Empirical study of the effects of different profiles on regression test case reduction

Abstract

Determining how to select a subset of test cases with high-fault detection capability becomes a key issue in code-level regression testing. Cluster analysis has been proposed to deal with this issue. It partitions test cases into clusters based on the similarity of execution profiles. In previous studies, execution profiles were represented as binary or numeric vectors. The vector model only considers the number of times that a function or statement is executed. However, it ignores sequential, the relations and structural information between function calls. Therefore vector-based methods do not always generate satisfying results. In this study, the authors presented cluster analysis of three different types of structural profiles, that is, function execution sequence, function call sequence (FCS) and function call tree. They designed and conducted empirical studies on five medium-sized programs to validate the effects of different profiles on regression test case reduction. Experimental results illustrate that sequential, call relations and structural information can aid to further improve fault detection effectiveness. In view of cost-effectiveness, FCS is regarded as to be the optimal profile. Furthermore, cluster analysis of FCSs is comparable to the additional branch coverage reduction technique with respect to fault detection effectiveness.

7334 Published By: Blue Eyes Intelligence Engineering & Sciences Publication Retrieval Number: A9763109119/2019©BEIESP DOI: 10.35940/ijeat.A9763.109119 Journal Website: www.ijeat.org Productive Mechanism to Validate P rogram Segment by Using Test Case Reduction and Test Suite Prioritization

“…Software Testing is the method of verifying, validating and resolving bugs. which ensures bug free software with productivity and lessen overall executions [1], when test suit exceeds immense cycle time required, therefore here we first attempt to curtail test cases then order them and lastly increased efficiency.…”

How test suites impact fault localisation starting from the size

“…Perez et al [36] pinpoint that the test‐suite reduction based on the adequacy criteria (e.g. multi‐object optimisation [55, 56] greedy‐based reduction [57], and profile‐based reduction [58]) could preserve localisation accuracy by incorporating diagnostic metrics. Differently, our approach utilises the coverage of MSS to optimise test suites, and our findings provide a theoretical and empirical explanation and support for their approach.…”

Empirical Study of the Effects of Different Similarity Measures on Test Case Prioritization

“…The distance is called the minimum set distance [34], that is, the minimum distance between pair-wise test cases. The distance can be calculated by a certain distance measure.…”