Title: Hybrid regression testing technique: based on requirement priorities, fault and modification history
Authors: Varun Gupta; D.S. Chauhan; Kamlesh Dutta
Addresses: Department of Computer Science and Engineering, Jawaharlal Nehru Govt. Engineering College, Sundernagar, Himachal Pradesh 175018, India ' Uttarakhand Technical University, Dehradun, Uttarakhand 248007, India ' Department of CSE, National Institute of Technology, Hamirpur 177005, India
Abstract: Context: The main challenge in incremental delivery of software is the testing of the increment with minimal number of test cases in such a manner that effect of execution of the subset is equivalent to the execution of whole test suite (regression testing). The execution of test suite subset must guarantee the capability of revealing all faults at the earliest. Objective: This paper aims to perform regression testing with minimal number of test cases that are capable of locating large percentage of faults. Method: The hybrid regression testing algorithm proposed in this paper is based on the clustering by employing three parameters: a) requirement priorities; b) fault detection history; c) module modification history. Results: The proposed technique was applied on live project of "Tool for automatic analysis and comparison of different release planning methods". The total of 14 requirements are considered for evaluation of proposed testing technique (three were added after the first review, leading to the process of reprioritisation). Conclusion: The evaluation of technique on real software revealed that the proposal resulted in better faults localisation with minimal number of test cases although its evaluation on a mature software system is kept as future work.
Keywords: regression testing; incremental software development; requirements priorities; global software development; software testing; fault detection; clustering; module modification; release planning; fault localisation.
International Journal of Computer Applications in Technology, 2015 Vol.51 No.4, pp.352 - 365
Published online: 08 Jul 2015 *Full-text access for editors Full-text access for subscribers Purchase this article Comment on this article