towards evidence-based ontology for supporting systematic literature review
文献类型：会议论文
| 作者 | Sun Yueming ; Yang Ye ; Zhang He ; Zhang Wen ; Wang Qing |
| 出版日期 | 2012 |
| 会议名称 | 16th International Conference on Evaluation and Assessment in Software Engineering, EASE 2012 |
| 会议日期 | May 14, 2012 - May 15, 2012 |
| 会议地点 | Ciudad Real, Spain |
| 关键词 | Engineering Ontology |
| 页码 | 171-175 |
| 中文摘要 | [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. |
| 英文摘要 | [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. |
| 收录类别 | EI |
| 会议录 | IET Seminar Digest
 |
| 语种 | 英语 |
| ISBN号 | 9781849195416 |
| 源URL | [http://ir.iscas.ac.cn/handle/311060/15757]  |
| 专题 | 软件研究所_软件所图书馆_会议论文 |
| 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]. 见:16th International Conference on Evaluation and Assessment in Software Engineering, EASE 2012. Ciudad Real, Spain. May 14, 2012 - May 15, 2012. |
入库方式： OAI收割
来源：软件研究所
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