A Model-Based Approach to Systematic Review of Research Literature

被引:12
作者
Barat, Souvik [1 ]
Clark, Tony [2 ]
Barn, Balbir [3 ]
Kulkarni, Vinay [1 ]
机构
[1] Tata Consultancy Serv Res, Chennai, Tamil Nadu, India
[2] Sheffield Hallam Univ, Sheffield, S Yorkshire, England
[3] Middlesex Univ, London, England
来源
PROCEEDINGS OF THE 10TH INNOVATIONS IN SOFTWARE ENGINEERING CONFERENCE | 2017年
关键词
Literature Review; Systematic Literature Review; Systematic Mapping Study; Meta Modeling; Model Based Literature Review;
D O I
10.1145/3021460.3021462
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
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.
引用
收藏
页码:15 / 25
页数:11
相关论文
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