towards evidence-based ontology for supporting systematic literature review

ISCAS OpenIR

	towards evidence-based ontology for supporting systematic literature review
	Sun Yueming; Yang Ye; Zhang He; Zhang Wen; Wang Qing
	2012
会议名称	16th International Conference on Evaluation and Assessment in Software Engineering, EASE 2012
会议录名称	IET Seminar Digest
页码	171-175
会议日期	May 14, 2012 - May 15, 2012
会议地点	Ciudad Real, Spain
收录类别	EI
ISBN	9781849195416
部门归属	(1) Lab. for Internet Software Technologies Institute of Software Chinese Academy of Sciences Beijing 100080 China; (2) Graduate University Chinese Academy of Sciences Beijing 100039 China; (3) National ICT Australia University of New South Wales Sydney NSW Australia
摘要	[Background]: Systematic Literature Review (SLR) has become an important software engineering research method but costs tremendous efforts. [Aim]: This paper proposes an approach to leverage on empirically evolved ontology to support automating key SLR activities. [Method]: First, we propose an ontology, SLRONT, built on SLR experiences and best practices as a groundwork to capture common terminologies and their relationships during SLR processes; second, we present an extended version of SLRONT, the COSONT and instantiate it with the knowledge and concepts extracted from structured abstracts. Case studies illustrate the details of applying it for supporting SLR steps. [Results]: Results show that through using COSONT, we acquire the same conclusion compared with sheer manual works, but the efforts involved is significantly reduced. [Conclusions]: The approach of using ontology could effectively and efficiently support the conducting of systematic literature review.; [Background]: Systematic Literature Review (SLR) has become an important software engineering research method but costs tremendous efforts. [Aim]: This paper proposes an approach to leverage on empirically evolved ontology to support automating key SLR activities. [Method]: First, we propose an ontology, SLRONT, built on SLR experiences and best practices as a groundwork to capture common terminologies and their relationships during SLR processes; second, we present an extended version of SLRONT, the COSONT and instantiate it with the knowledge and concepts extracted from structured abstracts. Case studies illustrate the details of applying it for supporting SLR steps. [Results]: Results show that through using COSONT, we acquire the same conclusion compared with sheer manual works, but the efforts involved is significantly reduced. [Conclusions]: The approach of using ontology could effectively and efficiently support the conducting of systematic literature review.
关键词	Engineering Ontology
语种	英语
内容类型	会议论文
URI标识	http://ir.iscas.ac.cn/handle/311060/15757
专题	中国科学院软件研究所
推荐引用方式 GB/T 7714	Sun Yueming,Yang Ye,Zhang He,et al. towards evidence-based ontology for supporting systematic literature review[C],2012:171-175.