Alsewari, Abdulrahman A. and Tairan, Nasser M. and Kamal Z., Zamli (2015) Survey on input output relation based combination test data generation strategies. ARPN Journal of Engineering and Applied Sciences, 10 (18). pp. 8427-8430. ISSN 1819-6608. (Published)
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Abstract
Combinatorial test data generation strategies have been known to be effective to detect the fault in the product due to the interaction between the product’s features. Over the years, many combinatorial test data generation strategies have been developed supporting uniform and variable strength interactions. Although useful, these existing strategies are lacking the support for Input Output Relations (IOR). In fact, there are only a handful of existing strategies addresses IOR. This paper will review the existing combinatorial test data generation strategies supporting the IOR features specifically taking the nature inspired algorithm as the main basis. Benchmarking results illustrate the comparative performance of existing nature inspired algorithm based strategies supporting IOR.
| Item Type: | Article |
|---|---|
| Additional Information: | Indexed by Scopus |
| Uncontrolled Keywords: | Combinatorial testing; Test data generation; Combinatorial optimization problem; Nature based algorithms; Software testing |
| Subjects: | Q Science > QA Mathematics > QA76 Computer software T Technology > TK Electrical engineering. Electronics Nuclear engineering |
| Faculty/Division: | Faculty of Computer System And Software Engineering |
| Depositing User: | Mrs Norsaini Abdul Samat |
| Date Deposited: | 03 Feb 2021 02:16 |
| Last Modified: | 03 Feb 2021 02:16 |
| URI: | http://umpir.ump.edu.my/id/eprint/28531 |
| Download Statistic: | View Download Statistics |
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