ISTQB Certified Tester - Foundation Level latest Version

See how testing aligns with the software development life cycle, from planning and analysis to design, implementation, deployment, and maintenance, including TDD, ATDD, BDD, and Scrum.

Explore how testing integrates with the SDLC, contrasting sequential and iterative models, and applying static and dynamic testing, regression testing, and test planning.

Explore the software development lifecycle and good testing practices, detailing unit, integration, system, and acceptance testing within a quality-controlled process that emphasizes analysis, design, and early testing.

Examine how testing drives software development through TDD, BDD, and ATDD, guiding code with tests, embracing shift-left in agile, and using scenario-based tests with cucumber.

Explore how DevOps integrates development, testing, and operations to accelerate delivery through automation, pipelines, and continuous integration, covering regression testing, non-functional testing, and production readiness.

Adopt a shift-left approach by performing early testing throughout the SDLC, writing tests before code, and using CI/CD with fast feedback and automated component and non-functional testing.

Explore how retrospectives drive process improvement within agile frameworks, detailing sprint planning, daily standups, sprint reviews, backlog priorities, and roles like scrum master, product owner, and developers.

Explore test levels and types, from unit and component testing to integration and system testing, including non-functional, security, and acceptance testing, with alpha and beta testing.

Cover functional and non-functional testing, black box and white box methods, and test the system's input and output with emphasis on security, performance, usability, reliability, and documentation-based testing.

Confirmation testing verifies that a defect is fixed and its effects, then regression testing re-runs failed cases or adds tests to cover changes, ensuring no adverse effects after updates.

Explore maintenance testing concepts, including regression testing, defining the scope and risks of maintaining an existing system, handling upgrades or migrations, and data archiving and retention for retirement scenarios.

Explore static testing basics, including static analysis tools, reviews, inspections, verification versus validation, and the role of static testing in DevOps and continuous integration.

Explore how work products are examinable by static testing and static analysis, including test cases, documentation, tools, and review in development and test-driven development contexts.

Evaluate static testing and static analysis within the SDLC, contrast early static testing with dynamic testing on code and plans, and boost stakeholder confidence while managing costs.

Explore the differences between static and dynamic testing, including how static testing, dynamic testing, and root-cause analysis uncover defects and guide debugging on mobile and code.

Explore how early and frequent stakeholder feedback enables early communication of potential quality problems and informs defects, requirements, static testing, and review planning.

Engage in the review process activities, including planning, initiation, and static testing, conducting individual and group reviews, communicating analyses, and reporting defects to verify exit criteria and quality characteristics.

Identify roles and responsibilities in reviews, including manager, author, reviewers, moderator, scribe, and subject matter expert, and outline resources, documentation, feedback, and mediation. Explore informal walkthroughs, inspections, and technical reviews.

Explore informal, formal, technical reviews, and inspections, and how roles like moderator, review leader, and scribe help gain consensus, identify defects, and fix issues.

Identify success factors for reviews, including technical inspection walkthroughs and reviews in small chunks, with feedback to stakeholders and authors, plus preparation time, management support, and training to embed reviews.

Explore black-box and white-box testing techniques, including equivalence partitioning, boundary value analysis, and decision tables with state transitions, and how test analysis, design, and execution support system behavior testing.

Explore equivalence partitioning as a black-box testing technique that divides data into valid and invalid partitions, guiding consistent test case generation for android applications showing tv shows.

Apply equivalence partitioning and boundary analysis to identify valid and invalid input classes across forms, devices, and domain rules, and to determine effective test coverage.

Explore boundary value analysis and equivalence class partitioning, and learn how to design effective boundary-focused test cases using multiple boundary value analysis patterns.

Explore decision table testing: map conditions to rules and actions to define system outputs, then build test cases and scenarios to validate rule combinations.

Explore state transition testing through state diagrams and tables, ensuring all states and valid transitions are exercised while handling invalid transitions, with examples from login and account scenarios.

Explore how white box testing uses statement testing to achieve statement coverage and decision coverage in the ISTQB foundation level, guiding test case design and evaluation of executable statements.

Define branch testing and branch coverage, compare to statement coverage and decision coverage, and explain how test cases exercise branches and decisions in white-box testing.

White-box testing accounts for the entire software implementation across the SDLC using static testing and dry runs. It yields code-coverage metrics to guide extra tests and contrasts with black-box testing.

Explore error guessing, a black box testing technique that uses past defects and expert knowledge to anticipate errors, design tests, and reveal defects in applications.

Explore exploratory testing and session-based testing by crafting test charters, defining environments, and using templates to guide browser-based checks.

Explore checklist-based testing, focusing on entry and exit criteria, test items framed as questions, and coverage of functional and non-functional testing including security.

Explore collaborative user story writing within ISTQB Foundation Level, detailing user story creation, registration flows, login, email verification, and acceptance criteria through test cases and scenario-based testing.

Explore acceptance criteria and acceptance test driven development through user story scenarios, including refund rules for premiums on cancellations, email confirmations, and rule oriented appointment requests.

Define the test plan objectives, resources, and schedule, coordinating manual and automated testing for login functionality while aligning with policy, strategy, risk management, and progress tracked in Trello.

Discover how testers contribute to iteration and release planning by mapping user stories to test requirements, defining entry and exit criteria, and guiding functional, non-functional, and security testing.

Identify entry criteria and exit criteria for software testing, including smoke tests, test cases, and requirements. Assess defects, defect density, regression testing, and static testing to evaluate test outcomes.

Explore estimation techniques including Delphi, wideband Delphi, and planning poker, plus three-point estimation, to forecast development and test effort using ratio-based and iteration-based methods.

Prioritize test cases using risk-based analysis and a traceability matrix that traces requirements to tests, executing high-priority scenarios first and considering resource availability.

Explore the test pyramid and how unit, integration, and end-to-end tests differ in granularity and scope, from isolated login and sign-up components to full checkout flows.

Explore the ISTQB testing quadrants, mapping automated and manual tests across technology- and business-facing concerns, from unit and component tests to usability, API, and non-functional testing with CI integration.

Explore the definition and attributes of risk, including how likelihood and impact determine risk level, with a mobile app security breach example and calculating risk as likelihood multiplied by impact.

Identify and manage project risks such as organizational issues, delays, and scope creep; assess product risks like missing functionality and security, and understand their impact on schedule.

Learn product risk analysis from identification, assessment, and mitigation, using brainstorming and a risk matrix to minimize residual risk and guide testing scope in the SDLC.

Understand product risk control through risk mitigation and monitoring, risk assessment actions, and independent testing to validate mitigation with static analysis, dynamic testing, and white box versus black box approaches.

Explore metrics used in testing to track progress against schedule and budget, including test execution, defect density, risk matrices, coverage, and product quality measures like website availability and response time.

Explore the purpose, content, and audience of test reports, including progress and completion reports, and how they communicate status to inform test schedule, risk, and planning.

Communicate the status of testing through dashboards and formal reports. Align with an organizational test strategy and self-organizing teams, using email, chat, or Slack for communication.

Explore configuration management for testing by detailing configuration items, baselines, change control, and traceability across test plans, test cases, scripts, and results.

Understand defect management in the software development lifecycle: log, analyze, classify, decide on fixes, and close defect reports, with examples of bug reports, severity, priority, and status.

Explore tool support for testing, including test management with Jira, static analysis with Sonar, browser and mobile testing with BrowserStack and Appium, and automated test execution in CI/CD pipelines.

Assess the benefits and risks of test automation, including time savings, regression reduction, and objective assessments, with metrics on progress, defect rates, and earlier defect detection.