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Insights Towards Better Case Study Reporting in Software Engineering
Mid Sweden University, Faculty of Science, Technology and Media, Department of Communication, Quality Management, and Information Systems (2023-).ORCID iD: 0000-0002-9348-2912
2024 (English)In: WSESE '24: Proceedings of the 1st IEEE/ACM International Workshop on Methodological Issues with Empirical Studies in Software Engineering, Association for Computing Machinery (ACM), 2024, p. 76-79Conference paper, Published paper (Refereed)
Abstract [en]

Case studies are a popular and noteworthy type of research study in software engineering, offering significant potential to impact industry practices by investigating phenomena in their natural contexts. This potential to reach a broad audience beyond the academic community is often undermined by deficiencies in reporting, particularly in the context description, study classification, generalizability, and the handling of validity threats. This paper presents a reflective analysis aiming to share insights that can enhance the quality and impact of case study reporting.We emphasize the need to follow established guidelines, accurate classification, and detailed context descriptions in case studies. Additionally, particular focus is placed on articulating generalizable findings and thoroughly discussing generalizability threats. We aim to encourage researchers to adopt more rigorous and communicative strategies, ensuring that case studies are methodologically sound, resonate with, and apply to software engineering practitioners and the broader academic community. The reflections and recommendations offered in this paper aim to ensure that insights from case studies are transparent, understandable, and tailored to meet the needs of both academic researchers and industry practitioners. In doing so, we seek to enhance the real-world applicability of academic research, bridging the gap between theoretical research and practical implementation in industry. 

Place, publisher, year, edition, pages
Association for Computing Machinery (ACM), 2024. p. 76-79
Keywords [en]
communication, generalizability, relevance, validity threats
National Category
Software Engineering
Identifiers
URN: urn:nbn:se:miun:diva-52491DOI: 10.1145/3643664.3648208ISI: 001293147200014Scopus ID: 2-s2.0-85203107190ISBN: 9798400705670 (print)OAI: oai:DiVA.org:miun-52491DiVA, id: diva2:1898480
Conference
Proceedings - 2024 IEEE/ACM International Workshop on Methodological Issues with Empirical Studies in Software Engineering, WSESE 2024
Available from: 2024-09-17 Created: 2024-09-17 Last updated: 2025-09-25Bibliographically approved

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Rico, Sergio

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CiteExportLink to record
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Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf