A test case selection framework and technique: weighted average scoring method

Test case selection techniques identify and eliminate the modification revealing test cases and try to reduce the test suite size for optimization of regression testing. The objective of this experiment is to assess the effectiveness of weighted average scoring method of test case selection against...

詳細記述

保存先:
書誌詳細
主要な著者: Kazmi, R., Jawawi, D. N. A., Mohamad, R., Ghani, I., Younas, M.
フォーマット: 論文
出版事項: Universiti Teknikal Malaysia Melaka 2017
主題:
オンライン・アクセス:http://eprints.utm.my/id/eprint/76603/
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85041742268&partnerID=40&md5=b9ec5c1e1bf718c3371cb0ed24f552f8
タグ: タグ追加
タグなし, このレコードへの初めてのタグを付けませんか!
id my.utm.76603
record_format eprints
spelling my.utm.766032018-04-30T13:38:04Z http://eprints.utm.my/id/eprint/76603/ A test case selection framework and technique: weighted average scoring method Kazmi, R. Jawawi, D. N. A. Mohamad, R. Ghani, I. Younas, M. QA75 Electronic computers. Computer science Test case selection techniques identify and eliminate the modification revealing test cases and try to reduce the test suite size for optimization of regression testing. The objective of this experiment is to assess the effectiveness of weighted average scoring method of test case selection against single objective test case selection techniques. The multi-objective test case selection with the weighted average scoring framework and technique are proposed in this study to select the test cases. This method is trying to solve conflicting test case selection objectives with six selection scenarios. The method used test data of cost, coverage, fault detection ability and code change information, convert them into the weighted average score as scalar function and presented this score to 100-index slabs related to low to high scores, then select the test cases. The results for these selection scenarios are computed and evaluated using size reduction of the test suite, inclusiveness, and precision. The results showed that all scenarios performed acceptable level within conditions applied from 17% minimum to 86% maximum in size reduction metrics. The inclusiveness showed 17% to 88% and 33% to 85% for precision metric. Universiti Teknikal Malaysia Melaka 2017 Article PeerReviewed Kazmi, R. and Jawawi, D. N. A. and Mohamad, R. and Ghani, I. and Younas, M. (2017) A test case selection framework and technique: weighted average scoring method. Journal of Telecommunication, Electronic and Computer Engineering, 9 (3-4 Sp). pp. 15-22. ISSN 2180-1843 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85041742268&partnerID=40&md5=b9ec5c1e1bf718c3371cb0ed24f552f8
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic QA75 Electronic computers. Computer science
spellingShingle QA75 Electronic computers. Computer science
Kazmi, R.
Jawawi, D. N. A.
Mohamad, R.
Ghani, I.
Younas, M.
A test case selection framework and technique: weighted average scoring method
description Test case selection techniques identify and eliminate the modification revealing test cases and try to reduce the test suite size for optimization of regression testing. The objective of this experiment is to assess the effectiveness of weighted average scoring method of test case selection against single objective test case selection techniques. The multi-objective test case selection with the weighted average scoring framework and technique are proposed in this study to select the test cases. This method is trying to solve conflicting test case selection objectives with six selection scenarios. The method used test data of cost, coverage, fault detection ability and code change information, convert them into the weighted average score as scalar function and presented this score to 100-index slabs related to low to high scores, then select the test cases. The results for these selection scenarios are computed and evaluated using size reduction of the test suite, inclusiveness, and precision. The results showed that all scenarios performed acceptable level within conditions applied from 17% minimum to 86% maximum in size reduction metrics. The inclusiveness showed 17% to 88% and 33% to 85% for precision metric.
format Article
author Kazmi, R.
Jawawi, D. N. A.
Mohamad, R.
Ghani, I.
Younas, M.
author_facet Kazmi, R.
Jawawi, D. N. A.
Mohamad, R.
Ghani, I.
Younas, M.
author_sort Kazmi, R.
title A test case selection framework and technique: weighted average scoring method
title_short A test case selection framework and technique: weighted average scoring method
title_full A test case selection framework and technique: weighted average scoring method
title_fullStr A test case selection framework and technique: weighted average scoring method
title_full_unstemmed A test case selection framework and technique: weighted average scoring method
title_sort test case selection framework and technique: weighted average scoring method
publisher Universiti Teknikal Malaysia Melaka
publishDate 2017
url http://eprints.utm.my/id/eprint/76603/
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85041742268&partnerID=40&md5=b9ec5c1e1bf718c3371cb0ed24f552f8
_version_ 1643657357766426624
score 13.251813