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Maleku: An evolutionary visual software analysis tool for providing insights into software evolution

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

12 Scopus citations

Abstract

Software maintenance is a complex process that requires the understanding and comprehension of software project details. It involves the understanding of the evolution of the software project, hundreds of software components and the relationships among software items in the form of inheritance, interface implementation, coupling and cohesion. Consequently, the aim of evolutionary visual software analytics is to support software project managers and developers during software maintenance. It takes into account the mining of evolutionary data, the subsequent analysis of the results produced by the mining process for producing evolution facts, the use of visualizations supported by interaction techniques and the active participation of users. Hence, this paper proposes an evolutionary visual software analytics tool for the exploration and comparison of project structural, interface implementation and class hierarchy data, and the correlation of structural data with metrics, as well as socio-technical relationships. Its main contribution is a tool that automatically retrieves evolutionary software facts and represent them using a scalable visualization design.

Original languageEnglish
Title of host publicationProceedings of the 27th IEEE International Conference on Software Maintenance, ICSM 2011
Pages594-597
Number of pages4
DOIs
StatePublished - 2011
Externally publishedYes
Event27th IEEE International Conference on Software Maintenance, ICSM 2011 - Williamsburg, VA, United States
Duration: 25 Sep 201130 Sep 2011

Publication series

NameIEEE International Conference on Software Maintenance, ICSM

Conference

Conference27th IEEE International Conference on Software Maintenance, ICSM 2011
Country/TerritoryUnited States
CityWilliamsburg, VA
Period25/09/1130/09/11

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