Fakhrud, Din and Kamal Z., Zamli (2018) Hyper-heuristic based strategy for pairwise test case generation. Advanced Science Letters, 24 (10). pp. 7333-7338. ISSN 1936-6612. (Published)
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Abstract
Pairwise testing significantly reduces testing efforts of contemporary software systems by efficiently sampling their exorbitant number of parameter configurations. Meta-heuristic based pairwise test generation strategies appeared effective in the recent literature for pairwise testing. However, meta-heuristics require substantial information of the problem domain before producing optimal results. As alternative to meta-heuristics, hyper-heuristics have been introduced. Hyper-heuristics promotes generality by using a high-level heuristic as chief selector from a set of low-level heuristics. The suitability of hyper-heuristics for optimization problems motivated us to adopt the Exponential Monte Carlo hyper-heuristic as a basis for our proposed pairwise test case generation strategy called Pairwise_HHH. Based on the published benchmarking results, Pairwise_HHH gives competitive results in many of the parameter configurations considered. Pairwise_HHH serves as our research vehicle to investigate the effective use of hyper-heuristic based algorithm for pairwise test case generation.
| Item Type: | Article |
|---|---|
| Additional Information: | JCR® Category: Multidisciplinary Sciences. Quartile: Q2 |
| Uncontrolled Keywords: | Pairwise Testing; Hyper-heuristic; Exponential Monte Carlo.Hyper-heuristic |
| Subjects: | Q Science > QA Mathematics Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
| Faculty/Division: | Faculty of Computer System And Software Engineering |
| Depositing User: | Pn. Hazlinda Abd Rahman |
| Date Deposited: | 22 Mar 2018 07:09 |
| Last Modified: | 12 Nov 2018 03:59 |
| URI: | http://umpir.ump.edu.my/id/eprint/19581 |
| Download Statistic: | View Download Statistics |
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