Societal Transformation: AI and Big Data Journal

Performance of Defect Causal Analysis (DCA) to Recover the Process of Software Testing

Research Article 43
- Volume 2, Issue 1 2024
By Fatima Ali Tabba, Soobia Saeed
10.20547/aibd.242101
Keywords: Defect Casual Analysis (DCA), software, assessment, testing, reversion testing, implementing.

Testing is a crucial process for evaluating whether a software system meets the needs of users and functions effectively in its designated environment. Sometimes, mistakes by programmers and testers or untested code can cause problems after the software is released. This can be costly to fix. The main goal of this research is to use regression testing to make sure any changes based on customer requests are reliable. We also want to prioritize important test cases to save time but still evaluate the software effectively. Additionally, the goal of this comparison is to modify, minimize and prioritize test cases in regression testing methodology. Defect Casual Analysis (DCA) is a tool that focuses on enhancing software development progress. DCA is an art used to improve the testing process as defined by the concept of Defect Process Improvement (DBPI). DCA helps find problems early by looking at reports from team discussions. The focus is on reducing errors, improving quality, and addressing common issues systematically.

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