Advanced Test Design Techniques & Code-Level Testing
The module provides an overview of advanced software testing techniques, focusing on combinatorial testing approaches to efficiently manage complex testing scenarios. It covers strategies like Pairwise Testing, Decision Table Testing, and Cause-Effect Graphing, emphasizing their practical implications in discovering interaction bugs. Additionally, White-Box Testing techniques are discussed to evaluate the internal structure of code, enhancing overall test effectiveness.
Sections
Navigate through the learning materials and practice exercises.
What we have learnt
- Combinatorial Testing addresses the issue of combinatorial explosion by focusing on specific combinations of parameters.
- Pairwise Testing is an essential strategy that efficiently finds bugs by covering all pairs of parameter values.
- Decision Table Testing helps clarify complex business rules and translates them into systematic and effective test cases.
Key Concepts
- -- Combinatorial Testing
- A set of techniques designed to select a smaller, optimized set of test cases that effectively cover interactions among multiple parameters.
- -- Pairwise Testing
- A testing method that ensures each possible combination of every pair of input parameters is included in at least one test case.
- -- Decision Table
- A tabular representation of conditions and actions that clarifies complex business rules for comprehensive testing.
- -- WhiteBox Testing
- A software testing method that involves testing the internal structures or workings of an application, as opposed to its functionality.
Additional Learning Materials
Supplementary resources to enhance your learning experience.