Supporting predictive change impact analysis: a control call graph based technique

Badri, Linda; Badri, Mourad; St-Yves, D.

doi:10.1109/apsec.2005.100

Cited by 52 publications

(34 citation statements)

References 13 publications

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“…The proposed approach is called CCGImpact and implemented in the PCIA tool. However, their approach does not yet consider object oriented specifities [31], such as inheritance.…”

Section: ) Call Graphsmentioning

confidence: 99%

“…The goal of the work presented by Badri et al [31] is to increase the precision of call graph based change prediction while keeping the analysis costs on a moderate level. Therefore, they combine static call graphs with static control flow information to so called Control Flow Graphs, to overcome the lack of precision of traditional call graph based approaches.…”

Section: ) Call Graphsmentioning

confidence: 99%

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A taxonomy for software change impact analysis

Lehnert

2011

Proceedings of the 12th International Workshop on Principles of Software Evolution and the 7th Annual ERCIM Workshop on Softwar

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Abstract-Change impact analysis is required for constantly evolving systems to support the comprehension, implementation, and evaluation of changes. A lot of research effort has been spent on this subject over the last twenty years, and many approaches were published likewise. However, there has not been an extensive attempt made to summarize and review published approaches as a base for further research in the area. Therefore, we present the results of a comprehensive investigation of software change impact analysis, which is based on a literature review and a taxonomy for impact analysis. The contribution of this review is threefold. First, approaches proposed for impact analysis are explained regarding their motivation and methodology. They are further classified according to the criteria of the taxonomy to enable the comparison and evaluation of approaches proposed in literature. We perform an evaluation of our taxonomy regarding the coverage of its classification criteria in studied literature, which is the second contribution. Last, we address and discuss yet unsolved problems, research areas, and challenges of impact analysis, which were discovered by our review to illustrate possible directions for further research.

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“…The proposed approach is called CCGImpact and implemented in the PCIA tool. However, their approach does not yet consider object oriented specifities [31], such as inheritance.…”

Section: ) Call Graphsmentioning

confidence: 99%

Section: ) Call Graphsmentioning

confidence: 99%

A taxonomy for software change impact analysis

Lehnert

2011

Proceedings of the 12th International Workshop on Principles of Software Evolution and the 7th Annual ERCIM Workshop on Softwar

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“…Badri et al [3] use the so-called control call graph in which nodes which do not influence the execution of the procedure calls are left out. This approach is similar to ours in that it also considers procedure level dependencies for impact analysis purposes.…”

Section: Other Relevant Workmentioning

confidence: 99%

Static Execute After/Before as a replacement of traditional software dependencies

Jász

Beszedes

Gyimóthy

et al. 2008

2008 IEEE International Conference on Software Maintenance

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“…An approach called CCGImpact, which is implemented in PCIA, was proposed by Badri et al [19], who sought to improve the call graph's accuracy in predicting changes and to keep costs low. Thus, the static call graphs were combined with static control flow information, thereby addressing the lack of precision of traditional call graph-based approaches.…”

Section: Static Dependency Analysismentioning

confidence: 99%

A Dynamic Approach to Visualize the Impacts for Support Selective Testing on Regression Testing

Pourgalehdari¹

2012

IJCA

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Keeping up with the advancement in hardware technology, the size and complexity of software systems are increasing at a rapid rate, thus, making them difficult to maintain, expand, and evolve. To alleviate such difficulties, change impact analysis (CIA) and its implementations has been the subject of research for several years. Generally, CIA facilitates regression testing. Specifically, CIA helps to estimate the potential consequences of a software change, including the affected module(s) and their data dependencies, re-testing needs, as well as the required resource planning. Historically, many CIA implementations use static analysis and traditional text-based impact reporting. Although useful, static based CIA implementations often cited as time-and effort-intensive (e.g. requiring extensive documentation/design search). Dynamic slicing is an option to address the aforementioned issues. However, the volume of analyzable data potentially impedes understanding. Visualization can be a good leverage for improving analyzability and understanding of impact analysis from dynamic slicing.In line with such a prospect, this paper offers a dynamic approach to visualize the impacts for support selective testing on regression testing.

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Supporting predictive change impact analysis: a control call graph based technique

Cited by 52 publications

References 13 publications

A taxonomy for software change impact analysis

A taxonomy for software change impact analysis

Static Execute After/Before as a replacement of traditional software dependencies

A Dynamic Approach to Visualize the Impacts for Support Selective Testing on Regression Testing

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