Building the rights Right. Use the concept of continuous validation (hypothesis driven development) to prevent that your automated software development pipeline becomes a vehicle to deliver crap fast and helps you focus on the goals that software should help you achieve
This document discusses using agile acceptance tests (AAT) to improve communication between business, development, and testing teams by moving business rules and requirements into automated tests. AAT involve collaboratively building examples during specification workshops that serve as both requirements and tests. This ensures the software meets customer expectations and focuses development. AAT provide benefits like early detection of gaps, improved understanding across roles, and living documentation of the project.
Achieve Intelligent Test Execution: Strategies for Streamlining Regression Te...DevOps.com
If you ask a business leader which features in a given software release are most critical (and which potential failures keep them up at night), chances are they'll be related to the UI. But with many testing teams spending up to 80% of their time on regression testing, how can you make time for the resource-intensive tests that verify these high business value features? In this webinar, Adam Satterfield will share strategies for optimizing the plan and build phases of a project to eliminate redundancy and free up time for the tests that matter most to the business, including:
The questions you should ask business leaders before the build begins
Why it's critical for testers to give feedback during build output and unit test reviews
How to segment UI tests to focus on validating business-critical features first
Why adopting this approach can turn good test engineers into great ones -- and improve manual testers' technical aptitude
The Essentials Of Test Driven Development Rock Interview
Test Driven Development is the fastest method to get software onto the market. Being one of the most used methods in the present business world, here is why the method is essential.
This topic will focus on how testing should be understood/supported/changed for all levels including customer, executives and development team (Dev, QA…) during adopting Agile methodologies, especially testing mindset. Besides that, this topic could also cover some lessons learnt from some Agile testing practices.
like Google, Improve your Test perception & practices and learn how Test might be a key lever to improve your business.
- Understand the different types of Test
- Best & Worst practices of Test
Test-driven development (TDD) is a software development process that relies on the repetition of short development cycles called red-green-refactor cycles. In TDD, tests are written before code to define desired functionality, and then code is written to pass those tests; this is followed by refactoring. The benefits of TDD include producing code that is robust, well-designed, and with fewer bugs due to comprehensive test coverage. While TDD requires discipline, it helps ensure code works as intended and allows refactoring with confidence that changes don't break existing functionality. Some potential vulnerabilities of TDD are that it may not prevent wrong solutions if requirements are unclear, can be difficult for UI or database-dependent programs
How testers add value to the organization appium confCorina Pip
Testers add value to organizations by participating in requirements definition, technical discussions, and providing input to improve quality and testability. They help ensure requirements are clear and the developed features meet them by testing cases and automated tests. Testers prevent bugs, understand the role of automation in regression testing and fast delivery, and perform security, performance, accessibility, and other types of testing. Overall, testers help organizations achieve quality software and satisfy customers.
Building the rights Right. Use the concept of continuous validation (hypothesis driven development) to prevent that your automated software development pipeline becomes a vehicle to deliver crap fast and helps you focus on the goals that software should help you achieve
This document discusses using agile acceptance tests (AAT) to improve communication between business, development, and testing teams by moving business rules and requirements into automated tests. AAT involve collaboratively building examples during specification workshops that serve as both requirements and tests. This ensures the software meets customer expectations and focuses development. AAT provide benefits like early detection of gaps, improved understanding across roles, and living documentation of the project.
Achieve Intelligent Test Execution: Strategies for Streamlining Regression Te...DevOps.com
If you ask a business leader which features in a given software release are most critical (and which potential failures keep them up at night), chances are they'll be related to the UI. But with many testing teams spending up to 80% of their time on regression testing, how can you make time for the resource-intensive tests that verify these high business value features? In this webinar, Adam Satterfield will share strategies for optimizing the plan and build phases of a project to eliminate redundancy and free up time for the tests that matter most to the business, including:
The questions you should ask business leaders before the build begins
Why it's critical for testers to give feedback during build output and unit test reviews
How to segment UI tests to focus on validating business-critical features first
Why adopting this approach can turn good test engineers into great ones -- and improve manual testers' technical aptitude
The Essentials Of Test Driven Development Rock Interview
Test Driven Development is the fastest method to get software onto the market. Being one of the most used methods in the present business world, here is why the method is essential.
This topic will focus on how testing should be understood/supported/changed for all levels including customer, executives and development team (Dev, QA…) during adopting Agile methodologies, especially testing mindset. Besides that, this topic could also cover some lessons learnt from some Agile testing practices.
like Google, Improve your Test perception & practices and learn how Test might be a key lever to improve your business.
