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Title:
towards evidence-based ontology for supporting systematic literature review
Author: Sun Yueming ; Yang Ye ; Zhang He ; Zhang Wen ; Wang Qing
Source: IET Seminar Digest
Conference Name: 16th International Conference on Evaluation and Assessment in Software Engineering, EASE 2012
Conference Date: May 14, 2012 - May 15, 2012
Issued Date: 2012
Conference Place: Ciudad Real, Spain
Keyword: Engineering ; Ontology
Indexed Type: EI
ISBN: 9781849195416
Department: (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
Abstract: [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.
English Abstract: [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.
Language: 英语
Content Type: 会议论文
URI: http://ir.iscas.ac.cn/handle/311060/15757
Appears in Collections:软件所图书馆_会议论文

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Recommended Citation:
Sun Yueming,Yang Ye,Zhang He,et al. towards evidence-based ontology for supporting systematic literature review[C]. 见:16th International Conference on Evaluation and Assessment in Software Engineering, EASE 2012. Ciudad Real, Spain. May 14, 2012 - May 15, 2012.
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