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Software Engineering, International Conference on (2012)
Zurich Switzerland
June 2, 2012 to June 9, 2012
ISSN: 0270-5257
ISBN: 978-1-4673-1066-6
pp: 1044-1053
Renato Novais , Software Engineering Lab, Computer Science Department, Federal University of Bahia, Bahia, Brazil
Camila Nunes , Opus Research Group, Software Engineering Lab, Informatics Department - PUC-Rio, Rio de Janeiro, Brazil
Caio Lima , Software Engineering Lab, Computer Science Department, Federal University of Bahia, Bahia, Brazil
Elder Cirilo , Opus Research Group, Software Engineering Lab, Informatics Department - PUC-Rio, Rio de Janeiro, Brazil
Francisco Dantas , Opus Research Group, Software Engineering Lab, Informatics Department - PUC-Rio, Rio de Janeiro, Brazil
Alessandro Garcia , Opus Research Group, Software Engineering Lab, Informatics Department - PUC-Rio, Rio de Janeiro, Brazil
Manoel Mendonca , Software Engineering Lab, Computer Science Department, Federal University of Bahia, Bahia, Brazil
ABSTRACT
Program comprehension is a key activity through maintenance and evolution of large-scale software systems. The understanding of a program often requires the evolution analysis of individual functionalities, so-called features. The comprehension of evolving features is not trivial as their implementations are often tangled and scattered through many modules. Even worse, existing techniques are limited in providing developers with direct means for visualizing the evolution of features' code. This work presents a proactive and interactive visualization strategy to enable feature evolution analysis. It proactively identifies code elements of evolving features and provides multiple views to present their structure under different perspectives. The novel visualization strategy was compared to a lightweight visualization strategy based on a tree-structure. We ran a controlled experiment with industry developers, who performed feature evolution comprehension tasks on an industrial-strength software. The results showed that the use of the proposed strategy presented significant gains in terms of correctness and execution time for feature evolution comprehension tasks.
INDEX TERMS
Visualization, Color, Industries, Software systems, History, Context
CITATION

R. Novais et al., "On the proactive and interactive visualization for feature evolution comprehension: An industrial investigation," 2012 34th International Conference on Software Engineering (ICSE 2012)(ICSE), Zurich, 2012, pp. 1044-1053.
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