Unleash the power of acceptance testing as a pivotal tool for requirement specification, automation, and enhancing the quality of software systems. In this course, you will discover how to express new software ideas and functionalities comprehensively for both business and developers. Transition from expensive manual testing to resilient automated acceptance tests that withstand system and environment fluctuations.
Key Learning Objectives
Learn from the expertise of Dave Farley and explore examples from renowned, large-scale projects that set the industry standard. The course illustrates the process of crafting acceptance tests as executable specifications using the BDD (Behavior-Driven Development) methodology for accurate description of system behavior.
Modern Features of Acceptance Testing
A highlighted topic in the course is "Acceptance Testing as a Programming Language for AI". You will uncover how meticulously designed acceptance tests, along with the Domain-Specific Language (DSL) approach, can vastly enhance the quality of AI-generated code, and how to utilize these specifications as precise, repeatable prompts.
Course Curriculum
- The purpose of acceptance tests and the most effective tools and techniques to use.
- Strategies to avoid fragile, slow, and unstable tests that tend to be flaky.
- Methods to capture and translate requirements into formal specifications.
- The application scope and characteristics of quality acceptance tests.
- Hands-on exercises in writing specifications and performing story mapping.
- Managing test isolation, asynchronicity, and instability challenges.
- Applying acceptance testing as a precise language for AI collaboration.
- Validating AI-generated code through effective acceptance tests.
- Developing a testing strategy and building an effective test suite for complex systems.
Who Should Enroll?
This course is designed for engineers, testers, architects, and technical leaders who are eager to establish a dependable, scalable, and contemporary practice of acceptance testing within their organizations.
