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

Mathematics

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