycle (SDLC) and infrastructure as code (IaC). Historically, deploying code required manually configuring physical servers, which was time-consuming and error-prone. While waterfall and agile approaches improved collaboration, cloud computing and infrastructure as code further accelerated development. DevOps emerged to integrate development and operations teams, promoting security throughout the process. Static code analysis now automatically checks IaC templates for security issues early in development.
In Agile’s fast-paced environment with frequent releases,
security reviews and testing can sound like an impediment to success. How can you keep up with Agile development's demands of continuous integration and deployment without
abandoning security best practices? These 10 steps will help you get the best of both worlds.
The document provides examples of phrases for asking for and refusing goods and services in English. It also includes two short dialogues asking about products for sale in a shop and asking for directions to buy a product. The document concludes by thanking the reader.
This document summarizes an experiential team building program that involves music performances with celebrity musicians. The program is designed to engage participants through hands-on musical activities like writing, rehearsing, recording and performing live on stage alongside famous music stars. It claims to be more inclusive and engaging than competitors' offerings by featuring diverse music genres and professional-quality instruments and production. The goal is to create meaningful connections between attendees, music stars and each other through an immersive musical experience they will never forget.
Mia Jones outlines the equipment and software she will use to film and edit a film trailer, including a Canon SLR camera, tripod, boom microphone, Adobe Premiere Pro for editing, Photoshop for still images, Adobe Audition for sound editing, and After Effects for visual effects.
Definicion, caracteristiticas y funcionamiento de los plcelvischacon
El documento describe los componentes principales y el funcionamiento de los controladores lógicos programables (PLC). Un PLC consta de una unidad central de procesamiento (CPU), módulos de entrada y salida, memoria y una fuente de alimentación. La CPU ejecuta el programa de control cargado a través de una consola de programación y procesa las señales de entrada para controlar los dispositivos de salida según la lógica programada.
This document provides a detailed analysis of the 1994 film Leon: The Professional. It examines the film through the lenses of genre theory, narrative structure, semiotics, and representations. Specifically, it analyzes how the film fits the conventions of the action/crime genre, explores the linear narrative and character archetypes, discusses symbolic elements like costumes and mise-en-scene, and analyzes the representations of good vs evil and other binary oppositions within the film. Examples are provided to illustrate how the film effectively utilizes setting, characters, and iconography to tell its story and elicit critical responses from audiences.
Stilwell Enterprises provides heavy haul trucking services in the Bakken oilfield. The marketing plan proposes using cost-effective strategies like social media and websites to increase brand recognition and customer interaction. It recommends positioning the company based on its experienced leadership, efficient service, cost effectiveness, safety record, and knowledge of oilfield needs. The plan estimates these low-cost strategies could modestly increase annual revenues by 1-5% without large expenses.
El documento discute las implicaciones ambientales de los sistemas técnicos a nivel local, regional y global. Explica que los procesos técnicos producen bienes pero también residuos que contaminan el medio ambiente. Además, señala que las actividades humanas como la quema de combustibles fósiles han causado el calentamiento global y el cambio climático. Finalmente, indica que todos los sistemas técnicos requieren diferentes fuentes de energía como la solar, eléctrica o de combustibles fósiles para funcionar.
This document discusses continuous integration and Jenkins. It begins with explaining the fundamentals of continuous integration, including that it involves automatically compiling and testing code changes. It then provides a brief history of Jenkins, originally called Hudson. Next, it outlines 9 benefits of continuous integration such as increasing code coverage and deploying code more reliably. The document concludes with information about getting started with Jenkins.
Continuous Integration vs Continuous Delivery vs Continuous Deployment I hope you now get the difference between Continuous Integration, Continuous Delivery and Continuous Deployment. As i mentioned above, these are really an important practices which needs to be implemented to get all the benefits of DevOps.
Its a long journey to understand SCM and utilising all its benefits. Hope you enjoyed our today’s article as well ……
How To Implement Continuous Integration And Delivery In Software Development.pdfIntegrated IT Solutions
Continuous integration in software development and delivery (CI/CD) is a process that enables developers to quickly and easily build, test, and deploy software applications. It is a set of processes and tools that enable developers to work together, making certain changes to their code that are tested and released quickly and reliably. Here we will discuss how to implement continuous integration in software development along with continuous delivery.
