A model-based approach to systematic reviews of research literature

Barat, Souvik and Clark, Tony and Barn, Balbir and Kulkarni, Vinay (2017) A model-based approach to systematic reviews of research literature. In: ISEC 2017: Innovations in Software Engineering Conference, 05-07 Feb 2017, Jaipur, India.

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Abstract

A systematic approach to develop a literature review is attractive because it aims to achieve a repeatable, unbiased and evidence-based outcome. However the existing form of systematic review such as Systematic Literature Review (SLR) and Systematic Mapping Study (SMS) are known to be an effort, time, and intellectual intensive endeavour. To address these issues, this paper proposes a model-based approach to Systematic Review (SR) production. The approach uses a domain-specific language expressed as a meta-model to represent research literature, a meta-model to specify SR constructs in a uniform manner, and an associated development process all of which can benefit from computer-based support. The meta-models and process are validated using real-life case study. We claim that the use of meta-modeling and model synthesis lead to a reduction in time, effort and the current dependence on human expertise.

Item Type: Conference or Workshop Item (Paper)
Keywords (uncontrolled): Literature Review; Systematic Literature Review; Systematic Mapping Study; Meta Modeling; Model Based Literature Review
Research Areas: A. > School of Science and Technology > Computer Science
Item ID: 21071
Notes on copyright: © ACM 2017. This is the author's version of the work. It is posted here for your personal use. Not for redistribution. The definitive Version of Record was published in ISEC '17 Proceedings of the 10th Innovations in Software Engineering Conference, http://dx.doi.org/10.1145/10.1145/3021460.3021462
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Depositing User: Balbir Barn
Date Deposited: 10 Jan 2017 11:37
Last Modified: 08 Jan 2018 10:21
URI: http://eprints.mdx.ac.uk/id/eprint/21071

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