Cited by 43Meta-analysis and systematic reviewsSoftware Engineering Techniques and PracticesSoftware Engineering Research

Systematic reviews

Kitchenham, B.A.·2004·10th International Symposium on Software Metrics, 2004. Proceedings.

Abstract

During the past few years, I have become interested in evidence-based software engineering [5]. The evidence-based paradigm began in medicine and has totally revolutionised medical research [7]. It is now being adopted by a number of humancentered disciplines such as nursing, social policy, education etc. Although I have some reservations about whether software engineering can adopt fully the evidencebased paradigm, I am convinced that we should adopt certain aspects of the approach immediately. In particular, I believe we should adopt systematic review in place of ad hoc literature reviews, and recognise that a systematic review is a research method in its own right. Currently, all PhD students need to conduct a literature review as a part of their research but such reviews are seldom performed with the rigour now being required in other disciplines (including Information Systems Research, [6]). A systematic review is rigorous method of synthesising existing research related to a topic of interest. Quantitative meta-analysis is one form of systematic review, but it is not mandatory to provide a quantitative summary. Systematic reviews aim to provide a synthesis that is complete (with respect to defined criteria) and unbiased. Systematic reviews must be rigorous i.e. be conducted according to a well-defined procedure and open i.e. the research process must be reported in a manner is understandable to other researchers.

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Crossref · 10.1109/metric.2004.1357885

Cites

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References 3 · Cited by 43

Authors
Kitchenham, B. A.
Affiliations
Data61 (AU)
Corresponding author
Kitchenham, B.A.
Venue
10th International Symposium on Software Metrics, 2004. Proceedings.
Publisher
IEEE
Published
2004-12-23
Pages
xii-xii
OpenAlex
W4206221818
Cited by
43
References
3
Citations by year
2026: 1 · 2025: 7 · 2024: 6 · 2023: 11 · 2022: 3 · 2021: 4 · 2019: 2 · 2018: 2 · 2017: 4 · 2015: 1 · 2014: 1
FWCI
0.09
Type
journal article
Language
en
Open access
closed
Locations
IEEE International Software Metrics Symposium (METRICS) (publishedVersion)
Topics
  • Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › Meta-analysis and systematic reviews
  • Physical Sciences › Computer Science › Information Systems › Software Engineering Techniques and Practices
  • Physical Sciences › Computer Science › Information Systems › Software Engineering Research
Keywords
systematic reviews, evidence-based software engineering, meta-analysis, evidence synthesis, information systems research, research methodology

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