The document discusses continuous integration (CI), including its benefits, when to implement it, who should use it, and how to set it up. CI involves developers integrating code daily and having an automated build test for quick error detection. Benefits include better quality, faster development, and cheaper defect fixing. The document recommends setting up a code repository, automated build script, and CI server to start. It also provides examples of best practices and demo tools like Hudson.
Application of Data Mining Techniques for Improving Continuous IntegrationDr. Amarjeet Singh
This document discusses how data mining techniques can be applied to data from continuous integration (CI) processes to extract useful knowledge and solve problems. CI involves frequent integration of code changes to detect errors early. It generates vast amounts of log and monitoring data that is often ignored. The document proposes applying clustering, classification, text mining and other techniques to this CI data to group similar logs, predict failures, find frequent issues, and understand team productivity and code changes. This could help with maintenance and further development by gaining insights from the abundant CI data typically not utilized.
This document discusses improvements to agile methodology through continuous integration using dynamic regression, code bisection, and code quality. It proposes mapping source code to test suites and running only relevant tests after code changes to speed up testing. When failures occur, code bisection is used to quickly identify responsible code changes. Code quality is also assessed continuously using tools like Sonar to monitor for issues. The approaches aim to improve agility, reduce bug fixing time, and ensure high code quality.
This whitepaper explains best practice methodology for Continuous Integration and the benefits it delivers.
CI allows Computaris to deliver outstanding results – faster. Computaris has an excellent track record of delivering successful projects. Customers come to Computaris for both new projects and to seek counsel on existing projects expecting swift turnaround times combined with excellent quality.
Continuous integration - stability, reliability and speed in software develop...Computaris
Stability, reliability and speed are just some of the words used to describe the advantages of a software development practice known as continuous integration (CI).
The whitepaper details Computaris' excellent track record of delivering successful projects and outstanding results using CI.
What is Continuous Integration and Continuous Delivery Sarah Elson
Continuous integration and Continuous Delivery are the processes, where your development team involves frequent code changes that are pushed in the main branch while ensuring that it does not impact any changes made by developers working parallelly. The aim of it is to reduce the chance of defects and conflicts during the integration of the complete project. Let’s take a deep dive and learn more about the fundamentals of Continuous Integration and Continuous Delivery.
This document discusses fundamentals of continuous integration testing. It explains that continuous integration aims to minimize integration time through frequent code commits, builds, tests and deployments. This allows bugs to be identified and fixed regularly to avoid delays. The document also describes various types of continuous testing like unit testing, functional testing, regression testing, performance testing, load testing, scalability testing and advantages of each.
Top DevOps Best Practices for a Successful Transition in 2023SofiaCarter4
How to make a successful transition to DevOps in 2023. Explore 12 top DevOps Best Practices for a successful transition in 2023. https://bit.ly/3uDL2Vj
Continuous Integration and Continuous Testing (CI/CT)archijain931
Continuous Integration and Continuous Testing are not merely buzzwords; they are essential practices for modern software development. CI/CT accelerates development, enhances quality, and ultimately delivers better software to end-users. While implementing these practices may require some effort and cultural adjustments, the benefits they offer far outweigh the challenges.
Leveraging DevOps for Faster and Scalable Deployments - Keynote.pdfPaschalOruche1
DevOps aims to shorten development cycles, improve quality, and provide quicker time to market by unifying software development and IT operations. It facilitates collaboration and automation to reliably deliver high-quality software. Key DevOps practices include continuous integration and deployment (CI/CD) through automation; infrastructure as code (IaC) to provision resources through code; automated testing for quality; and monitoring and logging for visibility. Deployment pipelines further streamline deployments through automated, multi-stage processes from code commits to post-deployment checks.
Continuous Integration and Continuous Testing (CI/CT)priyanka rajput
Continuous Integration and Continuous Testing are not merely buzzwords; they are essential practices for modern software development. CI/CT accelerates development, enhances quality, and ultimately delivers better software to end-users.
