Detailed Match Analysis: Day 5 - Match I vs. Match J

The final day of fixtures in Group F promises an exciting conclusion with potential playoff implications:

• Team I Strengths:** Experienced squad with depth in key positions.
• Team J Strengths:** Dynamic youth team with high energy levels.
• davidradcliffe/AgileTestWorkshop<|file_sep|>/README.md # AgileTestWorkshop Agile Testing Workshop Materials <|file_sep|># Test Planning This session introduces test planning from an agile perspective. ## Background Test planning is an essential part of software development. It ensures that appropriate tests are identified at an early stage, that they are executed throughout the development process, and that testing activities are coordinated effectively. However test planning is often misunderstood. In many organizations it is viewed as a document-based activity, rather than an iterative process. The result is that test plans are often completed just before or just after requirements definition, and are rarely updated. They are then used as reference material rather than guides to action. This approach can lead to many problems: * There is often no clear understanding of what needs testing. * The scope of testing tends to be too narrow. * The effort involved in testing is underestimated. * The test plan does not provide guidance on how tests should be conducted. * It may not be clear who should do what. ## Introduction Test planning is an ongoing process. It should start at the beginning of a project, and continue throughout its life cycle. The objective is not to produce a plan but rather to ensure that all stakeholders have a shared understanding of what needs testing, what resources will be needed, and how testing should be conducted. Test planning should be done collaboratively, with input from all stakeholders. It should focus on identifying risks, and ensuring that tests are designed to mitigate these risks effectively. The output of test planning should be a set of test objectives, which can then be used to develop more detailed test cases and test scripts as needed. ## Test Planning in Agile In agile projects, test planning is typically done at each iteration or sprint. The focus is on identifying what needs testing for the upcoming iteration or sprint, and ensuring that tests are designed to mitigate any identified risks effectively. Agile test planning involves: * Identifying risks early in the project * Developing test objectives based on these risks * Designing tests to mitigate these risks * Ensuring that tests are executed throughout the development process ## Test Planning Process The following diagram illustrates the typical steps involved in test planning:  ### Identify Risks The first step in test planning is to identify risks associated with the project. This involves working with stakeholders to understand their concerns and identifying any areas where there may be a higher risk of defects. ### Develop Test Objectives Once risks have been identified, the next step is to develop test objectives based on these risks. These objectives should focus on mitigating the identified risks effectively. ### Design Tests Once test objectives have been defined, the next step is to design tests that will help achieve these objectives. This involves working with developers to understand how they plan to implement features, and designing tests that will help ensure that these features work as expected. ### Execute Tests Once tests have been designed, they need to be executed throughout the development process. This involves working closely with developers to ensure that tests are run regularly, and any defects identified are fixed promptly. ## Conclusion Test planning is an essential part of software development, and should be done collaboratively by all stakeholders. In agile projects, test planning typically takes place at each iteration or sprint, with a focus on identifying risks early in the project, developing test objectives based on these risks, designing tests to mitigate these risks effectively, and ensuring that tests are executed throughout the development process. By following this approach, teams can ensure that their testing activities are focused on mitigating risks effectively, and help deliver high-quality software products. <|repo_name|>davidradcliffe/AgileTestWorkshop<|file_sep|>/Part-4.md # Test Execution & Reporting This session introduces agile approaches for executing tests and reporting results. ## Background In traditional software development models, testing typically occurs after all code has been written. This approach can lead to delays in identifying defects and fixing them before they reach production. Agile methodologies advocate for continuous integration and delivery (CI/CD), where code changes are integrated into a shared repository frequently (e.g., multiple times per day), and automated tests are run against each change to quickly identify defects. One popular CI/CD toolchain includes Jenkins (or another build server), JIRA (or another issue tracker), Selenium (or another automated testing tool), and Git (or another version control system). Jenkins automates building code changes from Git into artifacts (e.g., executables or Docker images), which can then be deployed for testing or production use. Selenium automates running functional UI tests against those artifacts, while JIRA tracks issues found during testing so they can be prioritized and fixed by developers. By integrating these tools together into a CI/CD pipeline, teams can achieve fast feedback loops where defects are quickly identified and fixed before reaching production. This helps reduce time-to-market while improving software quality overall. ## Introduction In agile methodologies like Scrum or Kanban, * Testing occurs continuously throughout each sprint or iteration rather than only at end-of-sprint milestones like traditional waterfall approaches; * Teams self-organize around cross-functional roles such as developers who also perform quality assurance tasks; and * Stakeholders collaborate closely with developers through regular demos or feedback sessions rather than only at formal review meetings late in each release cycle like traditional approaches. As such, * Automated unit tests written by developers play an important role alongside manual exploratory testing performed by quality assurance specialists; * Continuous integration pipelines automatically build code changes from version control systems like Git into artifacts which can then be deployed into environments such as staging servers for further automated regression testing; and * Feedback loops between developers writing code changes and testers running automated/manual exploratory tests become much shorter than traditional waterfall approaches which may take weeks or months before feedback loops close back around again after formal reviews meetings late in each release cycle! ## Test Execution In agile projects, testing is typically done continuously throughout each sprint or iteration. This means that tests should be run frequently – ideally multiple times per day – so that defects can be identified quickly and fixed before they reach production. There are several ways to execute tests in agile projects: * Automated