Institutional Repository
| an empirical assessment of a systematic search process for systematic reviews | |
| Zhang He; Babar M.A.; Bai Xu; Li Juan; Huang Liguo | |
| 2011 | |
| Conference Name | 15th Annual Conference on Evaluation and Assessment in Software Engineering, EASE 2011 |
| Source | IET Seminar Digest |
| Pages | 56-65 |
| Conference Date | April 11, |
| Conference Place | Durham, United kingdom |
| Indexed Type | EI |
| ISBN | 9781849195096 |
| Department | (1) National ICT Australia University of New South Wales Australia; (2) IT University of Copenhagen Denmark; (3) Southern Methodist University Dallas TX United States; (4) Institute of Software Chinese Academy of Sciences China |
| English Abstract | Background: Systematic Literature Reviews (SLRs) have been gaining significant attention from Software Engineering (SE) researchers. Several researchers are also working on improving SLR methodology for SE. Objective: The study reported in this paper aims to validate the QGS-based search process for SLR, i.e. whether a more effective (sensitive) and/or productive (precise) search can be achieved by following the QGS-based process. Method: We used a dual-case study, in which each case includes two observations of SE literature search for the same SLR but using and not using the QGS-based approach. The overall sensitivity and precision were calculated for each observation that implemented different search design. Results: The use of QGS-based search process resulted in higher sensitivity and precision in this dual-case study. Conclusions: A systematic search process can help capture more relevant studies as well as save researchers' time spent on literature search activities. Our observations also support that an integrated search strategy is recommended for SLRs in SE to avoid the possible limitations of applying a single (manual or automated) search method.; Background: Systematic Literature Reviews (SLRs) have been gaining significant attention from Software Engineering (SE) researchers. Several researchers are also working on improving SLR methodology for SE. Objective: The study reported in this paper aims to validate the QGS-based search process for SLR, i.e. whether a more effective (sensitive) and/or productive (precise) search can be achieved by following the QGS-based process. Method: We used a dual-case study, in which each case includes two observations of SE literature search for the same SLR but using and not using the QGS-based approach. The overall sensitivity and precision were calculated for each observation that implemented different search design. Results: The use of QGS-based search process resulted in higher sensitivity and precision in this dual-case study. Conclusions: A systematic search process can help capture more relevant studies as well as save researchers' time spent on literature search activities. Our observations also support that an integrated search strategy is recommended for SLRs in SE to avoid the possible limitations of applying a single (manual or automated) search method. |
| Keyword | Computer Software Selection And Evaluation Rating Research |
| Language | 英语 |
| Content Type | 会议论文 |
| URI | http://ir.iscas.ac.cn/handle/311060/16259 |
| Collection | 中国科学院软件研究所 |
| Recommended Citation GB/T 7714 | Zhang He,Babar M.A.,Bai Xu,et al. an empirical assessment of a systematic search process for systematic reviews[C],2011:56-65. |
| Files in This Item: | There are no files associated with this item. | |||||
Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.
Edit Comment