2023 - Research.com Computer Science in United Kingdom Leader Award
Her primary areas of investigation include Software engineering, Systematic review, Empirical research, Data mining and Context. Her work deals with themes such as Quality, Software maintenance, Software performance testing and Software walkthrough, which intersect with Software engineering. Her research integrates issues of Management science and Software technical review in her study of Systematic review.
Her Management science study integrates concerns from other disciplines, such as Completeness and Process. The study incorporates disciplines such as Empirical process, Field and Raw data in addition to Empirical research. Her studies in Context integrate themes in fields like Data science and Measure.
Her primary areas of study are Software engineering, Systematic review, Software development, Management science and Empirical research. Her Software engineering study combines topics in areas such as Quality, Context, Systems engineering and Software verification and validation, Software construction. Her Systematic review research is multidisciplinary, incorporating perspectives in Domain, Process and Data science.
Her Management science study typically links adjacent topics like Software technical review. Empirical research and Empirical process are commonly linked in her work. Barbara Kitchenham works mostly in the field of Software metric, limiting it down to concerns involving Data mining and, occasionally, Regression analysis.
Her primary scientific interests are in Systematic review, Software engineering, Data science, Empirical research and Context. Her Systematic review research integrates issues from Standard error, Management science and Scope. Her Software engineering study incorporates themes from Data extraction, Software development, Process and Identification.
Her study on Data science also encompasses disciplines like
Barbara Kitchenham focuses on Systematic review, Data science, Empirical research, Software engineering and Context. Her Systematic review research is multidisciplinary, relying on both Mathematics education, Management science and Completeness. Barbara Kitchenham has included themes like Software walkthrough and Best practice in her Management science study.
Her Empirical research course of study focuses on Project management and Observational study, Regression analysis, Cost estimate and Econometrics. Her research integrates issues of Process and Scope in her study of Software engineering. As part of one scientific family, Barbara Kitchenham deals mainly with the area of Context, narrowing it down to issues related to the Project planning, and often Global software development, Risk management and Software peer review.
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Procedures for Performing Systematic Reviews
Barbara Kitchenham.
(2004)
Systematic literature reviews in software engineering - A systematic literature review
Barbara Kitchenham;O. Pearl Brereton;David Budgen;Mark Turner.
(2009)
Lessons from applying the systematic literature review process within the software engineering domain
Pearl Brereton;Barbara A. Kitchenham;David Budgen;Mark Turner.
(2007)
Preliminary guidelines for empirical research in software engineering
B.A. Kitchenham;S.L. Pfleeger;L.M. Pickard;P.W. Jones.
(2002)
Evidence-based software engineering
Barbara A. Kitchenham;Tore Dyba;Magne Jorgensen.
(2004)
Systematic literature reviews in software engineering - A tertiary study
Barbara Kitchenham;Rialette Pretorius;David Budgen;O. Pearl Brereton.
(2010)
Does the technology acceptance model predict actual use? A systematic literature review
Mark Turner;Barbara Kitchenham;Pearl Brereton;Stuart Charters.
(2010)
Software quality: the elusive target [special issues section]
B. Kitchenham;S.L. Pfleeger.
(1996)
Case studies for method and tool evaluation
B. Kitchenham;L. Pickard;S.L. Pfleeger.
(1995)
Towards a framework for software measurement validation
B. Kitchenham;S.L. Pfleeger;N. Fenton.
(1995)
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