Applying Webmining Techniques to Execution Traces to Support the Program Comprehension Process

Zaidman, Andy; Calders, Toon; Demeyer, Serge; Paredaens, Jan

doi:10.1109/csmr.2005.12

Cited by 56 publications

(47 citation statements)

References 20 publications

(31 reference statements)

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“…Recently a number of novel dynamic analysis techniques that deal with program comprehension have been developed [9,10,22,21]. Most of these techniques have been developed in the context of object-orientation, but we considered it worthwhile to verify whether these techniques could be "transplanted" to the context of procedural systems.…”

Section: Dynamic Analysismentioning

confidence: 99%

“…To overcome the typical problem of coupling measurements -each is between two classes or modules-we add webmining techniques. This makes sure that not only coupling between two separate modules is taken into account, but also a transitive measurement is used for determining the most important modules of a system [21].…”

Section: Dynamic Coupling Based -Webminingmentioning

confidence: 99%

“…Most of these techniques have been developed in the context of object-orientation, but we considered it worthwhile to verify whether these techniques could be "transplanted" to the context of procedural systems. Furthermore, the techniques proposed in [22,21] have previously been validated using publicly available documentation from open source software. In the context of this industrial case study however, we will be able to validate the results with the original developers and current maintainers (see Section 6).…”

Section: Dynamic Analysismentioning

confidence: 99%

“…Our goals are to (1) regain lost knowledge, (2) determine test coverage and (3) identify problematic structures in the source code. We build upon a number of recent dynamic analysis techniques that were originally developed for object-oriented software [22,21].…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Regaining lost knowledge through dynamic analysis and aspect orientation $an industrial experience report

Zaidman

Adams

Schutter

et al. 2006

Conference on Software Maintenance and Reengineering (CSMR'06)

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Section: Dynamic Analysismentioning

confidence: 99%

Section: Dynamic Coupling Based -Webminingmentioning

confidence: 99%

Section: Dynamic Analysismentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Regaining lost knowledge through dynamic analysis and aspect orientation $an industrial experience report

Zaidman

Adams

Schutter

et al. 2006

Conference on Software Maintenance and Reengineering (CSMR'06)

Self Cite

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show abstract

“…Since traces may quickly grow to massive proportions (Zaidman et al 2006b(Zaidman et al , 2005(Zaidman et al , 2006a, we need ways to deal with their size (Cornelissen et al 2009a). We consider two common ways to do so: trace reduction and trace visualization, which are often combined.…”

Section: Trace Analysismentioning

confidence: 99%

Understanding Ajax applications by connecting client and server-side execution traces

et al. 2012

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Ajax-enabled Web applications are a new breed of highly interactive, highly dynamic Web applications. Although Ajax allows developers to create rich Web applications, Ajax applications can be difficult to comprehend and thus to maintain. For this reason, we have created FireDetective, a tool that uses dynamic analysis at both the client (browser) and server-side to facilitate the understanding of Ajax applications. We evaluate FireDetective using (1) a pretest-posttest user study and (2) a field user study. Preliminary evidence shows that the FireDetective tool is an effective aid for Web developers striving to understand Ajax applications.

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Automatic identification of key classes in a software system using webmining techniques

Zaidman

Demeyer

2008

J. Softw. Maint. Evol.: Res. Pract.

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Software engineers new to a project are often stuck sorting through hundreds of classes in order to find those few classes that offer a significant insight into the inner workings of the software project. To help stimulate this process, we propose a technique that can identify the most important classes in a system or the key classes of that system. Software engineers can use these classes to focus their understanding efforts when starting to work on a new software project. Those key classes are typically characterized with having a lot of ‘control’ within the application. In order to find these controlling classes, we present a detection approach that is based on dynamic coupling and webmining. We demonstrate the potential of our technique using two open‐source software systems that have a rich documentation set. During the case studies we use dynamically gathered coupling information that vary between a number of coupling metrics. The case studies show that we are able to retrieve 90% of the classes deemed important by the original maintainers of the systems, while maintaining a level of precision of around 50%. Copyright © 2008 John Wiley & Sons, Ltd.

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Applying Webmining Techniques to Execution Traces to Support the Program Comprehension Process

Abstract: Well-designed object-oriented programs typically con

Cited by 56 publications

References 20 publications

Regaining lost knowledge through dynamic analysis and aspect orientation $an industrial experience report

Regaining lost knowledge through dynamic analysis and aspect orientation $an industrial experience report

Understanding Ajax applications by connecting client and server-side execution traces

Automatic identification of key classes in a software system using webmining techniques

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