Systematic Reviews

By Barbara A. Kitchenham. Diabetes Care, 2011

722 citations recorded by the source corpus.

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.

Subfields: Aerospace Engineering, Small Animals, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/a47963030f70be75b3f72d7bae2d69104f291ad5

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In Aerospace Engineering

  1. Abhijeet Ghadge
  2. Samir Dani
  3. Daniela Pedrosa
  4. John O'Sullivan
  5. Caroline Dominguez
  6. Ciaran McNally
  7. A. Ahern
  8. Roy S. Kalawsky

In Small Animals

  1. Abhijeet Ghadge
  2. Samir Dani
  3. Daniela Pedrosa
  4. John O'Sullivan
  5. Caroline Dominguez
  6. Ciaran McNally
  7. A. Ahern
  8. Roy S. Kalawsky

In Statistics and Probability

  1. Julian P. T. Higgins
  2. Thomas Lumley
  3. K. Rice
  4. Abhijeet Ghadge
  5. Samir Dani
  6. Daniela Pedrosa
  7. John O'Sullivan
  8. Caroline Dominguez

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