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How software engineering research aligns with design science: a review
- Source :
- Empirical Software Engineering. 25:2630-2660
- Publication Year :
- 2020
- Publisher :
- Springer Science and Business Media LLC, 2020.
-
Abstract
- Background: Assessing and communicating software engineering research can be challenging. Design science is recognized as an appropriate research paradigm for applied research but is seldom referred to in software engineering. Applying the design science lens to software engineering research may improve the assessment and communication of research contributions. Aim: The aim of this study is 1) to understand whether the design science lens helps summarize and assess software engineering research contributions, and 2) to characterize different types of design science contributions in the software engineering literature. Method: In previous research, we developed a visual abstract template, summarizing the core constructs of the design science paradigm. In this study, we use this template in a review of a set of 38 top software engineering publications to extract and analyze their design science contributions. Results: We identified five clusters of papers, classifying them according to their alignment with the design science paradigm. Conclusions: The design science lens helps emphasize the theoretical contribution of research output---in terms of technological rules---and reflect on the practical relevance, novelty, and rigor of the rules proposed by the research.<br />32 pages, 10 figures
- Subjects :
- FOS: Computer and information sciences
business.industry
Computer science
Novelty
020207 software engineering
02 engineering and technology
Design science
Software Engineering (cs.SE)
Set (abstract data type)
Computer Science - Software Engineering
020204 information systems
0202 electrical engineering, electronic engineering, information engineering
Applied research
Relevance (information retrieval)
Software engineering
business
Software
Subjects
Details
- ISSN :
- 15737616 and 13823256
- Volume :
- 25
- Database :
- OpenAIRE
- Journal :
- Empirical Software Engineering
- Accession number :
- edsair.doi.dedup.....35d613b4a568349fda2bb29e39ff4de0