Paper Info
Title
Fault coverage-based test suite optimization method for regression testing: learning from mistakes-based approach
Abstract
This paper presents a novel method referred as fault coverage-based test suite optimization (FCBTSO) for regression test suite optimization. FCBTSO is proposed based on Harrolds–Gupta–Soffa (HGS) test suite reduction method, and it follows the phenomenon: “learning from mistakes”. We conducted computational experiments on 12 versions of benchmarked programs retrieved from software artefact infrastructure repository and dummy fault matrix test. The performance of the proposed FCBTSO is measured against the traditional test suite reduction methods (Greedy method, Additional Greedy, HGS, and Enhanced HGS) by following the performance measures: fault coverage, execution time and reduced optimized test suite size. Rigorous statistical tests are conducted to determine the performance significance, which indicates that FCBTSO outperforms other approaches implemented with respect to the execution time that includes the execution time of the proposed approach to find the optimized test suite and the execution time of test cases in the optimized test suite.
Year
DOI
Venue
2020
10.1007/s00521-019-04098-9
Neural Computing and Applications
Keywords
DocType
Volume
Regression testing, Software maintenance, Heuristics, Greedy, Additional Greedy, HGS, Enhanced HGS
Journal
32
Issue
ISSN
Citations 
12
0941-0643
0
PageRank 
References 
Authors
0.34
33
4
Name
Order
Citations
PageRank
Arun Prakash Agrawal181.81
Ankur Choudhary232.43
A. Kaur3603.54
Hari Mohan Pandey46012.31