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Retrieving and mining professional experience of software practice from grey literature: An exploratory review
Queen's University Belfast, GBR.
Manchester Metropolitan University, GBR.
Queen's University Belfast, GBR.
Blekinge Institute of Technology, Faculty of Computing, Department of Software Engineering. University of Innsbruck, AUT.ORCID iD: 0000-0003-3818-4442
2020 (English)In: IET Software, ISSN 1751-8806, E-ISSN 1751-8814, Vol. 14, no 6, p. 665-676Article, review/survey (Refereed) Published
Abstract [en]

Retrieving and mining practitioners' self-reports of their professional experience of software practice could provide valuable evidence for research. The authors are, however, unaware of any existing reviews of research conducted in this area. The authors reviewed and classified previous research, and identified insights into the challenges research confronts when retrieving and mining practitioners' self-reports of their experience of software practice. They conducted an exploratory review to identify and classify 42 studies. They analysed a selection of those studies for insights on challenges to mining professional experience. They identified only one directly relevant study. Even then this study concerns the software professional's emotional experiences rather than the professional's reporting of behaviour and events occurring during software practice. They discussed the challenges concerning: the prevalence of professional experience; definitions, models and theories; the sparseness of data; units of discourse analysis; annotator agreement; evaluation of the performance of algorithms; and the lack of replications. No directly relevant prior research appears to have been conducted in this area. They discussed the value of reporting negative results in secondary studies. There are a range of research opportunities but also considerable challenges. They formulated a set of guiding questions for further research in this area. © 2020 Institution of Engineering and Technology. All rights reserved.

Place, publisher, year, edition, pages
John Wiley & Sons, 2020. Vol. 14, no 6, p. 665-676
Keywords [en]
Computer software, Discourse analysis, Emotional experiences, Grey literature, Performance of algorithm, Professional experiences, Research opportunities, Software practices, Professional aspects
National Category
Software Engineering
Identifiers
URN: urn:nbn:se:bth-20880DOI: 10.1049/iet-sen.2020.0109ISI: 000596571800008Scopus ID: 2-s2.0-85097328689OAI: oai:DiVA.org:bth-20880DiVA, id: diva2:1514114
Part of project
SERT- Software Engineering ReThought, Knowledge FoundationAvailable from: 2021-01-04 Created: 2021-01-04 Last updated: 2023-09-15Bibliographically approved

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Felderer, Michael

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