کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
550544 | 872638 | 2009 | 14 صفحه PDF | دانلود رایگان |
![عکس صفحه اول مقاله: Using machine learning to refine Category-Partition test specifications and test suites Using machine learning to refine Category-Partition test specifications and test suites](/preview/png/550544.png)
In the context of open source development or software evolution, developers often face test suites which have been developed with no apparent rationale and which may need to be augmented or refined to ensure sufficient dependability, or even reduced to meet tight deadlines. We refer to this process as the re-engineering of test suites. It is important to provide both methodological and tool support to help people understand the limitations of test suites and their possible redundancies, so as to be able to refine them in a cost effective manner. To address this problem in the case of black-box, Category-Partition testing, we propose a methodology and a tool based on machine learning that has shown promising results on a case study involving students as testers.
Journal: Information and Software Technology - Volume 51, Issue 11, November 2009, Pages 1551–1564