Multi-objective regression test suite optimization with Fuzzy logic

Zeeshan Anwar; Ali Ahsan

doi:10.1109/INMIC.2013.6731331

Multi-objective regression test suite optimization with Fuzzy logic

Zeeshan Anwar, Ali Ahsan

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

10 Citations (Scopus)

Abstract

Regression Testing is performed on already tested programs to ensure that modifications have not revealed defects into the unmodified portions of programs. Regression Test Suites are always growing due to addition of Test Cases. Many broken and redundant test cases are also part of regression test suites. Running the all regression test suite is always not feasible; therefore optimization of regression test suites is required to meet the constraints. In this work we proposed multi-objective optimization of regression test suites with Fuzzy Logic (Sugeno Model) for Black Box based testing methods. Proposed approach was implemented on two published case studies. Results indicates that optimization can be achieved by using Fuzzy Logic that is a safe technique for optimization and we can reduce the execution time and size of regression test suites up to 50%.

Original language	English
Title of host publication	2013 16th International Multi Topic Conference, INMIC 2013
Publisher	IEEE Computer Society
Pages	95-100
Number of pages	6
ISBN (Print)	9781479930432
DOIs	https://doi.org/10.1109/INMIC.2013.6731331
Publication status	Published - 1 Jan 2013
Externally published	Yes
Event	2013 16th International Multi Topic Conference, INMIC 2013 - Lahore, Pakistan Duration: 19 Dec 2013 → 20 Dec 2013

Publication series

Name	2013 16th International Multi Topic Conference, INMIC 2013

Conference

Conference	2013 16th International Multi Topic Conference, INMIC 2013
Country/Territory	Pakistan
City	Lahore
Period	19/12/13 → 20/12/13

Keywords

Computaional Intelligence
Fuzzy Logic
Multi-Objective Optimization
Regression Test Suite Optimization
Regression Testing

Access to Document

10.1109/INMIC.2013.6731331

Cite this

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title = "Multi-objective regression test suite optimization with Fuzzy logic",

abstract = "Regression Testing is performed on already tested programs to ensure that modifications have not revealed defects into the unmodified portions of programs. Regression Test Suites are always growing due to addition of Test Cases. Many broken and redundant test cases are also part of regression test suites. Running the all regression test suite is always not feasible; therefore optimization of regression test suites is required to meet the constraints. In this work we proposed multi-objective optimization of regression test suites with Fuzzy Logic (Sugeno Model) for Black Box based testing methods. Proposed approach was implemented on two published case studies. Results indicates that optimization can be achieved by using Fuzzy Logic that is a safe technique for optimization and we can reduce the execution time and size of regression test suites up to 50%.",

keywords = "Computaional Intelligence, Fuzzy Logic, Multi-Objective Optimization, Regression Test Suite Optimization, Regression Testing",

author = "Zeeshan Anwar and Ali Ahsan",

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language = "English",

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series = "2013 16th International Multi Topic Conference, INMIC 2013",

publisher = "IEEE Computer Society",

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note = "2013 16th International Multi Topic Conference, INMIC 2013 ; Conference date: 19-12-2013 Through 20-12-2013",

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Anwar, Z & Ahsan, A 2013, Multi-objective regression test suite optimization with Fuzzy logic. in 2013 16th International Multi Topic Conference, INMIC 2013., 6731331, 2013 16th International Multi Topic Conference, INMIC 2013, IEEE Computer Society, pp. 95-100, 2013 16th International Multi Topic Conference, INMIC 2013, Lahore, Pakistan, 19/12/13. https://doi.org/10.1109/INMIC.2013.6731331

Multi-objective regression test suite optimization with Fuzzy logic. / Anwar, Zeeshan; Ahsan, Ali.
2013 16th International Multi Topic Conference, INMIC 2013. IEEE Computer Society, 2013. p. 95-100 6731331 (2013 16th International Multi Topic Conference, INMIC 2013).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Ahsan, Ali

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N2 - Regression Testing is performed on already tested programs to ensure that modifications have not revealed defects into the unmodified portions of programs. Regression Test Suites are always growing due to addition of Test Cases. Many broken and redundant test cases are also part of regression test suites. Running the all regression test suite is always not feasible; therefore optimization of regression test suites is required to meet the constraints. In this work we proposed multi-objective optimization of regression test suites with Fuzzy Logic (Sugeno Model) for Black Box based testing methods. Proposed approach was implemented on two published case studies. Results indicates that optimization can be achieved by using Fuzzy Logic that is a safe technique for optimization and we can reduce the execution time and size of regression test suites up to 50%.

AB - Regression Testing is performed on already tested programs to ensure that modifications have not revealed defects into the unmodified portions of programs. Regression Test Suites are always growing due to addition of Test Cases. Many broken and redundant test cases are also part of regression test suites. Running the all regression test suite is always not feasible; therefore optimization of regression test suites is required to meet the constraints. In this work we proposed multi-objective optimization of regression test suites with Fuzzy Logic (Sugeno Model) for Black Box based testing methods. Proposed approach was implemented on two published case studies. Results indicates that optimization can be achieved by using Fuzzy Logic that is a safe technique for optimization and we can reduce the execution time and size of regression test suites up to 50%.

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BT - 2013 16th International Multi Topic Conference, INMIC 2013

PB - IEEE Computer Society

T2 - 2013 16th International Multi Topic Conference, INMIC 2013

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ER -

Multi-objective regression test suite optimization with Fuzzy logic

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Keywords

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