B
Barbara Kitchenham
Researcher at Keele University
Publications - 237
Citations - 29634
Barbara Kitchenham is an academic researcher from Keele University. The author has contributed to research in topics: Software development & Systematic review. The author has an hindex of 71, co-authored 233 publications receiving 26140 citations. Previous affiliations of Barbara Kitchenham include University of New South Wales & City University London.
Papers
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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.
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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
Preliminary guidelines for empirical research in software engineering
Barbara Kitchenham,Shari Lawrence Pfleeger,Lesley M. Pickard,Peter W. Jones,D.C. Hoaglin,K. El Emam,J. Rosenberg +6 more
TL;DR: A preliminary set of research guidelines aimed at stimulating discussion among software researchers, intended to assist researchers, reviewers, and meta-analysts in designing, conducting, and evaluating empirical studies.
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.