- Understand the different types of Test
- Best & Worst practices of Test
Test-driven development (TDD) is a software development process that relies on the repetition of short development cycles called red-green-refactor cycles. In TDD, tests are written before code to define desired functionality, and then code is written to pass those tests; this is followed by refactoring. The benefits of TDD include producing code that is robust, well-designed, and with fewer bugs due to comprehensive test coverage. While TDD requires discipline, it helps ensure code works as intended and allows refactoring with confidence that changes don't break existing functionality. Some potential vulnerabilities of TDD are that it may not prevent wrong solutions if requirements are unclear, can be difficult for UI or database-dependent programs
How testers add value to the organization appium confCorina Pip
Testers add value to organizations by participating in requirements definition, technical discussions, and providing input to improve quality and testability. They help ensure requirements are clear and the developed features meet them by testing cases and automated tests. Testers prevent bugs, understand the role of automation in regression testing and fast delivery, and perform security, performance, accessibility, and other types of testing. Overall, testers help organizations achieve quality software and satisfy customers.
This document discusses test-driven development (TDD) and unit testing. It defines TDD as a process that involves writing a failing test first, then implementing code to pass that test, and refactoring if needed. Key benefits of TDD and unit testing include reduced bugs, lower maintenance costs, and improved code design. The document provides guidelines for writing good unit tests and emphasizes that tests should be quick, isolated, and answer what behavior was tested and what the expected and actual results were.
The raw number of defects found in a product version is not an adequate measure of the cost of the defects. This presentation explains how to qualify and monetize the cost of these defects throughout the SDLC
This presentation gives you the evidence as to why unit testing works and a process for how to bring it your team as soon as possible. There's a reason why the growth of unit testing, and automated unit testing in particular, has exploded over the past few years. It not only improves your code, it's faster than releasing code without tests. You'll learn: What, exactly, is a unit test?; The 7 reasons why managers love unit testing; and how to change mindset and processes to start unit testing now.
The document discusses test-driven development (TDD) and how it can be used to reduce unnecessary complexity, also known as inventory, in software design. TDD involves writing automated tests before code to articulate requirements and ensure only needed code is written. It promotes designing simple, clear code without duplication through principles like You Aren't Gonna Need It and refactoring code in small, reversible steps. Following TDD principles is claimed to reduce inventory created by excess complexity and allow designs to evolve incrementally based on test feedback.
This is a free module from my course ISTQB CTFL Agile Tester revised to 2014 syllabus. If you need full training feel free to contact me by email (amraldo@hotmail.com) or by mobile (+201223600207).
Test-Driven development; why you should never code without itJad Salhani
This is a deep dive into the TDD world where you will discover how it helps scale the development
process. The talk tackles the business side as well as the technical side of the software development
to accommodate all audiences, i.e; Why you should invest in a testing "department" for example, or
why you should always take a look at your tests when writing code.
There are many tasks that need to be done. But why get bored by doing the exact same series of actions every time? Especially when a machine can do it faster and in a more reliable way! That's what incited us to automate the way we build, test, and deploy apps so we can focus on more creative tasks.
This document discusses agile testing processes. It outlines that agile is an iterative development methodology where requirements evolve through collaboration. It also discusses that testers should be fully integrated team members who participate in planning and requirements analysis. When adopting agile, testing activities like planning, automation, and providing feedback remain the same but are done iteratively in sprints with the whole team responsible for quality.
An overview of agile testing and how to incorporate it into an agile software development process.
From a Webinar by uTest: http://www.utest.com/webinar_agile_testing.htm
The document summarizes best practices for test automation, including:
- Unit tests should be automated as the first step and follow naming conventions.
- Integration and performance tests require grouping, isolation, and handling test data issues.
- UI tests can be automated with Selenium and integrated into the build pipeline.
- Automated test data, code, and plan generation may be useful once a project's structure stabilizes.
- Automation aims to provide transparency, improve skills, and reduce manual work over time through a smarter approach.
The document discusses test driven development (TDD) in an agile environment. It covers topics like the agile manifesto, evolutionary design, TDD steps and philosophy, myths about TDD, test qualities, benefits and costs of TDD, plugins and language support. The author shares their experience with TDD, noting that it improved code quality and refactoring while requiring support from leads to be effective long-term. Acceptance TDD is recommended to ensure shared understanding of what is being built.
This document discusses adapting testing roles and processes to an agile development methodology. It notes that in agile, testers are full team members who participate in planning and requirements analysis from the start of each sprint. Testing activities occur throughout development rather than just at the end. Challenges in transitioning include changing traditional testing roles and resistance to change, while benefits include more transparent communication and continuous feedback between testers and developers. The document provides examples of agile testing practices and recommendations for improving testing efficiency such as increased test automation and planning.
