On the Precision and Accuracy of Impact Analysis Techniques

Hattori, Lile; Guerrero, Dalton; Figueiredo, Jorge C. A. de; Brunet, João; Damásio, Jemerson Figueiredo

doi:10.1109/icis.2008.104

Cited by 25 publications

(18 citation statements)

References 9 publications

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“…In a similar fashion, Hattori et al [14], [15] examined several impact analysis algorithms which they implemented in their Impala tool. The authors measured the performance of the algorithms using the information retrieval metrics precision and recall, and compared their results against results achieved with the DesginWizard tool.…”

Section: A Previous and Related Studiesmentioning

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: A Previous and Related Studiesmentioning

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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“…Several metrics have been defined to evaluate the accuracy of the CIA (Hattori et al, 2008;Li et al, 2012). Among them, precision and recall are two widely used metrics (Hattori et al, 2008;Li et al, 2012;Poshyvanyk et al, 2009;Sun et al, 2010).…”

Section: Basics Of Ciamentioning

confidence: 99%

Static change impact analysis techniques: A comparative study

Sun

Leung

et al. 2015

Journal of Systems and Software

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“…For each proposed change, we performed impact analysis using our technique and two additional ones: CollectEA, a dynamic technique [1], and Impala, a static technique [3]. To compare them, we extracted from the repository two consecutive versions of each software system: the first, before implementing changes, and the second, after implementing changes.…”

Section: A Experimental Designmentioning

confidence: 99%

“…Overview of Hybrid Technique set, we perform a depth-first search to find other entities that depend on them. We customize the search with a depth parameter (stop condition), to reduce the false-positives [3].…”

Section: A Static Analysismentioning

confidence: 99%

“…Precision and recall are two relative metrics respectively associated to falsepositives and false-negatives. These metrics are popular in the information retrieval domain and we shall restate them here to the impact analysis domain [3]. Precision is the ratio between correctly estimated entities and the total of estimated entities: Precision = |A∩I| |I| .…”

Section: Introductionmentioning

confidence: 99%

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The Hybrid Technique for Object-Oriented Software Change Impact Analysis

Maia

Bittencourt

Figueiredo

et al. 2010

2010 14th European Conference on Software Maintenance and Reengineering

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Change impact analysis techniques that underestimate impact may cause important financial losses from the point of view of an IT services company. Thus, reducing falsenegatives in these techniques is a goal with strong practical relevance. This work presents a technique that uses both static and dynamic analysis of object-oriented source code to improve resulting impact estimates in terms of recall. The technique consists of three steps: static analysis to identify structural dependencies between code entities, dynamic analysis to identify dependencies based on a succession relation derived from execution traces, and a ranking of results from both analyses that takes into account the relevance of dynamic dependencies. Evaluation was performed through prototype development and a multiple-case quantitative case study that compared our solution against a static technique and a dynamic one. Results showed that our hybrid technique improved recall between 90 and 115% compared to the static technique, and between 21.2 and 39% compared to the dynamic one.

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On the Precision and Accuracy of Impact Analysis Techniques

Cited by 25 publications

References 9 publications

A taxonomy for software change impact analysis

A taxonomy for software change impact analysis

Static change impact analysis techniques: A comparative study

The Hybrid Technique for Object-Oriented Software Change Impact Analysis

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