HIGHLIGHTS
- What: This study proposes an approach for generating Android application test cases based on Expected State-Action-Reward-State-Action (E-SARSA) considering GUI and context events for effective testing. This approach aims to generate test cases that maximize code coverage.
- Who: Pylarinos from the Department of Computer Science, Abdu Gusau Polytechnic Talata Mafara, Nigeria have published the research: Test Case Generation Approach for Android Applications using Reinforcement Learning, in the Journal: (JOURNAL)
- How: The results showed that this method achieved higher code coverage and detected more errors. The results showed that this . . .
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