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Context checklist for industrial software engineering research and practice
Blekinge Institute of Technology, Sweden; University of Applied Sciences Flensburg, Germany.
Mälardalen University, Sweden.
RISE Research Institutes of Sweden, Digital Systems, Mobility and Systems.ORCID iD: 0000-0002-5157-8131
Blekinge Institute of Technology, Sweden.
2021 (English)In: Computer Standards & Interfaces, ISSN 0920-5489, E-ISSN 1872-7018, Vol. 78, article id 103541Article in journal (Refereed) Published
Abstract [en]

The relevance of context is particularly stressed in case studies, where it is said that “case study is an empirical method aimed at investigating contemporary phenomena in their context”. In this research, we classify context information and provide a context checklist for industrial software engineering. The checklist serves the purpose of (a) supporting researchers and practitioners in characterizing the context in which they are working; (b) supporting researchers with a checklist to identify relevant contextual information to elicit and report during primary and secondary studies. We utilized a systematic approach for constructing the classification of context information and provided a detailed definition for each item. We collected feedback from researchers as well as practitioners. The usefulness of the checklist was perceived more positively by researchers than practitioners, though they highlighted benefits (raising awareness of the importance of context and usefulness for management). The understandability was perceived positively by both practitioners and researchers. The checklist may serve as a “meta-model”, forming the basis for specific adaptations for different research areas, and as input for researchers deciding which context information to extract in systematic reviews. The checklist may also help researchers in reporting context in research papers.

Place, publisher, year, edition, pages
Elsevier B.V. , 2021. Vol. 78, article id 103541
Keywords [en]
Checklist, Context, Empirical, Evidence-based software engineering, Software engineering, Industrial research, Context information, Contextual information, Empirical method, Industrial software, Research papers, Specific adaptations, Systematic Review, Understandability, Classification (of information)
National Category
Software Engineering
Identifiers
URN: urn:nbn:se:ri:diva-53518DOI: 10.1016/j.csi.2021.103541Scopus ID: 2-s2.0-85106924681OAI: oai:DiVA.org:ri-53518DiVA, id: diva2:1568313
Available from: 2021-06-17 Created: 2021-06-17 Last updated: 2023-05-16Bibliographically approved

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Papatheocharous, Efi

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