The document discusses methodologies for implementing DevOps in an organization, focusing on Continuous Integration (CI), Continuous Delivery (CD), and Continuous Deployment (CDP). It defines each practice and describes the typical architecture and workflows. CI automates building and testing code changes. CD further automates deploying to pre-production environments. CDP fully automates deploying to production. The document warns that CDP is risky and an organization must be prepared with capabilities like fast deployment rollbacks and monitoring before implementing it.
Continuous integration, testing, and delivery processes aim to provide fast feedback on code changes. This is done through frequent automated testing and deployment of code changes. Some key aspects discussed are:
- Continuous integration involves automatically testing code changes through builds and running automated tests. Frequent and immediate feedback is the goal but all tests may be too time-consuming.
- Continuous testing executes tests early and often based on code modifications to provide quick feedback.
- Continuous delivery deploys code changes to testing environments after builds to allow more testing, including performance and load tests. Continuous deployment then automatically deploys to production.
Prioritizing tests, running different test configurations, increasing non-UI testing, and splitting test
An Ultimate Guide to Continuous Testing in Agile Projects.pdfKMSSolutionsMarketin
As more businesses apply Continuous Integration and Continuous Delivery (CI/CD) to release their software faster, Continuous testing becomes the final piece that completes a continuous development process. By automatically testing code right after developers submit it to the repository, testers can locate bugs before another line of code is written.
Continuous Automation and its Impact on the CI_CD Pipeline.pdfkalichargn70th171
The CI/CD pipeline ensures software development teams reliably deliver code changes. CI is Continuous Integration, where developers merge code changes into a central repository, followed by automatic builds and tests. CD is either Continuous Delivery or Continuous Deployment, which are practices that automate the delivery of applications to selected infrastructure environments. Continuous Delivery automates the delivery process, while Continuous Deployment automates the production release.
is a method to frequently deliver apps to customers by introducing automation into the stages of app development. The main concepts attributed to CI/CD are continuous integration, continuous delivery, and continuous deployment. A solution to the problems integrating new code can cause for development and operations teams.
Similar to Magenic-White-Paper-Continuous-Inegration-for-QA-Teams (20)
1. Without proper implementation, a continuous integration system will go from
a competitive advantage for a software quality assurance team to a negative
return on investment.
Continuous integration systems can help QA teams increase project visibility,
increase confidence and maintain deployable software while reducing
risks, repetitive manual processes, and overal cost. Because a continuous
integration system can be used with virtually any type of software test, it is an
essential part of an automation effort when properly installed.
The Importance of
Continuous Integration for
Quality Assurance Teams
White Paper
Aaron Humerickhouse
2. 2 | The Importance of Continuous Integration for Quality Assurance Teams
What is CI?
“Continuous Integration (CI) is a software development practice
where members of a team integrate their work frequently,
leading to multiple integrations per day. Each integration
is verified by an automated build, including tests, to detect
integration errors as quickly as possible. Many teams find
that this approach leads to significantly reduced integration
problems and allows a team to develop cohesive software more
rapidly.”1
The entire process starts with new code. When an individual
commits code to version control, the master node recognizes
the change and creates its own build. If the submitted build
passes, everything is good to move forward. If the build fails, it
is broken and the problem needs to be addressed immediately,
before anyone commits code to the version control. This
process helps maintain the principle of always having a
deliverable piece of software.
An Example of CI
Figure 1 provides an example of a CI system with child nodes.
In the example, Tim and Jane are working on the same project
and sharing a version control system. Tim is ready to commit
his code changes and unit tests to the version control. He runs
a private build to make sure his code will not break the build.
His private build passes and he commits to version control.
Because the master node is continuously polling the version
control for changes made, the master node recognizes Tim’s
commit and builds it to make sure there are no errors. When
it sees that there are no errors in the build, the master node
then pushes code to the child nodes. Now the child nodes are
ready to run all of the tests. The child nodes are then able to
run any automated test, including, but not limited to: unit, user
interface (UI), regression, smoke, load, stress, and performance
tests. Everything passes and Tim’s code is successfully
committed.
Jane sees that new code has been committed and the CI
system still reports passing
results. She pulls the
latest code from version
control, knowing that it is
the best practice to always
be working with the latest
code. Jane makes her
code changes, forgets to
run a private build, and
then commits her changes
to version control. While
the master node is still
polling for new changes, it
recognizes Jane’s commit
and builds with the new
Continuous integration is a software development practice
where members of a team integrate their work frequently.
