A model-based approach to systematic review of research literature

BARAT, Souvik, CLARK, Tony, BARN, Balbir S. and KULKARNI, Vinay (2017). A model-based approach to systematic review of research literature. In: GORTHI, Ravi Prakash, SARKAR, Santonu, MEDVIDOVIC, Nenad, KULKARNI, Vinay, KUMAR, Atul, JOSHI, Padmaja, INVERARDI, Paola, SUREKA, Ashish and SHARMA, Richa, (eds.) Proceedings of the 10th Innovations in Software Engineering Conference, ISEC 2017, Jaipur, India, February 5-7, 2017. New York, ACM Digital Library, 15-25.

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Abstract

A systematic approach to develop a literature review is at- tractive because it aims to achieve a repeatable, unbiased and evidence-based outcome. However the existing form of systematic reviews 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 ap- proach uses a domain-specific language expressed as a meta- model to represent research literature, a meta-model to spec- ify 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:	Book Section
Departments - Does NOT include content added after October 2018:	Faculty of Science, Technology and Arts > Department of Computing
Identification Number:	https://doi.org/10.1145/3021460.3021462
Page Range:	15-25
Depositing User:	Tony Clark
Date Deposited:	31 Jan 2017 10:52
Last Modified:	18 Mar 2021 06:05
URI:	https://shura.shu.ac.uk/id/eprint/14958

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