Why Automated Testing Matters To DevOpsdpaulmerrill
“Automated testing is a pain in my ear! Why can’t QA get it right? Why do the tests keep breaking? And for Pete’s sake, stop blaming the infrastructure!”
…Ok, maybe you chose a different word than “ear”.
How often do you have thoughts like this? Daily?
Let’s talk about these frustrations, why they exist and how we can use them to improve our systems!
In this talk, Paul Merrill, founder and Principal Automation Engineer at Beaufort Fairmont explores why automated testing matters to DevOps. Join us to learn how automated testing can be a useful tool in the creation and release of your systems!
Agile Testing - presentation for Agile User Groupsuwalki24.pl
The document discusses agile testing principles and processes. It compares agile testing to waterfall testing and outlines some key differences. It also addresses topics like continuous integration, test automation, managing test cases and issues, and transitioning from waterfall to agile. Pseudo-agile projects are described as those that claim to use agile but lack key elements like automation, continuous integration, or involvement of testers throughout the process.
Looking to move to Continuous Delivery? Worried about the quality of your the code? Helping your developers understand clean-code practices and getting the right testing strategy in place can take a while. What should you do to control the quality of the incoming code till then? This talk shares our experience of using PRRiskAdvisor to gradually educate and influence developers to write better code and also help the code reviewer to be more effective at their reviews.
Every time a developer raises a pull-request, PRRiskAdvisor analyzes the files that were changed and publishes a report on the pull request itself with the overall risk associated with this pull request and also risk associated with each file. It also runs static code analysis using SonarQube and publishes the configured violations as comments on the pull request. This way the reviewer just has to look at the pull request to get a decent idea of what it means to review this pull request. If there are too many violations, then PRRiskAdvisor can also automatically reject the pull request.
By doing this, we saw our developers starting paying more attention to clean code practices and hence the overall quality of the incoming code improved, while we worked on putting the right engineering practices and testing strategy in place.
More details: https://confengine.com/last-conference-canberra-2018/proposal/7294/improving-the-quality-of-incoming-code
Conference Link: https://2019.agileindia.org
Test-driven development (TDD) is a software development process where test cases are developed before code to validate requirements. The TDD process involves repeatedly writing a test, making it fail, then writing code to pass the test and refactoring code. TDD results in code with fewer defects, quicker feedback, and requirements that drive design. Tests cover valid and invalid inputs, errors, boundaries, and everything that could break. TDD improves development cycles, defects, documentation, and competitive advantage for businesses.
This chapter discusses best practices for coding, including avoiding programming by coincidence, estimating algorithm speeds using Big O notation, refactoring code when needed to improve design, writing code that is easy to test with unit tests, and avoiding using code you don't understand from "wizards". It provides tips such as programming deliberately with a plan, testing assumptions, refactoring early and often, designing code to be testable, and understanding all code used. The chapter contains five sections on these topics.
This document summarizes a concise QA and testing process developed for a small startup. It includes protocols for building, testing, managing changes, and releasing software. The build protocol ensures testing receives builds and information about changes. The test cycle protocol defines different types of testing cycles. The change protocol establishes feature freezes and code freezes to control changes late in development. The release protocol details the release approval and packaging process.
Project delivery spans the entire lifecycle, from idea to customer and market approval. It involves everyone across the enterprise working together with a shared understanding of how the product should solve customer problems and satisfy needs.
The document discusses how agile development and continuous deployment disrupt traditional functional testing processes. It describes how testing practices have evolved from waterfall development with long release cycles to frequent daily releases. This requires testing to be more automated, with practices like acceptance testing driven development (ATDD) where testing defines requirements and drives the engineering process. It presents a cloud-based platform for ATDD that supports collaboration and test management integration.
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.
Test-driven development (TDD) is a software development technique where unit tests are written before code to define desired functionality. Writing tests first helps produce code with better design, lower maintenance costs, and fewer bugs. Key principles of TDD include writing code only to pass failing tests and eliminating duplication. Benefits include better test coverage, easier refactoring, and preventing regressions. TDD helps developers act as users to define behavior through interactions between system components.
This document discusses test-driven development (TDD) and unit testing. It defines TDD as a process that involves writing a failing test first, then implementing code to pass that test, and refactoring if needed. Key benefits of TDD and unit testing include reduced bugs, lower maintenance costs, and improved code design. The document provides guidelines for writing good unit tests and emphasizes that tests should be quick, isolated, and answer what behavior was tested and what the expected and actual results were.