Node 3Version
Control
Node 4
Node 1 Node 2
Master
Node
Tim
Jane
Results
CI
Figure 1 - A standard Continuous Integration system with child nodes.
3. 3 | The Importance of Continuous Integration for Quality Assurance Teams
code. The build fails, and the CI system now reports failure.
Tim wants to pull the latest, sees that the build is broken
and looks into it right away, as that is another best practice.
Because of the CI system, he was able to avoid pulling broken
code. He sees that Jane’s last set of code is the source of the
broken build and discusses it with her. She remembers she
failed to run a private build and reverts her changes in version
control. The CI system recognizes the change and builds. When
Jane’s build passes, the master node then pushes the code to
the child nodes which are awaiting testing. Similar results will
be shown if a private build is successful but the code does not
correctly integrate into the rest of the software. This can be
common if the private build does not include the entire project.
General Team Advantages
Project Visibility
A CI system can have very powerful reporting capabilities. With
the ability to store previous results, trending can be observed.
With defined trends, effective decisions can be made, leading
to reduced time in planning and execution. Stronger reporting
also allows a more accurate understanding of progress can be
sent to the client and management. Additionally, knowing the
number of defects introduced, on average, greatly increases the
accuracy of planning.
Confidence
Individuals who commit code in a CI system will immediately
see if the code integrates correctly or not. When the code
integrates correctly, there is a new deployable piece of
software. When the code does not integrate correctly, the
build fails and an individual can quickly revert their changes to
fix the problem.
Maintain Deployable Software
The third principle behind the Agile Manifesto is “[d]eliver
working software frequently, from a couple of weeks to a
couple of months, with a preference to the shorter timescale.”
A CI system will allow a team to produce a deployable piece
of software at any time as long as it is free from defects or
errors. A CI system will point
to the defects or errors and
allow an individual to quickly
identify the issue. If a team
is continuously integrating their software changes, better
software is produced and tested more often.
General Team Disadvantages
Increased Overhead
As with any new addition to a project, it takes time to learn
the software and how to set it up. However, if the project
is large enough, use of a CI system will justify time spent on
the learning curve and set up. Once a CI system is up and
running, maintenance time will be incurred. Some projects
have multiple releases throughout their lives. Trying to juggle
multiple releases across multiple nodes is cumbersome.
Initial Cost
Estimating the cost of a machine to be $2000 makes it easy to
look past a network of machines and a CI system. However,
the time and resources saved thanks to the system will justify
the one-time cost commitment. The cost of a CI system
environment is much lower than that of a defect found too late
in the development process.
Mental Factors
In addition to tangible limitations, there are mental factors as
to why a team does not want to implement a CI system. Once
a CI system is in place, there may a higher failure rate in testing
than previously seen. Management can quickly be discouraged
by this, but should not fret. This is how a CI system works! By
design, a higher percentage of tests will fail because individuals
will be committing changes more frequently, spending less
time worrying about an integration being perfect. This is what
makes a CI system effective. Even though the system will be
performing these activities, developers will still be performing
the manual build confirmations as expected.
Individuals who commit code in a CI system will
immediately see if the code integrates correctly or not.
4. 4 | The Importance of Continuous Integration for Quality Assurance Teams
Developers also get discouraged by the volume of changes to
the code. Generally developers in traditional environments like
to make sure large lumps of code are perfect before integration.
This can be a time waster. If a change passes the private build
and is pushed, the CI system will automatically communicate
whether or not it has integrated correctly, most often within
the hour. Instead of the developer spending time searching
every nook and cranny to make sure their code integrates, the
CI system automates the process over several nodes.
Another reason that teams shy away is because developers
should already be running private builds before integrating,
performing static analysis, etc. While this is true, humans make
errors and can forget to perform the necessary actions before
committing code. Running a CI system guarantees that these
are performed every time code is committed and gives visibility
to the action.
QA Advantages of using CI
Reduce Risks
A CI system creates the ability to focus on higher areas of
risk while it runs regression tests or tests areas of the project
that have been stable for many past iterations. Time is saved,
allowing resources to find new defects that may have otherwise
been overlooked due to time limitations. Another perk of a CI
system is that defects can be found immediately. A CI system
is the best way to run regression tests. While allowing time to
continue work in other areas, the CI system simultaneously runs
regression tests after each code integration. By continuously
integrating software changes and running tests after each
commit, assumptions – such as previously stabe areas
remaining stable – can be minimized, as many will be verified as
pass or fail.
