When and what to automate in software testing? A multi-vocal literature review
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Within Software Engineering (SE), MLRs are being undertaken as exploratory studies and are seen as beneficial due to the practical nature of the field.
“Within Software Engineering (SE), MLRs are being undertaken as exploratory studies [46] [47] and are seen as beneficial due to the practical nature of the field [43].”
From DevSecOps practices and tools (2025) · cites this paper as [47]
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Scaling agile software development to large and globally distributed large-scale organizations
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Practitioner Evaluations on Software Testing Tools
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- Authors
- Garousi, V., & Mäntylä, M. V.
- Affiliations
- Hacettepe University (TR)
- University of Oulu (FI)
- Corresponding author
- Garousi, Vahid
- Venue
- Information and Software Technology
- Publisher
- Elsevier BV
- Published
- 2016-08
- Volume
- 76
- Pages
- 92-117
- ISSN
- 0950-5849 (ISSN-L)
- OpenAlex
- W2345039647
- Cited by
- 182
- References
- 74
- Citations by year
- 2026: 8 · 2025: 19 · 2024: 12 · 2023: 21 · 2022: 18 · 2021: 21 · 2020: 22 · 2019: 26 · 2018: 18 · 2017: 14 · 2016: 3
- FWCI
- 69.60
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Information and Software Technology (publishedVersion)
- Funders
- Hacettepe University
- Scientific and Technological Research Council of Turkey (115E805)
- Topics
- Physical Sciences › Computer Science › Software › Software Testing and Debugging Techniques
- Physical Sciences › Computer Science › Information Systems › Software Engineering Techniques and Practices
- Physical Sciences › Computer Science › Artificial Intelligence › Advanced Software Engineering Methodologies
- Keywords
- test automation, regression testing, economic factors, software maturity, test tools, human and organizational factors, grey literature
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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