Online impact analysis via dynamic compilation technology

Breech, B.; Danalis, Anthony; Shindo, S.; Pollock, Lori

doi:10.1109/icsm.2004.1357834

Cited by 31 publications

(29 citation statements)

References 7 publications

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“…Breech et al [60] proposed an approach for online impact analysis. The authors instrumented a compiler to add callbacks to each function, in order to be able to gather execution data during runtime.…”

Section: ) Execution Tracesmentioning

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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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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Section: ) Execution Tracesmentioning

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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“…Our work partially covers the method by Breech et al for dynamic impact analysis [7]. The authors present an online algorithm for computing dynamic impact sets based on dynamic call graphs, which directly corresponds to the reduced version of our algorithm involving only forward and backward call-indirections (EA call , EA ret ).…”

Section: Related Workmentioning

confidence: 99%

The Dynamic Function Coupling Metric and Its Use in Software Evolution

Beszedes

Gergely

Farago

et al. 2007

11th European Conference on Software Maintenance and Reengineering (CSMR'07)

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“…This method was introduced by [30]. In this technique, execution traces are gathered during runtime, using a complier to add callbacks to each function.…”

Section: Dynamic Dependency Analysis (Dda)mentioning

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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Online impact analysis via dynamic compilation technology

Cited by 31 publications

References 7 publications

A taxonomy for software change impact analysis

A taxonomy for software change impact analysis

The Dynamic Function Coupling Metric and Its Use in Software Evolution

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

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