Smells in Software Test Code: a Survey of Knowledge in Industry and Academia

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Date

2018

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Volume Title

Publisher

Elsevier Science inc

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Green Open Access

No

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No
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Top 1%
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Top 1%

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Abstract

As a type of anti-pattern, test smells are defined as poorly designed tests and their presence may negatively affect the quality of test suites and production code. Test smells are the subject of active discussions among practitioners and researchers, and various guidelines to handle smells are constantly offered for smell prevention, smell detection, and smell correction. Since there is a vast grey literature as well as a large body of research studies in this domain, it is not practical for practitioners and researchers to locate and synthesize such a large literature. Motivated by the above need and to find out what we, as the community, know about smells in test code, we conducted a 'multivocal' literature mapping (classification) on both the scientific literature and also practitioners' grey literature. By surveying all the sources on test smells in both industry (120 sources) and academia (46 sources), 166 sources in total, our review presents the largest catalogue of test smells, along with the summary of guidelines/techniques and the tools to deal with those smells. This article aims to benefit the readers (both practitioners and researchers) by serving as an "index" to the vast body of knowledge in this important area, and by helping them develop high-quality test scripts, and minimize occurrences of test smells and their negative consequences in large test automation projects. (C) 2017 Elsevier Inc. All rights reserved.

Description

Garousi, Vahid/0000-0001-6590-7576

Keywords

Software testing, Automated testing, Test automation, Test scripts, Test smells, Test anti-patterns, Multivocal literature mapping, Survey, Systematic mapping, Test scripts, Systematic mapping, Multivocal literature mapping, Test automation, Test smells, Test anti-patterns, Automated testing, Survey, Software testing

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Fields of Science

0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Citation

WoS Q

Q1

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OpenCitations Citation Count
113

Source

Journal of Systems and Software

Volume

138

Issue

Start Page

52

End Page

81

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Citations

CrossRef : 9

Scopus : 143

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Mendeley Readers : 143

SCOPUS™ Citations

143

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Web of Science™ Citations

114

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1

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20.15341338

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