H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 65 Citations 25,629 149 World Ranking 1124 National Ranking 62

Overview

What is she best known for?

The fields of study she is best known for:

  • Statistics
  • Software engineering
  • Software development

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 most cited work include:

  • Procedures for Performing Systematic Reviews (2112 citations)
  • Systematic literature reviews in software engineering - A systematic literature review (1472 citations)
  • Preliminary guidelines for empirical research in software engineering (1184 citations)

What are the main themes of her work throughout her whole career to date?

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.

She most often published in these fields:

  • Software engineering (35.08%)
  • Systematic review (17.74%)
  • Software development (16.53%)

What were the highlights of her more recent work (between 2010-2021)?

  • Systematic review (17.74%)
  • Software engineering (35.08%)
  • Data science (10.89%)

In recent papers she was focusing on the following fields of study:

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

  • Quasi-experiment and related Software quality and Empirical process,
  • Regression testing, Traceability and Completeness most often made with reference to Unit testing. Her Empirical research study integrates concerns from other disciplines, such as Regression analysis, Project management and Econometrics. Her Context study incorporates themes from Quality, Software as a service, Project planning and Cloud testing.

Between 2010 and 2021, her most popular works were:

  • Using mapping studies as the basis for further research - A participant-observer case study (319 citations)
  • A systematic review of systematic review process research in software engineering (312 citations)
  • Evidence-Based Software Engineering and Systematic Reviews (161 citations)

In her most recent research, the most cited papers focused on:

  • Statistics
  • Software engineering
  • Software development

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.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Top Publications

Procedures for Performing Systematic Reviews

Barbara Kitchenham.
(2004)

5445 Citations

Systematic literature reviews in software engineering - A systematic literature review

Barbara Kitchenham;O. Pearl Brereton;David Budgen;Mark Turner.
Information & Software Technology (2009)

2716 Citations

Lessons from applying the systematic literature review process within the software engineering domain

Pearl Brereton;Barbara A. Kitchenham;David Budgen;Mark Turner.
Journal of Systems and Software (2007)

1970 Citations

Preliminary guidelines for empirical research in software engineering

B.A. Kitchenham;S.L. Pfleeger;L.M. Pickard;P.W. Jones.
IEEE Transactions on Software Engineering (2002)

1820 Citations

Evidence-based software engineering

Barbara A. Kitchenham;Tore Dyba;Magne Jorgensen.
international conference on software engineering (2004)

1105 Citations

Software quality: the elusive target [special issues section]

B. Kitchenham;S.L. Pfleeger.
IEEE Software (1996)

899 Citations

Does the technology acceptance model predict actual use? A systematic literature review

Mark Turner;Barbara Kitchenham;Pearl Brereton;Stuart Charters.
Information & Software Technology (2010)

832 Citations

Case studies for method and tool evaluation

B. Kitchenham;L. Pickard;S.L. Pfleeger.
IEEE Software (1995)

810 Citations

Towards a framework for software measurement validation

B. Kitchenham;S.L. Pfleeger;N. Fenton.
IEEE Transactions on Software Engineering (1995)

808 Citations

Systematic literature reviews in software engineering - A tertiary study

Barbara Kitchenham;Rialette Pretorius;David Budgen;O. Pearl Brereton.
Information & Software Technology (2010)

801 Citations

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking h-index is inferred from publications deemed to belong to the considered discipline.

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