The Hybrid Technique for Object-Oriented Software Change Impact Analysis

Maia, Mirna Carelli Oliveira; Bittencourt, Roberto A.; Figueiredo, Jorge C. A. de; Guerrero, Dalton

doi:10.1109/csmr.2010.48

Cited by 27 publications

(13 citation statements)

References 5 publications

(13 reference statements)

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“…Similar to the work of Huang and Song [113], [114], Maia et al [116] propose a new approach to combine static and dynamic impact analysis to improve the detection of impacted entities, and to reduce the number of falsepositives. The approach combines execution after sequences with the analysis of program dependencies for impact prediction.…”

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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“…Previous studies have shown that none of them achieved significant precision gain over PI/EAS [7], [28]. SD-IMPALA [29] also explored hybrid DDIA yet it focuses on improving the recall of DDIA and does that at the cost of penalizing precision. It uses call graphs as the static dependence model and is shown even less precise than its predecessor Impala [30] and PI/EAS.…”

Section: Threats To Validitymentioning

confidence: 96%

A framework for cost-effective dependence-based dynamic impact analysis

Cai

Santelices

2015

2015 IEEE 22nd International Conference on Software Analysis, Evolution, and Reengineering (SANER)

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Dynamic impact analysis can greatly assist developers with managing software changes by focusing their attention on the effects of potential changes relative to concrete program executions. While dependence-based dynamic impact analysis (DDIA) provides finer-grained results than traceability-based approaches, traditional DDIA techniques often produce imprecise results, incurring excessive costs thus hindering their adoption in many practical situations.In this paper, we present the design and evaluation of a DDIA framework and its three new instances that offer not only much more precise impact sets but also flexible cost-effectiveness options to meet diverse application needs such as different budgets and levels of detail of results. By exploiting both static dependencies and various dynamic information including method-execution traces, statement coverage, and dynamic points-to data, our techniques achieve that goal at reasonable costs according to our experiment results. Our study also suggests that statement coverage has generally stronger effects on the precision and cost-effectiveness of DDIA than dynamic points-to data.

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“…impact distance, and stop searching if it reaches a certain depth. This technique used in [18] based on a (weak) assumption that if direct impacts have high potential for being true, then those further away will be less likely. Future work would involve investigating other techniques that can be employed to improve our current algorithms.…”

Section: Where N Is the Number Of Intra-agent Dgs (Ie The Sub-graphmentioning

confidence: 99%

“…Precision and recall are the most widely-used metrics in the information retrieval literature and have been recently adapted to the impact analysis setting (e.g. [18]). Precision is defined as the fraction of the estimated impacted entities (i.e.…”

Section: B Experimentsmentioning

confidence: 99%

Automated change impact analysis for agent systems

Dam

Ghose

2011

2011 27th IEEE International Conference on Software Maintenance (ICSM)

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Intelligent agent technology has evolved rapidly over the past few years along with the growing number of agent systems in various domains. Although a substantial amount of work in agent-oriented software engineering has provided methodologies for analysing, designing and implementing agentbased systems, recent studies have highlighted that there has been very little work on maintenance and evolution of agentbased systems. A critical issue in software maintenance and evolution is change impact analysis: determining the potential consequences of a proposed change. There has been a proliferation of techniques proposed to support change impact analysis of procedural or object-oriented systems, but to the best of our knowledge, no such an effort has been made for agent-based software. In this paper, we fill this gap by proposing a framework to support change impact analysis for agent systems. At the core of our framework is the taxonomy of atomic changes which can precisely capture semantic differences between versions of an agent system. We also present a change impact model in the form of an intra-agent dependency graph that represents various dependencies within an agent system. An algorithm to compute the set of entities impacted by a change is also presented. The proposed techniques have been implemented in AgentCIA, a change impact analysis plugin for Jason, one of the most wellknown agent programming platforms.

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The Hybrid Technique for Object-Oriented Software Change Impact Analysis

Cited by 27 publications

References 5 publications

A taxonomy for software change impact analysis

A taxonomy for software change impact analysis

A framework for cost-effective dependence-based dynamic impact analysis

Automated change impact analysis for agent systems

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