The raw number of defects found in a product version is not an adequate measure of the cost of the defects. This presentation explains how to qualify and monetize the cost of these defects throughout the SDLC
This presentation gives you the evidence as to why unit testing works and a process for how to bring it your team as soon as possible. There's a reason why the growth of unit testing, and automated unit testing in particular, has exploded over the past few years. It not only improves your code, it's faster than releasing code without tests. You'll learn: What, exactly, is a unit test?; The 7 reasons why managers love unit testing; and how to change mindset and processes to start unit testing now.
The document discusses test-driven development (TDD) and how it can be used to reduce unnecessary complexity, also known as inventory, in software design. TDD involves writing automated tests before code to articulate requirements and ensure only needed code is written. It promotes designing simple, clear code without duplication through principles like You Aren't Gonna Need It and refactoring code in small, reversible steps. Following TDD principles is claimed to reduce inventory created by excess complexity and allow designs to evolve incrementally based on test feedback.
This is a free module from my course ISTQB CTFL Agile Tester revised to 2014 syllabus. If you need full training feel free to contact me by email (amraldo@hotmail.com) or by mobile (+201223600207).
Test-Driven development; why you should never code without itJad Salhani
This is a deep dive into the TDD world where you will discover how it helps scale the development
process. The talk tackles the business side as well as the technical side of the software development
to accommodate all audiences, i.e; Why you should invest in a testing "department" for example, or
why you should always take a look at your tests when writing code.
There are many tasks that need to be done. But why get bored by doing the exact same series of actions every time? Especially when a machine can do it faster and in a more reliable way! That's what incited us to automate the way we build, test, and deploy apps so we can focus on more creative tasks.
This document discusses agile testing processes. It outlines that agile is an iterative development methodology where requirements evolve through collaboration. It also discusses that testers should be fully integrated team members who participate in planning and requirements analysis. When adopting agile, testing activities like planning, automation, and providing feedback remain the same but are done iteratively in sprints with the whole team responsible for quality.
An overview of agile testing and how to incorporate it into an agile software development process.
From a Webinar by uTest: http://www.utest.com/webinar_agile_testing.htm
The document summarizes best practices for test automation, including:
- Unit tests should be automated as the first step and follow naming conventions.
- Integration and performance tests require grouping, isolation, and handling test data issues.
- UI tests can be automated with Selenium and integrated into the build pipeline.
- Automated test data, code, and plan generation may be useful once a project's structure stabilizes.
- Automation aims to provide transparency, improve skills, and reduce manual work over time through a smarter approach.
The document discusses test driven development (TDD) in an agile environment. It covers topics like the agile manifesto, evolutionary design, TDD steps and philosophy, myths about TDD, test qualities, benefits and costs of TDD, plugins and language support. The author shares their experience with TDD, noting that it improved code quality and refactoring while requiring support from leads to be effective long-term. Acceptance TDD is recommended to ensure shared understanding of what is being built.
This document discusses adapting testing roles and processes to an agile development methodology. It notes that in agile, testers are full team members who participate in planning and requirements analysis from the start of each sprint. Testing activities occur throughout development rather than just at the end. Challenges in transitioning include changing traditional testing roles and resistance to change, while benefits include more transparent communication and continuous feedback between testers and developers. The document provides examples of agile testing practices and recommendations for improving testing efficiency such as increased test automation and planning.
Why Automated Testing Matters To DevOpsdpaulmerrill
“Automated testing is a pain in my ear! Why can’t QA get it right? Why do the tests keep breaking? And for Pete’s sake, stop blaming the infrastructure!”
…Ok, maybe you chose a different word than “ear”.
How often do you have thoughts like this? Daily?
Let’s talk about these frustrations, why they exist and how we can use them to improve our systems!
In this talk, Paul Merrill, founder and Principal Automation Engineer at Beaufort Fairmont explores why automated testing matters to DevOps. Join us to learn how automated testing can be a useful tool in the creation and release of your systems!
Agile Testing - presentation for Agile User Groupsuwalki24.pl
The document discusses agile testing principles and processes. It compares agile testing to waterfall testing and outlines some key differences. It also addresses topics like continuous integration, test automation, managing test cases and issues, and transitioning from waterfall to agile. Pseudo-agile projects are described as those that claim to use agile but lack key elements like automation, continuous integration, or involvement of testers throughout the process.
Looking to move to Continuous Delivery? Worried about the quality of your the code? Helping your developers understand clean-code practices and getting the right testing strategy in place can take a while. What should you do to control the quality of the incoming code till then? This talk shares our experience of using PRRiskAdvisor to gradually educate and influence developers to write better code and also help the code reviewer to be more effective at their reviews.
