Code-based CRUD analysis for prioritising test cases. (16th September 2022)

• Record Type: Journal Article
• Authors: Takeda, Tomohiro; Masuda, Satoshi; Matsuodani, Tohru; Yumoto, Tsuyoshi; Tsuda, Kazuhiko
• Is Part Of: International journal of reliability and safety. Volume 15:Number 4(2021)
• Page Start: 240
• Page End: 270
• Publication Date: 2022-09-16
• Subjects: software testing -- impact analysis -- test case creation -- call flow -- control flow -- data flow -- testing automation -- test case prioritisation -- graph search -- intermediate language; Reliability (Engineering) -- Periodicals; Industrial safety -- Periodicals; 620.00452
• Languages: English
• ISSNs: 1479-389X

Abstract

When software is modified, an impact analysis is conducted to determine the effect of these modifications on other functions. However, the current impact-analysis techniques cannot identify such impact analysis. To compensate for this, comprehensive test cases are created. Therefore, impact analysis faces problems when increasing the true-positive ratio, which denotes the impacted implementations, and when reducing the false-positive ratio, which denotes the non-impacted implementations. To address this, Impact-Data-All-Used (IDAU) can be used to create and prioritise test cases based on CRUD information contained in design documents. We herein propose a code-based-IDAU (CB-IDAU) that applies IDAU to the source code using the control-graph and call-graph analysis. Based on a performance comparison of CB-IDAU to that of its previously proposed version, CB-IDAU, we observed an increase in the true-positive value by 157% and a reduction in the false-positive value by 60% when the full-coverage-test performance was used as the benchmark.