Code-based CRUD analysis for prioritising test cases Online publication date: Tue, 27-Sep-2022
by Tomohiro Takeda; Satoshi Masuda; Tohru Matsuodani; Tsuyoshi Yumoto; Kazuhiko Tsuda
International Journal of Reliability and Safety (IJRS), Vol. 15, No. 4, 2021
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.
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