Every time a developer raises a pull-request, PRRiskAdvisor analyzes the files that were changed and publishes a report on the pull request itself with the overall risk associated with this pull request and also risk associated with each file. It also runs static code analysis using SonarQube and publishes the configured violations as comments on the pull request. This way the reviewer just has to look at the pull request to get a decent idea of what it means to review this pull request. If there are too many violations, then PRRiskAdvisor can also automatically reject the pull request.
By doing this, we saw our developers starting paying more attention to clean code practices and hence the overall quality of the incoming code improved, while we worked on putting the right engineering practices and testing strategy in place.
More details: https://confengine.com/last-conference-canberra-2018/proposal/7294/improving-the-quality-of-incoming-code
Conference Link: https://2019.agileindia.org
Test-driven development (TDD) is a software development process where test cases are developed before code to validate requirements. The TDD process involves repeatedly writing a test, making it fail, then writing code to pass the test and refactoring code. TDD results in code with fewer defects, quicker feedback, and requirements that drive design. Tests cover valid and invalid inputs, errors, boundaries, and everything that could break. TDD improves development cycles, defects, documentation, and competitive advantage for businesses.
This chapter discusses best practices for coding, including avoiding programming by coincidence, estimating algorithm speeds using Big O notation, refactoring code when needed to improve design, writing code that is easy to test with unit tests, and avoiding using code you don't understand from "wizards". It provides tips such as programming deliberately with a plan, testing assumptions, refactoring early and often, designing code to be testable, and understanding all code used. The chapter contains five sections on these topics.
This document summarizes a concise QA and testing process developed for a small startup. It includes protocols for building, testing, managing changes, and releasing software. The build protocol ensures testing receives builds and information about changes. The test cycle protocol defines different types of testing cycles. The change protocol establishes feature freezes and code freezes to control changes late in development. The release protocol details the release approval and packaging process.
Project delivery spans the entire lifecycle, from idea to customer and market approval. It involves everyone across the enterprise working together with a shared understanding of how the product should solve customer problems and satisfy needs.
The document discusses how agile development and continuous deployment disrupt traditional functional testing processes. It describes how testing practices have evolved from waterfall development with long release cycles to frequent daily releases. This requires testing to be more automated, with practices like acceptance testing driven development (ATDD) where testing defines requirements and drives the engineering process. It presents a cloud-based platform for ATDD that supports collaboration and test management integration.
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.
Test-driven development (TDD) is a software development technique where unit tests are written before code to define desired functionality. Writing tests first helps produce code with better design, lower maintenance costs, and fewer bugs. Key principles of TDD include writing code only to pass failing tests and eliminating duplication. Benefits include better test coverage, easier refactoring, and preventing regressions. TDD helps developers act as users to define behavior through interactions between system components.
This document discusses software coding standards and testing. It includes four lessons:
Lesson One discusses coding standards, which define programming style through rules for formatting source code. Coding standards help make code more readable, maintainable, and reduce costs. Common aspects of coding standards include naming conventions and formatting.
Lesson Two discusses software testing strategies and principles. Testing strategies provide a plan for defining the testing approach. Common strategies include analytic, model-based, and methodical testing. Key principles of testing include showing presence of defects, early testing, and that exhaustive testing is impossible.
Lesson Three discusses software testing approaches and types but does not provide details.
Lesson Four discusses alpha and beta testing as
Combinatorial testing can significantly reduce the number of tests needed to cover all variable combinations by focusing on pairwise combinations. The document discusses pairwise testing, which aims to test all combinations of each pair of input parameters. This catches a high percentage of errors while dramatically reducing the number of required test cases. Tools like PICT can automatically generate optimal pairwise test suites. The document provides an example showing PICT reducing 96 potential test cases for a car ordering application down to just 8 test cases.
The document discusses predictions for the future of testing and QA. It predicts that test automation will significantly increase from 31% currently to become a major part of the QA process. It also predicts that testing responsibilities will move earlier in the development cycle, with more testing by developers and end users. Requirements testing will also improve with automation and new technologies that provide 100% test coverage and automatically generate test cases.
The document discusses predictions for the future of testing and QA. It predicts that test automation will significantly increase from 31% currently to become a major part of the QA process. It also predicts that testing responsibilities will move earlier in the development cycle, with more testing by developers and end users. Requirements testing will also improve with automation and new technologies that provide 100% test coverage and automatically generate test cases.
Build And Test Automation - Shortening the Feedback LoopRally Software
Agile teams embrace build and test automation to shorten the time between coding and testing feedback, gain productivity leverage, and lower the cost of change.
Explore the automation practices that Agile teams adopt.
Behavior Driven Development—A Guide to Agile Practices by Josh EastmanQA or the Highway
The document discusses Behavior Driven Development (BDD) and how it can help increase quality and prepare an organization for increased business demands. It describes BDD as an industry practice where the whole team collaborates on system testing and definition of done. BDD promotes requirements using examples, collaboration between roles, finding defects earlier and more often through automation, and keeping technical debt low.
