A Tester-Assisted Methodology for Test Redundancy Detection
Joint Authors
Koochakzadeh, Negar
Garousi, Vahid
Source
Advances in Software Engineering
Issue
Vol. 2010, Issue 2010 (31 Dec. 2010), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2010-01-17
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Abstract EN
Test redundancy detection reduces test maintenance costs and also ensures the integrity of test suites.
One of the most widely used approaches for this purpose is based on coverage information.
In a recent work, we have shown that although this information can be useful in detecting redundant tests, it may suffer from large number of false-positive errors, that is, a test case being identified as redundant while it is really not.
In this paper, we propose a semiautomated methodology to derive a reduced test suite from a given test suite, while keeping the fault detection effectiveness unchanged.
To evaluate the methodology, we apply the mutation analysis technique to measure the fault detection effectiveness of the reduced test suite of a real Java project.
The results confirm that the proposed manual interactive inspection process leads to a reduced test suite with the same fault detection ability as the original test suite.
American Psychological Association (APA)
Koochakzadeh, Negar& Garousi, Vahid. 2010. A Tester-Assisted Methodology for Test Redundancy Detection. Advances in Software Engineering،Vol. 2010, no. 2010, pp.1-13.
https://search.emarefa.net/detail/BIM-509302
Modern Language Association (MLA)
Koochakzadeh, Negar& Garousi, Vahid. A Tester-Assisted Methodology for Test Redundancy Detection. Advances in Software Engineering No. 2010 (2010), pp.1-13.
https://search.emarefa.net/detail/BIM-509302
American Medical Association (AMA)
Koochakzadeh, Negar& Garousi, Vahid. A Tester-Assisted Methodology for Test Redundancy Detection. Advances in Software Engineering. 2010. Vol. 2010, no. 2010, pp.1-13.
https://search.emarefa.net/detail/BIM-509302
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-509302