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Journal of Artificial Intelligence and Big Data
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  5. Volume 2, Number 1, 2022
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  7. Table 1

Survey of Automated Testing Frameworks and Tools for Software Quality Assurance: Challenges and Best Practices

Table 1.

Comparative Analysis of Automated TestingFrameworks
Framework Key Features Advantages Limitations Best Suited For
Keyword-Driven Testing Uses keywords stored in external files; separates test logic from scripts. High reusability, easy maintenance, reduces programming effort by defining user keywords. Initial setup effort is high; requires a well-defined keyword library. Applications requiring frequent test modifications.
Data-Driven Testing Separates test data from logic; executes single test scripts with multiple data sets. Reduces the number of scripts; high reusability; flexible and scalable. Debugging can be more challenging if test data is large, as it requires a careful design of the test data matrix. Applications with large input variations.
Behavior-Driven Testing (BDD) Extends TDD; focuses on customer-centric acceptance tests; uses natural language scenarios. Improves communication between developers, testers, and stakeholders, while enhancing code quality. Requires cultural shift and training; higher initial effort. Agile projects and systems require stakeholder collaboration.
Playback/Record Testing Creates test scripts by recording user interactions; minimal coding effort. Very easy to implement; quick automation setup. Poor maintainability; unstable with frequent UI changes. Small projects or as an entry-level automation approach.