Code-aware combinatorial interaction testing
Combinatorial interaction testing (CIT) is a useful testing technique to address the interaction of input parameters in software systems. CIT has been used as a systematic technique to sample the enormous test possibilities. Most of the research activities focused on the generation of CIT test suite...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Institution of Engineering and Technology
2019
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| Online Access: | http://umpir.ump.edu.my/id/eprint/26801/1/Code-aware%20combinatorial%20interaction%20testing%20.pdf |
| _version_ | 1825813046989160448 |
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| author | Ahmed, Bestoun S. Gargantini, Angelo Kamal Z., Zamli Yilmaz, Cemal Bures, Miroslav Szeles, Marek |
| author_facet | Ahmed, Bestoun S. Gargantini, Angelo Kamal Z., Zamli Yilmaz, Cemal Bures, Miroslav Szeles, Marek |
| author_sort | Ahmed, Bestoun S. |
| collection | UMP |
| description | Combinatorial interaction testing (CIT) is a useful testing technique to address the interaction of input parameters in software systems. CIT has been used as a systematic technique to sample the enormous test possibilities. Most of the research activities focused on the generation of CIT test suites as a computationally complex problem. Less effort has been paid for the application of CIT. To apply CIT, practitioners must identify the input parameters for the Software-under-test (SUT), feed these parameters to the CIT test generation tool, and then run those tests on the application with some pass and fail criteria for verification. Using this approach, CIT is used as a black-box testing technique without knowing the effect of the internal code. Although useful, practically, not all the parameters having the same impact on the SUT. This paper introduces a different approach to use the CIT as a gray-box testing technique by considering the internal code structure of the SUT to know the impact of each input parameter and thus use this impact in the test generation stage. The case studies results showed that this approach would help to detect new faults as compared to the equal impact parameter approach. |
| first_indexed | 2024-03-06T12:38:12Z |
| format | Article |
| id | UMPir26801 |
| institution | Universiti Malaysia Pahang |
| language | English |
| last_indexed | 2024-03-06T12:38:12Z |
| publishDate | 2019 |
| publisher | Institution of Engineering and Technology |
| record_format | dspace |
| spelling | UMPir268012020-03-12T08:27:52Z http://umpir.ump.edu.my/id/eprint/26801/ Code-aware combinatorial interaction testing Ahmed, Bestoun S. Gargantini, Angelo Kamal Z., Zamli Yilmaz, Cemal Bures, Miroslav Szeles, Marek QA76 Computer software Combinatorial interaction testing (CIT) is a useful testing technique to address the interaction of input parameters in software systems. CIT has been used as a systematic technique to sample the enormous test possibilities. Most of the research activities focused on the generation of CIT test suites as a computationally complex problem. Less effort has been paid for the application of CIT. To apply CIT, practitioners must identify the input parameters for the Software-under-test (SUT), feed these parameters to the CIT test generation tool, and then run those tests on the application with some pass and fail criteria for verification. Using this approach, CIT is used as a black-box testing technique without knowing the effect of the internal code. Although useful, practically, not all the parameters having the same impact on the SUT. This paper introduces a different approach to use the CIT as a gray-box testing technique by considering the internal code structure of the SUT to know the impact of each input parameter and thus use this impact in the test generation stage. The case studies results showed that this approach would help to detect new faults as compared to the equal impact parameter approach. Institution of Engineering and Technology 2019-07-22 Article PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/26801/1/Code-aware%20combinatorial%20interaction%20testing%20.pdf Ahmed, Bestoun S. and Gargantini, Angelo and Kamal Z., Zamli and Yilmaz, Cemal and Bures, Miroslav and Szeles, Marek (2019) Code-aware combinatorial interaction testing. IET Software, 13 (6). pp. 600-609. ISSN 1751-8814. (Published) https://doi.org/10.1049/iet-sen.2018.5315 https://doi.org/10.1049/iet-sen.2018.5315 |
| spellingShingle | QA76 Computer software Ahmed, Bestoun S. Gargantini, Angelo Kamal Z., Zamli Yilmaz, Cemal Bures, Miroslav Szeles, Marek Code-aware combinatorial interaction testing |
| title | Code-aware combinatorial interaction testing |
| title_full | Code-aware combinatorial interaction testing |
| title_fullStr | Code-aware combinatorial interaction testing |
| title_full_unstemmed | Code-aware combinatorial interaction testing |
| title_short | Code-aware combinatorial interaction testing |
| title_sort | code aware combinatorial interaction testing |
| topic | QA76 Computer software |
| url | http://umpir.ump.edu.my/id/eprint/26801/1/Code-aware%20combinatorial%20interaction%20testing%20.pdf |
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