CS-320 focuses on software test automation and quality assurance, with a strong emphasis on developing practical skills in writing and maintaining automated tests and applying different testing strategies based on requirements. The course teaches software testing in Java, including unit tests with JUnit and requirements-based test design, covering static versus dynamic testing and unit testing approaches, since testing and quality assurance are a critical part of the software development lifecycle.
Testing grounded in actual requirements
The course emphasizes requirements-based test design, ensuring tests are built to verify that software actually meets its intended specifications, not just written generically without reference to what the software is supposed to do.
Hands-on automated testing with JUnit
CS-320 teaches genuine automated testing skill using JUnit in Java, giving students the practical ability to write maintainable test suites, not just an understanding of testing concepts.
Key topics in CS320
- Unit testing with JUnit in Java
- Requirements-based test design
- Static versus dynamic testing
- Test automation strategy
- Quality assurance in the software development lifecycle
- Writing and maintaining automated test suites
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Worked example: requirements-based testing catching a real gap
- Generic testing: Tests written without close reference to the software's actual requirements
- Requirements-based testing: Tests specifically designed to verify each stated requirement is genuinely met
- Lesson: CS-320 teaches that requirements-based testing catches gaps between what software actually does and what it's supposed to do — gaps generic testing can miss entirely
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Frequently asked questions
A test suite that isn't grounded in a software product's actual stated requirements can pass while still missing genuine gaps between what the software does and what it's actually supposed to do, since generic tests don't specifically verify each intended feature or behavior. CS-320 emphasizes requirements-based design because effective quality assurance means verifying software against its real specifications, not just confirming that code runs without crashing.
Manual testing doesn't scale well as software grows and changes — retesting everything by hand after every code change becomes impractical — while automated tests using a framework like JUnit can be run repeatedly and quickly, catching regressions efficiently as software evolves over time. CS-320 teaches automated testing because it reflects how professional software teams actually maintain quality assurance at scale, not just how testing works in a small, static codebase.