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A survey of code-based change impact analysis techniques
Li, Bixin; Sun, Xiaobing; Leung, Hareton; Zhang, Sai
2013
SourceSOFTWARE TESTING VERIFICATION & RELIABILITY
ISSN0960-0833
Volume23Issue:8Pages:613-646
English AbstractSoftware change impact analysis (CIA) is a technique for identifying the effects of a change, or estimating what needs to be modified to accomplish a change. Since the 1980s, there have been many investigations on CIA, especially for code-based CIA techniques. However, there have been very few surveys on this topic. This article tries to fill this gap. And 30 papers that provide empirical evaluation on 23 code-based CIA techniques are identified. Then, data was synthesized against four research questions. The study presents a comparative framework including seven properties, which characterize the CIA techniques, and identifies key applications of CIA techniques in software maintenance. In addition, the need for further research is also presented in the following areas: evaluating existing CIA techniques and proposing new CIA techniques under the proposed framework, developing more mature tools to support CIA, comparing current CIA techniques empirically with unified metrics and common benchmarks, and applying the CIA more extensively and effectively in the software maintenance phase. Copyright (c) 2012 John Wiley & Sons, Ltd.; Software change impact analysis (CIA) is a technique for identifying the effects of a change, or estimating what needs to be modified to accomplish a change. Since the 1980s, there have been many investigations on CIA, especially for code-based CIA techniques. However, there have been very few surveys on this topic. This article tries to fill this gap. And 30 papers that provide empirical evaluation on 23 code-based CIA techniques are identified. Then, data was synthesized against four research questions. The study presents a comparative framework including seven properties, which characterize the CIA techniques, and identifies key applications of CIA techniques in software maintenance. In addition, the need for further research is also presented in the following areas: evaluating existing CIA techniques and proposing new CIA techniques under the proposed framework, developing more mature tools to support CIA, comparing current CIA techniques empirically with unified metrics and common benchmarks, and applying the CIA more extensively and effectively in the software maintenance phase. Copyright (c) 2012 John Wiley & Sons, Ltd.
Indexed TypeSCI
KeywordChange Impact Analysis Survey Source Code Application
Department[Li, Bixin; Sun, Xiaobing] Southeast Univ, Sch Engn & Comp Sci, Nanjing, Jiangsu, Peoples R China. [Li, Bixin; Sun, Xiaobing] Chinese Acad Sci, Inst Software, State Key Lab Comp Sci, Beijing, Peoples R China. [Leung, Hareton] Hong Kong Polytech Univ, Dept Comp, Hong Kong, Hong Kong, Peoples R China. [Zhang, Sai] Univ Washington, Dept Comp Sci & Engn, Seattle, WA 98195 USA.
Language英语
WOS IDWOS:000326968900003
Citation statistics
Content Type期刊论文
URIhttp://ir.iscas.ac.cn/handle/311060/16898
Collection中国科学院软件研究所
Recommended Citation
GB/T 7714
Li, Bixin,Sun, Xiaobing,Leung, Hareton,et al. A survey of code-based change impact analysis techniques[J]. SOFTWARE TESTING VERIFICATION & RELIABILITY,2013,23(8):613-646.
APA Li, Bixin,Sun, Xiaobing,Leung, Hareton,&Zhang, Sai.(2013).A survey of code-based change impact analysis techniques.SOFTWARE TESTING VERIFICATION & RELIABILITY,23(8),613-646.
MLA Li, Bixin,et al."A survey of code-based change impact analysis techniques".SOFTWARE TESTING VERIFICATION & RELIABILITY 23.8(2013):613-646.
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