D
David Budgen
Researcher at Durham University
Publications - 131
Citations - 16303
David Budgen is an academic researcher from Durham University. The author has contributed to research in topics: Software development & Social software engineering. The author has an hindex of 37, co-authored 127 publications receiving 13223 citations. Previous affiliations of David Budgen include Keele University.
Papers
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Proceedings ArticleDOI
Performing systematic literature reviews in software engineering
David Budgen,Pearl Brereton +1 more
TL;DR: This tutorial is designed to provide an introduction to the role, form and processes involved in performing Systematic Literature Reviews, and to gain the knowledge needed to conduct systematic reviews of their own.
Journal ArticleDOI
Systematic literature reviews in software engineering - A systematic literature review
Barbara Kitchenham,O. Pearl Brereton,David Budgen,Mark Turner,John W. Bailey,Stephen Linkman +5 more
TL;DR: The series of cost estimation SLRs demonstrate the potential value of EBSE for synthesising evidence and making it available to practitioners and European researchers appear to be the leading exponents of systematic literature reviews.
Journal ArticleDOI
Lessons from applying the systematic literature review process within the software engineering domain
TL;DR: In this article, the authors report experiences with applying one such approach, the practice of systematic literature review, to the published studies relevant to topics within the software engineering domain, and some lessons about the applicability of this practice to software engineering are extracted.
Journal ArticleDOI
Systematic literature reviews in software engineering - A tertiary study
Barbara Kitchenham,Rialette Pretorius,David Budgen,O. Pearl Brereton,Mark Turner,Mahmood Niazi,Stephen Linkman +6 more
TL;DR: SLRs appear to have gone past the stage of being used solely by innovators but cannot yet be considered a main stream software engineering research methodology, such as often failing to assess primary study quality.
Journal ArticleDOI
Does the technology acceptance model predict actual use? A systematic literature review
TL;DR: A systematic literature review based on a search of six digital libraries, along with vote-counting meta-analysis, shows that BI is likely to be correlated with actual usage, but the TAM variables perceived ease of use (PEU) and perceived usefulness (PU) are less likely toBe correlated withactual usage.