Please use this identifier to cite or link to this item: http://cmuir.cmu.ac.th/jspui/handle/6653943832/68328
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dc.contributor.authorWacharapong Nachiengmaien_US
dc.contributor.authorSakgasit Ramingwongen_US
dc.contributor.authorAmphol Kongkeawen_US
dc.date.accessioned2020-04-02T15:25:09Z-
dc.date.available2020-04-02T15:25:09Z-
dc.date.issued2020-02-01en_US
dc.identifier.issn20103689en_US
dc.identifier.other2-s2.0-85078323787en_US
dc.identifier.other10.18178/ijiet.2020.10.2.1349en_US
dc.identifier.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85078323787&origin=inwarden_US
dc.identifier.urihttp://cmuir.cmu.ac.th/jspui/handle/6653943832/68328-
dc.description.abstract© 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.en_US
dc.subjectComputer Scienceen_US
dc.subjectSocial Sciencesen_US
dc.titleImplementing DDD for automatic test case generationen_US
dc.typeJournalen_US
article.title.sourcetitleInternational Journal of Information and Education Technologyen_US
article.volume10en_US
article.stream.affiliationsNorth-Chiang Mai Universityen_US
article.stream.affiliationsChiang Mai Universityen_US
Appears in Collections:CMUL: Journal Articles

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