Maintain Deployable Software
An automation framework should be treated as a software
development project. This includes version control and testing.
If the automation framework is being built and tested through
the CI system, it will also be deployable if it is free of defects or
errors.
Reduce Repetitive Manual Processes
Without a CI system, every build requires time to be manually
investigated. If a CI system is implemented, jobs will be kicked
off once a new build is delivered. This can include smoke
and regression testing. Depending on how often a build is
delivered, a CI system can save time by running these tests
and delivering the results. Assume for a minute that the client
needs its web-based program to run on Internet Explorer
9 and Mozilla Firefox, and functionality on a few additional
browsers as a perk. The CI system can be configured to run
tests in multiple, randomly chosen, environments and test
both required browsers throughout the day after a build. While
beneficial, randomly choosing which environment is tested
does not guarantee that every test is run in each browser
throughout the day. To verify full functionality in both Internet
Explorer 9 and Mozilla
Firefox, a time trigger can
be set to kick off the build
with Internet Explorer 9
while everyone is out of
the office, in order to limit
resource time wasted. An event trigger can then be set up to
run in Firefox after the Internet Explorer 9 tests are complete.
Instead of the developer spending time searching every nook
and cranny to make sure their code integrates, the CI system
automates the process
A CI system creates the ability to focus on higher areas
of risk while it runs regression tests or tests areas of the
project that have been stable for many past iterations.
5. 5 | The Importance of Continuous Integration for Quality Assurance Teams
This verifies functionality in both browsers at night, while
thoroughly testing each browser throughout the day.
Reduced Costs
Assume a QA team is assigned a build, on average, two and a
half times per week. It takes about an hour to smoke test each
deployed build on one configuration. If four configurations are
required, that would be ten hours per week spent on smoke
testing alone. If an automated smoke test takes half the time
(often it will take less) and the CI system has four nodes to test
on, smoke testing will take an hour and fifteen minutes per
week. Not only do the testers not have to spend ten hours per
week strictly smoke testing, but the smoke tests will be finished
sooner, allowing earlier confirmation that the build is ready
for testing. Extend this to regression, performance, load, and
stress testing and the time savings continue to mount. (Table 1)
Based on a hypothetical $85 hourly rate, the above scenario
yields a savings of 142 hours, or $12,070, for just running smoke
tests. If two identical teams worked on an identical project, one
with a CI system and one without, the CI team will be delivering
the same product with less man hours. The ability to deliver a
quality product with less will allow for either fewer employees
or more contracts throughout the year. If the estimate cost of
a machine is $2,000, four child nodes and a master node result
in a total cost of $10,000. This is only slightly less than the total
cost saved, but this is a one-time cost. The next time a project
uses these nodes the purchase costs are not incurred. The
same costs saved would be true for a software company. They
would be spending less on each project and they would be
saving time being able to deliver software sooner.
How to Use CI in QA
Integrate with Development Team
The CI system should be set up to poll for changes in the
development team’s project. When code is committed, the
jobs will start running as desired. Integrating the code and
immediately running smoke tests will let the development team
know that its project is testable and they are free to continue
their work, passing the build off to QA.
Manual CI
Billing Rate $85 $85
Smoke Testing 10 0
Regression Testing 10 0
Performance Testing 10 0
Smoke Testing 10 0
Smoke Testing 10 0
One-Time Costs
Manual Hours per Week
Total
Project Length - 26 Weeks
CI Setup &
Stabilization
$0 $3400
$0 $3400
One-Time Purchase of Five Nodes
Total $18,700 $5,610
Total Cost* $486,200 $149,260
Total $0 $10,000
CI Savings Over 26 Weeks
Total $326,940
Table 1 - CI Cost Savings Table 1 Notes
All calculations, numbers & results are theoretical
* Total project cost is based on the following equation:
One-Time Cost Total = Manual Hours per Week Cost Total x
Project Length
†† CI Total Cost - Manual Total Cost
6. 6 | The Importance of Continuous Integration for Quality Assurance Teams
know that its project is testable and they are free to continue
their work, passing the build off to QA.
