Systematic reviews
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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References 3 · Cited by 43
- Authors
- Kitchenham, B. A.
- Affiliations
- Data61 (AU)
- Corresponding author
- Kitchenham, B.A.
- ORCID
- 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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