Staff Publications

Staff Publications

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    'Staff publications' is the digital repository of Wageningen University & Research

    'Staff publications' contains references to publications authored by Wageningen University staff from 1976 onward.

    Publications authored by the staff of the Research Institutes are available from 1995 onwards.

    Full text documents are added when available. The database is updated daily and currently holds about 240,000 items, of which 72,000 in open access.

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Record number 531486
Title Smells in software test code : A survey of knowledge in industry and academia
Author(s) Garousi, Vahid; Küçük, Barış
Source Journal of Systems and Software 138 (2018). - ISSN 0164-1212 - p. 52 - 81.
DOI http://dx.doi.org/10.1016/j.jss.2017.12.013
Department(s) Information Technology
Publication type Refereed Article in a scientific journal
Publication year 2018
Keyword(s) Automated testing - Multivocal literature mapping - Software testing - Survey - Systematic mapping - Test anti-patterns - Test automation - Test scripts - Test smells
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.
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