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.