5 Steps to Jump Start Your Test AutomationSauce Labs
With the acceleration of software creation and delivery, test activities must align to the new tempo. Developers need immediate feedback to be efficient and correct defects as those are introduced. The path to achieving this vision is to build a reliable and scalable continuous test solution.
All beginnings are hard. Having a well-defined plan outlining the approach for your organization to create test automation is key to ensure long term success. Join Diego Molina, Senior Software Engineer at Sauce Labs as he discusses:
The importance of setting up the team correctly from the start
Choosing the right Testing Framework for your organization
Identifying the right scenarios and workflows to test
Learning to avoid common pitfalls at the beginning of the transformation journey
Everything You Need to Know About Regression Testing Automation.pdfRohitBhandari66
As software applications grow larger and more complex, comprehensive regression testing is essential to ensure existing functionality remains intact through ongoing enhancements and fixes. But lengthy manual testing efforts struggle to keep up with accelerating release cycles. This is where regression testing automation delivers game-changing benefits. Automating regression tests provides fast feedback on code changes, expands test coverage, and improves software quality.
This document discusses best practices for developing an automated testing framework. It recommends using a hybrid keyword-driven and data-driven approach to reduce scripting efforts. Some key points covered include the benefits of automation like reduced costs and increased speed/accuracy over manual testing. It also discusses factors to consider when selecting an automation tool, common challenges, and provides an example case study showing the ROI achieved through automation. Best practices emphasized include loose coupling of framework components, reuse of generic libraries, and treating framework development as a distinct project.
The document discusses various types of software testing. It defines software testing as executing a program to find bugs and ensure it meets requirements. There are different types of tests like unit, integration, system, and acceptance. Unit tests check individual code units work as intended. Integration tests check multiple units work together. System tests check the full application in a production environment. Acceptance tests check the software meets business needs. The document emphasizes the importance of testing for quality, flexibility, and avoiding expensive failures. Thorough testing helps ensure customer satisfaction and business success.
Automating The Process For Building Reliable Softwareguest8861ff
This document discusses automating the software testing process to improve reliability. It notes that manual testing is time-consuming and error-prone, taking up 50% of software budgets. Automating unit testing, integration testing, code coverage analysis, traceability between tests and requirements, and regression testing can help address these issues. Test-driven development is presented as a philosophy that involves writing tests before code, improving quality and reducing costs by finding defects earlier. Automated tools can generate test harnesses, measure coverage, and link tests to requirements and code.
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.
The key to a successful project is being able to quickly and effectively identify the quality of the application under test
For a multi-shore project this can be achieved with automation and test frameworks, an agile integrated testing model, and visibility and communication across the process.
The document discusses key aspects of successful test automation including:
1. Applying a software development process to automation to improve reliability and maintainability.
2. Improving testing processes with robust manual testing and defect management before automating.
3. Clearly defining requirements for what to automate and goals of the automation effort.
Test-driven development (TDD) is a software development process that relies on the repetition of a short development cycle of requirements, design, and coding. It promotes writing tests before writing code (test-first design) and helps improve code quality by reducing defects. The TDD cycle involves writing an automated test, running the test and seeing it fail, writing the minimum amount of code to pass the test, and refactoring the code as needed. TDD brings benefits like clarifying requirements, adding executable documentation, and detecting errors early. Acceptance TDD involves automating acceptance tests to define and validate requirements. It helps establish a definition of done and improves team collaboration.
This document discusses Test Driven Development (TDD). It defines TDD, outlines the TDD process which involves writing tests first and then code to pass the tests, and emphasizes refactoring. Benefits of TDD include improved code quality, reduced bugs, and serving as documentation. Key TDD terms and libraries like JUnit and Mockito are explained. Continuous Integration (CI) is also discussed as it automates testing and builds when code is committed.
The document summarizes a presentation on transforming manual testing processes to incorporate test automation. It discusses automation models and frameworks, incorporating automation into standard testing processes, typical test activities and deliverables for agile and waterfall SDLCs. It provides a deep dive into testing artifacts and how to better plan for automation. It also presents a case study where a command-driven testing framework was adopted to help automate manual testing processes and limit concurrent work by testers on the same templates. The presentation aims to provide best practices for planning and implementing test automation.
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Découvrez les dernières innovations de Neo4j, et notamment les dernières intégrations cloud et les améliorations produits qui font de Neo4j un choix essentiel pour les développeurs qui créent des applications avec des données interconnectées et de l’IA générative.