Separate Automation Repository and
Development Repository
An automation framework should be treated as a software
development project; it should have its own repository for
code and build jobs. If the changes pass, the automation tests
should be run as well. The tests would show whether or not
the changes affected the stability of the automation framework.
Having separate build jobs would also remove false negative
results by eliminating confusion as to whether the development
project is broken or the automation framework is broken.
Multiple Nodes with Multiple
Configurations
In order to take full advantage of a CI system, all configurations
must be present while creating nodes. If the end-user has the
requirements of working on two browsers, there must be nodes
with at least those two browsers covered. If the end-user
requires the program to work on Windows 7 and Windows 8, a
minimum of 2GB of RAM, and 32-bit and 64-bit, there should at
least four nodes all with different configurations. (Table 2)
The more nodes present, the faster the throughput will be if
the tests are run in parallel. This guarantees that all automated
tests are run across all required configurations, taking the same
time as testing one configuration on one node. Compare this
to manual testing; testing everything on all configurations is
difficult and time consuming.
Smoke Test Each Build
Every time a new build is deployed, it should always be smoke
tested. This is true for both manual testing and automating
the process. Developers are able to if their build is testable
or if they need to revert their code changes and make some
quick fixes. Time is saved by having the CI system do the smoke
testing, freeing individuals to work on other parts of the build.
What Types of Tests Should Be Run in CI
The great thing about a CI system is that any test that can be
automated can be run. Knowing this, smoke, regression, load,
stress, and performance tests should all be run. Smoke and
regression tests may include any type of tests, such as database
or UI automated tests.
Use the Results to Create Bugs
A CI system can find bugs without human interaction; however
these bugs may not be properly reported. An individual needs
to investigate each failed job. If the failure is a defect, the
individual should log the defect, or make an edit if the CI system
is set up to automatically submit defects.
Use for Planning
Before each planning session, an individual needs to look
back through the CI system’s log in order to help decide how
much time needs to be designated for defect work on the
development team’s side. This helps keep the project on track
avoiding poor time planning to fix defects.
References
1
Martin Fowler
Principles behind the Agile Manifesto
http://www.martinfowler.com/articles/continuousIntegration.html
http://agilemanifesto.org/principles.html
Conclusion
A CI system, with its multiple advantages, is a great addition
to the automation effort on a QA team. A CI system helps
reduce risks, maintains deployable software, generates project
visibility, provides confidence, reduces repetitive manual
processes, and most importantly saves money. Because a CI
setup costs less than the cost of time saved throughout the
project, including a CI system is essential to an automation
effort.
Windows 7
32-bit
Windows 8
32-bit
Windows 8
64-bit
Windows 7
64-bit
Table 2- Suggested Minimum Nodes for Windows 7 &
Windows 8 with 32 & 64 Bit Configurations
7. 7 | The Importance of Continuous Integration for Quality Assurance Teams
Glossary of Terms
Build - A set of activities performed to show the quality of the
source code.
Continuous Integration of CI- A software development system
that ensures code changes are compiled and tested routinely.
Individual - These are members of the team writing code and
committing to a version control.
Job - A designated action controlled by a CI, e.g. Automation
Suite or Static Analysis.
Node - A virtual or physical machine that are reserved
specifically for CI testing.
Private Build - A build performed on an individuals machine.
Results - The visual aspect of the CI; it shows whether or not a
build is passing or failing.
User Interface (UI) - The means by which the user and a
computer system interact, in particular the use of input devices
and software.
Version Control - The management of source code for a team
or project.
About the Author - Aaron Humerickhouse
Aaron Humerickhouse has been an associate QA tester with Magenic since
January 2012. He works closely with QAT leads to ensure that Magenic’s
Adaptive Risk-Based Quality (MARQ) testing standards and guidelines are
ensured on each project. Aaron holds a B.S. in Software Engineering from the
University of Minnesota.
About Magenic
Founded in 1995 by the same technical minds that still run the company,
Magenic focuses on the Microsoft stack and mobile application development.
Visit us at magenic.com or call us at 877.277.1044
to learn more or to engage Magenic today.