Previous [ 1] [ 2] [ 3] [ 4] [ 5] [ 6] [ 7] [ 8] [ 9] [ 10] [ 11]

@

Journal of Information Science and Engineering, Vol. 29 No. 1, pp. 17-34 (January 2013)


How Evolutionary Visual Software Analytics Supports Knowledge Discovery*


ANTONIO GONZALEZ-TORRES, FRANCISCO J. GARCIA-PENALVO AND ROBERTO THERON
Department of Computer Science
Faculty of Science
University of Salamanca
Plaza de los Caidos, 37008 Salamanca, Spain

Evolutionary visual software analytics is a specialization of visual analytics. It is aimed at supporting software maintenance processes by aiding the understanding and comprehension of software evolution with the active participation of users. Therefore, it deals with the analysis of software projects that have been under development and maintenance for several years and which are usually formed by thousands of software artifacts, which are also associated to logs from communications, defect-tracking and software configuration management systems. Accordingly, evolutionary visual software analytics aims to assist software developers and software project managers by means of an integral approach that takes into account knowledge extraction techniques as well as visual representations that make use of interaction techniques and linked views. Consequently, this paper discusses the implementation of an architecture based on the evolutionary visual software analytics process and how it supports knowledge discovery during software maintenance tasks.

Keywords: evolutionary visual software analytics, visual software analytics, visual analytics, human-computer interaction, software visualization, software evolution visualization

Full Text () Retrieve PDF document (201301_02.pdf)

Received May 31, 2011; accepted March 31, 2012.
Communicated by Francisco J. Garcia-Penalvo, Ricardo Colomo-Palacios and Jane Yung-Jen Hsu.
* This work was supported by Spanish Government project TIN2010-21695-C02-01, by the Castile and Lion Regional Government through GR47, by the Ministerio de Ciencia e Innovacion of Spain under project FI2- 010-16234 and also by the Ministry of Science and Technology (MICIT) of Costa Rica.