Odoo ERP software
Odoo ERP software, a leading open-source software for Enterprise Resource Planning (ERP) and business management, has recently launched its latest version, Odoo 17 Community Edition. This update introduces a range of new features and enhancements designed to streamline business operations and support growth.
The Odoo Community serves as a cost-free edition within the Odoo suite of ERP systems. Tailored to accommodate the standard needs of business operations, it provides a robust platform suitable for organisations of different sizes and business sectors. Within the Odoo Community Edition, users can access a variety of essential features and services essential for managing day-to-day tasks efficiently.
This blog presents a detailed overview of the features available within the Odoo 17 Community edition, and the differences between Odoo 17 community and enterprise editions, aiming to equip you with the necessary information to make an informed decision about its suitability for your business.
Neo4j - Product Vision and Knowledge Graphs - GraphSummit ParisNeo4j
Dr. Jesús Barrasa, Head of Solutions Architecture for EMEA, Neo4j
Découvrez les dernières innovations de Neo4j, et notamment les dernières intégrations cloud et les améliorations produits qui font de Neo4j un choix essentiel pour les développeurs qui créent des applications avec des données interconnectées et de l’IA générative.
Artificia Intellicence and XPath Extension FunctionsOctavian Nadolu
The purpose of this presentation is to provide an overview of how you can use AI from XSLT, XQuery, Schematron, or XML Refactoring operations, the potential benefits of using AI, and some of the challenges we face.
SOCRadar's Aviation Industry Q1 Incident Report is out now!
The aviation industry has always been a prime target for cybercriminals due to its critical infrastructure and high stakes. In the first quarter of 2024, the sector faced an alarming surge in cybersecurity threats, revealing its vulnerabilities and the relentless sophistication of cyber attackers.
SOCRadar’s Aviation Industry, Quarterly Incident Report, provides an in-depth analysis of these threats, detected and examined through our extensive monitoring of hacker forums, Telegram channels, and dark web platforms.
SMS API Integration in Saudi Arabia| Best SMS API ServiceYara Milbes
Discover the benefits and implementation of SMS API integration in the UAE and Middle East. This comprehensive guide covers the importance of SMS messaging APIs, the advantages of bulk SMS APIs, and real-world case studies. Learn how CEQUENS, a leader in communication solutions, can help your business enhance customer engagement and streamline operations with innovative CPaaS, reliable SMS APIs, and omnichannel solutions, including WhatsApp Business. Perfect for businesses seeking to optimize their communication strategies in the digital age.
Most important New features of Oracle 23c for DBAs and Developers. You can get more idea from my youtube channel video from https://youtu.be/XvL5WtaC20A
DDS Security Version 1.2 was adopted in 2024. This revision strengthens support for long runnings systems adding new cryptographic algorithms, certificate revocation, and hardness against DoS attacks.
Transform Your Communication with Cloud-Based IVR SolutionsTheSMSPoint
Discover the power of Cloud-Based IVR Solutions to streamline communication processes. Embrace scalability and cost-efficiency while enhancing customer experiences with features like automated call routing and voice recognition. Accessible from anywhere, these solutions integrate seamlessly with existing systems, providing real-time analytics for continuous improvement. Revolutionize your communication strategy today with Cloud-Based IVR Solutions. Learn more at: https://thesmspoint.com/channel/cloud-telephony
UI5con 2024 - Boost Your Development Experience with UI5 Tooling ExtensionsPeter Muessig
The UI5 tooling is the development and build tooling of UI5. It is built in a modular and extensible way so that it can be easily extended by your needs. This session will showcase various tooling extensions which can boost your development experience by far so that you can really work offline, transpile your code in your project to use even newer versions of EcmaScript (than 2022 which is supported right now by the UI5 tooling), consume any npm package of your choice in your project, using different kind of proxies, and even stitching UI5 projects during development together to mimic your target environment.
8 Best Automated Android App Testing Tool and Framework in 2024.pdfkalichargn70th171
Regarding mobile operating systems, two major players dominate our thoughts: Android and iPhone. With Android leading the market, software development companies are focused on delivering apps compatible with this OS. Ensuring an app's functionality across various Android devices, OS versions, and hardware specifications is critical, making Android app testing essential.
Hand Rolled Applicative User ValidationCode KataPhilip Schwarz
Could you use a simple piece of Scala validation code (granted, a very simplistic one too!) that you can rewrite, now and again, to refresh your basic understanding of Applicative operators <*>, <*, *>?
The goal is not to write perfect code showcasing validation, but rather, to provide a small, rough-and ready exercise to reinforce your muscle-memory.
Despite its grandiose-sounding title, this deck consists of just three slides showing the Scala 3 code to be rewritten whenever the details of the operators begin to fade away.