unit tests written by developers using frameworks like JUnit or NUnit; * Automated integration/regression/smoke/breakpoint/end-to-end functional UI acceptance tests using tools like Selenium WebDriver; * Manual exploratory testing performed by quality assurance specialists using tools like BrowserStack Live; and/or * Performance/load/stress/resilience/chaos security penetration/hackathon compliance/static code analysis static code scanning tools like SonarQube or Checkmarx depending on project needs/scope/etc… Automated unit/integration/regression/smoke/breakpoint/end-to-end functional UI acceptance tests should be run frequently via continuous integration pipelines which automatically build code changes from version control systems like Git into artifacts which can then be deployed into environments such as staging servers for further automated regression testing via tools like Selenium WebDriver etc… Manual exploratory testing performed by quality assurance specialists using tools like BrowserStack Live etc…should also occur regularly but less frequently than automated unit/integration/regression/smoke/breakpoint/end-to-end functional UI acceptance tests since manual exploratory testing takes longer but helps catch edge cases/defects missed by automated unit/integration/regression/smoke/breakpoint/end-to-end functional UI acceptance tests etc… Performance/load/stress/resilience/chaos security penetration/hackathon compliance/static code analysis static code scanning tools like SonarQube or Checkmarx etc…should also be run regularly depending on project needs/scope/etc… ## Reporting Results Once defects have been identified through automated/manual exploratory performance/load/stress/resilience/chaos security penetration/hackathon compliance/static code analysis static code scanning etc…tests, they should be reported back into issue tracking systems like JIRA etc…so they can be prioritized assigned addressed by developers etc… Automated/unit/integration/regression/smoke/breakpoint/end-to-end functional UI acceptance/performance/load/stress/resilience/security penetration/hackathon compliance/static code analysis static code scanning/etc…test results should also be reported back into dashboards via tools like Grafana etc…so stakeholders including product owners business analysts QA specialists devs ops engineers etc…can easily see progress status issues blockers etc…over time via interactive graphs charts tables pie charts etc… Automated/unit/integration/regression/smoke/breakpoint/end-to-end functional UI acceptance/performance/load/stress/resilience/security penetration/hackathon compliance/static code analysis static code scanning/etc…test results should also trigger alerts notifications via email Slack Microsoft Teams Microsoft Teams channels PagerDuty Opsgenie VictorOps New Relic Dynatrace Datadog AppDynamics Prometheus Grafana etc…so relevant parties including devs QA specialists product owners business analysts ops engineers etc…can take appropriate action immediately upon discovering defects regressions issues failures errors exceptions timeouts crashes deadlocks resource leaks memory leaks null pointer exceptions out-of-memory errors index out-of-bounds errors divide-by-zero errors stack overflow errors illegal argument exceptions assertion failures assertion violations etc… ## Conclusion In agile projects, testing occurs continuously throughout each sprint or iteration rather than only at end-of-sprint milestones; automated/unit/integration/regression/smoke/breakpoint/end-to-end functional UI acceptance/performance/load/stress/resilience/security penetration/hackathon compliance/static code analysis static code scanning/etc…tests play important roles alongside manual exploratory performance/load/stress/resilience/security penetration/hackathon compliance/static code analysis static code scanning/etc…testing; continuous integration pipelines automate building code changes from version control systems like Git into artifacts which can then be deployed into environments such as staging servers for further automated regression performance/load/stress/resilience/security penetration/hackathon compliance/static code analysis static code scanning/etc…testing; feedback loops between developers writing code changes testers running automated/manual exploratory performance/load/stress/resilience/security penetration/hackathon compliance/static code analysis static code scanning/etc…tests become much shorter than traditional waterfall approaches which may take weeks or months before feedback loops close back around again after formal reviews meetings late in each release cycle; automated/unit/integration/regression/smoke/breakpoint/end-to-end functional UI acceptance/performance/load/stress/resilience/security penetration/hackathon compliance/static code analysis static code scanning/etc…test results along with defects/issues found therein during automated/manual exploratory performance/load/stress/resilience/security penetration/hackathon compliance/static code analysis static code scanning/etc…testing should all get reported back into issue tracking systems dashboards alert/notification systems so relevant parties including devs QA specialists product owners business analysts ops engineers etc…can easily see progress status issues blockers alerts notifications take appropriate action immediately upon discovering defects regressions issues failures errors exceptions timeouts crashes deadlocks resource leaks memory leaks null pointer exceptions out-of-memory errors index out-of-bounds errors divide-by-zero errors stack overflow errors illegal argument exceptions assertion failures assertion violations etc… <|repo_name|>davidradcliffe/AgileTestWorkshop<|file_sep|>/Part-5.md # Exploratory Testing & Heuristics Driven Testing (HDT) Exploratory Testing (ET) focuses on learning about a system while simultaneously designing & executing tests based on insights gained through exploration. Heuristics Driven Testing (HDT) uses heuristics (rules-of-thumb) & creativity-driven techniques e.g., error guessing & ad hoc techniques (based upon personal experience). ## Exploratory Testing (ET) Exploratory Testing focuses on learning about a system while simultaneously designing & executing tests based on insights gained through exploration. **Key Principles:** - Learning: Understand system behavior & identify potential problem areas through exploration & experimentation. - Designing Tests: Based on insights gained from learning phase; aim at uncovering unexpected behavior & validating assumptions about system functionality. - Executing Tests: Perform actual test execution; record findings & adapt approach based on observations made during execution phase. **Benefits:** - Flexibility: Allows testers to adapt quickly based on new information discovered during exploration phase; highly effective when dealing with complex systems where all possible scenarios cannot be predetermined upfront e.g., rapidly changing requirements due date pressure lack complete documentation etc… - Creativity: Encourages creative thinking; testers use intuition experience knowledge domain expertise skills e.g., error guessing ad hoc techniques systematic techniques scenario-based techniques data-driven techniques model