Implementing DDD for automatic test case generation
© 2020 by the authors. Software testing is a necessary process to ensure quality of software. Unfortunately, it is usually perceived as a very difficult process for inexperienced software developers. Defect-driven Development (DDD) is a novel development concept which aims to bridge such gap. DDD he...
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th-cmuir.6653943832-683282020-04-02T15:30:29Z Implementing DDD for automatic test case generation Wacharapong Nachiengmai Sakgasit Ramingwong Amphol Kongkeaw Computer Science Social Sciences © 2020 by the authors. Software testing is a necessary process to ensure quality of software. Unfortunately, it is usually perceived as a very difficult process for inexperienced software developers. Defect-driven Development (DDD) is a novel development concept which aims to bridge such gap. DDD helps inexperienced developers to automatically generate essential test cases and scripts from defect information collected from a knowledge base. This research describes an implementation of the concept as well as its performance evaluation. The result suggests that this technique helps beginners to create an equivalent effectiveness level of unit test compared to experts in both term of time used and defect density. 2020-04-02T15:25:09Z 2020-04-02T15:25:09Z 2020-02-01 Journal 20103689 2-s2.0-85078323787 10.18178/ijiet.2020.10.2.1349 https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85078323787&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/68328 |
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Computer Science Social Sciences Wacharapong Nachiengmai Sakgasit Ramingwong Amphol Kongkeaw Implementing DDD for automatic test case generation |
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© 2020 by the authors. Software testing is a necessary process to ensure quality of software. Unfortunately, it is usually perceived as a very difficult process for inexperienced software developers. Defect-driven Development (DDD) is a novel development concept which aims to bridge such gap. DDD helps inexperienced developers to automatically generate essential test cases and scripts from defect information collected from a knowledge base. This research describes an implementation of the concept as well as its performance evaluation. The result suggests that this technique helps beginners to create an equivalent effectiveness level of unit test compared to experts in both term of time used and defect density. |
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Wacharapong Nachiengmai Sakgasit Ramingwong Amphol Kongkeaw |
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Wacharapong Nachiengmai Sakgasit Ramingwong Amphol Kongkeaw |
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Wacharapong Nachiengmai |
title |
Implementing DDD for automatic test case generation |
title_short |
Implementing DDD for automatic test case generation |
title_full |
Implementing DDD for automatic test case generation |
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Implementing DDD for automatic test case generation |
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Implementing DDD for automatic test case generation |
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implementing ddd for automatic test case generation |
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2020 |
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https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85078323787&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/68328 |
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