The code is my rough and ready translation of a Haskell user-validation program found in a book called Finding Success (and Failure) in Haskell - Fall in love with applicative functors.
GraphSummit Paris - The art of the possible with Graph TechnologyNeo4j
Sudhir Hasbe, Chief Product Officer, Neo4j
Join us as we explore breakthrough innovations enabled by interconnected data and AI. Discover firsthand how organizations use relationships in data to uncover contextual insights and solve our most pressing challenges – from optimizing supply chains, detecting fraud, and improving customer experiences to accelerating drug discoveries.
5. Code is value
Every line of code should be focused on delivering
value as soon as possible. This means the code
should be delivered to the end-user within the smallest
time window possible.
5
Why continuous delivery
6. Small increments
Take small steps that can be released more often,
instead of big steps that have a high risk of failing.
6
Why continuous delivery
7. Higher quality & quality build in
Automation makes process more reliable, instead of
having a human making mistakes automation needs to
be setup once right instead.
7
Why continuous delivery
8. Faster time to market
Software only makes money in production, this can
only be done with a strategy that delivers software
automatically as fast as possible. Reliable delivery is
key here.
8
Why continuous delivery
9. Faster feedback
Almost know instantly if the software has defects and
get notified on these defects.
9
Why continuous delivery
10. Chain of trust
Every step/test will add (automatically) add trust to a
version of a application.
10
Why continuous delivery
12. End-user should not experience defects
End-users who experience defects in a production
environment will loose confidence in the product. Trust
is key in making or saving money with software.
12
Why (automatic) testing
13. Find defects early
How sooner a defect is found how cheaper it will be to
fix it. A defect in production can have severe cost and
cause reputation damages.
13
Why (automatic) testing
14. Documentation
Tests descriptions and results are great ways to
document how the system supposed to work.
Automation can give the ability to create this
completely automatically.
14
Why (automatic) testing
15. Ready for refactoring
Having a automated test setup gives confidence to
refactor and find regression problems when changing
the software.
15
Why (automatic) testing
16. Performance
Being able to say something about how the system is
going to performance under certain loads instead of
finding it out by end-users.
16
Why (automatic) testing
17. Security
Find security problems in early stage. Security
problems can lead up to penalties and reputation
damages.
17
Why (automatic) testing
19. Automate everything
Automation is a great way to eliminate unnecessary
manual repetitions. Run all tests with a minimal set of
commands.
19
CI/CD testing strategy
20. Code and version everything
Writing tests as code offers a great way to collaborate
as a team, because code can be versioned, reviewed
and changed by multiple versions.
20
CI/CD testing strategy
21. Adopt TDD strategy
Write tests before writing code. This helps to get a
better understanding of the problem, and code is
covered by test before being written.
21
CI/CD testing strategy
22. Align
Choose a test framework that aligns with the solution
being build. For example choose the same
programming language for application and tests.
22
CI/CD testing strategy
23. Automate documentation
Every step that runs test should create documentation
automatically, use, share and distribute this
documentation in a automated fashion.
23
CI/CD testing strategy
24. Fail fast – fail early
Validate if every condition is met before starting
‘expensive’ tests. For example see if application is
available or there is enough disk space.
24
CI/CD testing strategy
26. Test pyramid
Use the testing pyramid for a fast but complete test
setup. Try to cover almost everything with ‘cheap’ unit
tests and only do ’expensive’ the necessary
functional/acceptance tests.
26
Functional testing strategy
27. Unit testing
One unit tests should focus a single atomic part of the
application in a certain state. (good practice is one
assert per test). Execute thousands per second and
use a TDD approach.
27
Functional testing strategy
28. Mutation testing
To validate the validity of unit test use mutation testing.
See if tests fail when a line of code is changed. Will
prove the strength of the unit tests.
28
Functional testing strategy
29. Property based testing
Instead of example use properties to validate. For
example everything in a range is true. This will validate
the range.
29
Functional testing strategy
31. Contract testing
Validate if interfaces are compliant on the server and
on the client side. Share documentation about
assumptions of a API. Use PACT for example.
31
Functional testing strategy
32. Functional / Acceptance testing
Describe on a high level assumptions how to end-user
will interact with the system. Use a language that can
be understood by machine and humans.
32
Functional testing strategy
33. Manual testing
Only focus manual testing on things that are hard to
understand for a computer. For example does look
right and does the response feels right.
33
Functional testing strategy
35. Security testing
Based on known security issues try to break the
application.
35
Non functional testing strategy
36. Performance testing
Find the limits, normal behavior, stress behavior and
sizing for the application. Works great by adopting a
cloud strategy.
36
Non functional testing strategy