Time-constrained test selection for regression testing

Lian Yu; Lei Xu; Wei Tek Tsai

doi:10.1007/978-3-642-17313-4_23

Time-constrained test selection for regression testing

Lian Yu^*
, Lei Xu
, Wei Tek Tsai

^*Corresponding author for this work

Peking University
Arizona State University

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

9 Scopus citations

Abstract

The strategy of regression test selection is critical to a new version of software product. Although several strategies have been proposed, the issue, how to select test cases that not only can detect faults with high probability but also can be executed within a limited period of test time, remains open. This paper proposes to utilize data-mining approach to select test cases, and dynamic programming approach to find the optimal test case set from the selected test cases such that they can detect most faults and meet testing deadline. The models have been applied to a large financial management system with a history of 11 releases over 5 years.

Original language	English
Title of host publication	Advanced Data Mining and Applications - 6th International Conference, ADMA 2010, Proceedings
Pages	221-232
Number of pages	12
Edition	PART 2
DOIs	https://doi.org/10.1007/978-3-642-17313-4_23
State	Published - 2010
Externally published	Yes
Event	6th International Conference on Advanced Data Mining and Applications, ADMA 2010 - Chongqing, China Duration: 19 Nov 2010 → 21 Nov 2010

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Number	PART 2
Volume	6441 LNAI
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	6th International Conference on Advanced Data Mining and Applications, ADMA 2010
Country/Territory	China
City	Chongqing
Period	19/11/10 → 21/11/10

Keywords

P-measure
Test case selection
Time-constrained
regression testing
test case classification

Access to Document

10.1007/978-3-642-17313-4_23

Cite this

Yu, L., Xu, L., & Tsai, W. T. (2010). Time-constrained test selection for regression testing. In Advanced Data Mining and Applications - 6th International Conference, ADMA 2010, Proceedings (PART 2 ed., pp. 221-232). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6441 LNAI, No. PART 2). https://doi.org/10.1007/978-3-642-17313-4_23

@inproceedings{f8d8a9a579204b2c84785a43114dc78d,

title = "Time-constrained test selection for regression testing",

abstract = "The strategy of regression test selection is critical to a new version of software product. Although several strategies have been proposed, the issue, how to select test cases that not only can detect faults with high probability but also can be executed within a limited period of test time, remains open. This paper proposes to utilize data-mining approach to select test cases, and dynamic programming approach to find the optimal test case set from the selected test cases such that they can detect most faults and meet testing deadline. The models have been applied to a large financial management system with a history of 11 releases over 5 years.",

keywords = "P-measure, Test case selection, Time-constrained, regression testing, test case classification",

author = "Lian Yu and Lei Xu and Tsai, \{Wei Tek\}",

year = "2010",

doi = "10.1007/978-3-642-17313-4\_23",

language = "英语",

isbn = "3642173128",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

number = "PART 2",

pages = "221--232",

booktitle = "Advanced Data Mining and Applications - 6th International Conference, ADMA 2010, Proceedings",

edition = "PART 2",

note = "6th International Conference on Advanced Data Mining and Applications, ADMA 2010 ; Conference date: 19-11-2010 Through 21-11-2010",

}

Yu, L, Xu, L & Tsai, WT 2010, Time-constrained test selection for regression testing. in Advanced Data Mining and Applications - 6th International Conference, ADMA 2010, Proceedings. PART 2 edn, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), no. PART 2, vol. 6441 LNAI, pp. 221-232, 6th International Conference on Advanced Data Mining and Applications, ADMA 2010, Chongqing, China, 19/11/10. https://doi.org/10.1007/978-3-642-17313-4_23

Time-constrained test selection for regression testing. / Yu, Lian; Xu, Lei; Tsai, Wei Tek.
Advanced Data Mining and Applications - 6th International Conference, ADMA 2010, Proceedings. PART 2. ed. 2010. p. 221-232 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6441 LNAI, No. PART 2).

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

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AU - Xu, Lei

AU - Tsai, Wei Tek

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AB - The strategy of regression test selection is critical to a new version of software product. Although several strategies have been proposed, the issue, how to select test cases that not only can detect faults with high probability but also can be executed within a limited period of test time, remains open. This paper proposes to utilize data-mining approach to select test cases, and dynamic programming approach to find the optimal test case set from the selected test cases such that they can detect most faults and meet testing deadline. The models have been applied to a large financial management system with a history of 11 releases over 5 years.

KW - P-measure

KW - Test case selection

KW - Time-constrained

KW - regression testing

KW - test case classification

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Yu L, Xu L, Tsai WT. Time-constrained test selection for regression testing. In Advanced Data Mining and Applications - 6th International Conference, ADMA 2010, Proceedings. PART 2 ed. 2010. p. 221-232. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 2). doi: 10.1007/978-3-642-17313-4_23

Time-constrained test selection for regression testing

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