Survey on input output relation based combination test data generation strategies
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 inte...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Asian Research Publishing Network (ARPN)
2015
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| Online Access: | http://umpir.ump.edu.my/id/eprint/28531/2/Survey%20on%20input%20output%20relation%20based%20combination.pdf |
| _version_ | 1796994095125626880 |
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| author | Alsewari, Abdulrahman A. Tairan, Nasser M. Kamal Z., Zamli |
| author_facet | Alsewari, Abdulrahman A. Tairan, Nasser M. Kamal Z., Zamli |
| author_sort | Alsewari, Abdulrahman A. |
| collection | UMP |
| description | 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. |
| first_indexed | 2024-03-06T12:42:59Z |
| format | Article |
| id | UMPir28531 |
| institution | Universiti Malaysia Pahang |
| language | English |
| last_indexed | 2024-03-06T12:42:59Z |
| publishDate | 2015 |
| publisher | Asian Research Publishing Network (ARPN) |
| record_format | dspace |
| spelling | UMPir285312021-02-03T02:16:37Z http://umpir.ump.edu.my/id/eprint/28531/ Survey on input output relation based combination test data generation strategies Alsewari, Abdulrahman A. Tairan, Nasser M. Kamal Z., Zamli QA76 Computer software TK Electrical engineering. Electronics Nuclear engineering 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. Asian Research Publishing Network (ARPN) 2015-10 Article PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/28531/2/Survey%20on%20input%20output%20relation%20based%20combination.pdf 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) http://www.arpnjournals.org/jeas/research_papers/rp_2015/jeas_1015_2739.pdf |
| spellingShingle | QA76 Computer software TK Electrical engineering. Electronics Nuclear engineering Alsewari, Abdulrahman A. Tairan, Nasser M. Kamal Z., Zamli Survey on input output relation based combination test data generation strategies |
| title | Survey on input output relation based combination test data generation strategies |
| title_full | Survey on input output relation based combination test data generation strategies |
| title_fullStr | Survey on input output relation based combination test data generation strategies |
| title_full_unstemmed | Survey on input output relation based combination test data generation strategies |
| title_short | Survey on input output relation based combination test data generation strategies |
| title_sort | survey on input output relation based combination test data generation strategies |
| topic | QA76 Computer software TK Electrical engineering. Electronics Nuclear engineering |
| url | http://umpir.ump.edu.my/id/eprint/28531/2/Survey%20on%20input%20output%20relation%20based%20combination.pdf |
| work_keys_str_mv | AT alsewariabdulrahmana surveyoninputoutputrelationbasedcombinationtestdatagenerationstrategies AT tairannasserm surveyoninputoutputrelationbasedcombinationtestdatagenerationstrategies AT kamalzzamli surveyoninputoutputrelationbasedcombinationtestdatagenerationstrategies |