Fuzzy Delphi method for evaluating HyTEE model (hybrid software change management tool with test effort estimation)
When changes are made to a software system during development and maintenance, they need to be tested again i.e. regression test to ensure that changes behave as intended and have not impacted the software quality. This research will produce an automated tool that can help the software manager or a...
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| Main Authors: | , , |
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| 格式: | Article |
| 語言: | English |
| 出版: |
Science and Information Organization
2019
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| 主題: | |
| 在線閱讀: | http://eprints.utm.my/id/eprint/88208/1/MazidahMatRejab2019_FuzzyDelphiMethodforEvaluatingHyTEE.pdf http://eprints.utm.my/id/eprint/88208/ http://dx.doi.org/10.14569/ijacsa.2019.0100465 |
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| 總結: | When changes are made to a software system during development and maintenance, they need to be tested again i.e. regression test to ensure that changes behave as intended and have not impacted the software quality. This research will produce an automated tool that can help the software manager or a maintainer to search for the coverage artifact before and after a change request. Software quality engineer can determine the test coverage from new changes which can support cost estimation, effort, and schedule estimation. Therefore, this study is intended to look at the views and consensus of the experts on the elements in the proposed model by benefitting the Fuzzy Delphi Method. Through purposive sampling, a total of 12 experts from academic and industrial have participated in the verification of items through 5-point linguistic scales of the questionnaire instrument. Outcome studies show 90% of elements in the proposed model consists of change management, traceability support, test effort estimation support, regression testing support, report and GUI meet, the value threshold (d construct) is less than 0.2 and the percentage of the expert group is above 75%. It is shown that elements of all the items contained in the venue are needed in the HyTEE Model (Hybrid Software Change Management Tool with Test Effort Estimation) based on the consensus of experts. |
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