Combined Visualization of Structural and Metric Information for Software Evolution Analysis

Antonio Gonzalez; Roberto Theron; Alexandru Telea; Francisco J. Garcia

Combined Visualization of Structural and Metric Information for Software Evolution Analysis

Antonio Gonzalez, Roberto Theron, Alexandru Telea, Francisco J. Garcia

Research output: Chapter in Book/Report/Conference proceeding › Chapter › Academic

15 Citations (Scopus)

253 Downloads (Pure)

Abstract

This paper discusses a proposal for the visualization of software evolution, with a focus on combining insight on changes that affect software metrics at project and class level, the project structure, the class hierarchy and the viewing of source code correlated to indirect class coupling. The proposed visualization supports several tasks: the comparison of structural information, including class hierarchies, across several revisions; uncovering collaboration patterns between developers; and determining which classes have been added or deleted to the project during the creation of a given revision. We propose and discuss several design elements supporting these tasks, including interaction patterns and linked views.

Original language	English
Title of host publication	EPRINTS-BOOK-TITLE
Publisher	University of Groningen, Johann Bernoulli Institute for Mathematics and Computer Science
Number of pages	5
ISBN (Print)	9781605586786
Publication status	Published - 2009

Keywords

visualization design
visualization of software evolution
structure and metrics visualization

Access to Document

2009ProcIWPSEGonzalez.pdfFinal publisher's version, 1.71 MB

Cite this

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abstract = "This paper discusses a proposal for the visualization of software evolution, with a focus on combining insight on changes that affect software metrics at project and class level, the project structure, the class hierarchy and the viewing of source code correlated to indirect class coupling. The proposed visualization supports several tasks: the comparison of structural information, including class hierarchies, across several revisions; uncovering collaboration patterns between developers; and determining which classes have been added or deleted to the project during the creation of a given revision. We propose and discuss several design elements supporting these tasks, including interaction patterns and linked views.",

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Combined Visualization of Structural and Metric Information for Software Evolution Analysis. / Gonzalez, Antonio; Theron, Roberto; Telea, Alexandru; Garcia, Francisco J.

EPRINTS-BOOK-TITLE. University of Groningen, Johann Bernoulli Institute for Mathematics and Computer Science, 2009.

Research output: Chapter in Book/Report/Conference proceeding › Chapter › Academic

TY - CHAP

T1 - Combined Visualization of Structural and Metric Information for Software Evolution Analysis

AU - Gonzalez, Antonio

AU - Theron, Roberto

AU - Telea, Alexandru

AU - Garcia, Francisco J.

N1 - Relation: http://www.rug.nl/informatica/onderzoek/bernoulli Rights: University of Groningen, Johann Bernoulli Institute for Mathematics and Computer Science

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AB - This paper discusses a proposal for the visualization of software evolution, with a focus on combining insight on changes that affect software metrics at project and class level, the project structure, the class hierarchy and the viewing of source code correlated to indirect class coupling. The proposed visualization supports several tasks: the comparison of structural information, including class hierarchies, across several revisions; uncovering collaboration patterns between developers; and determining which classes have been added or deleted to the project during the creation of a given revision. We propose and discuss several design elements supporting these tasks, including interaction patterns and linked views.

KW - visualization design

KW - visualization of software evolution

KW - structure and metrics visualization

M3 - Chapter

SN - 9781605586786

BT - EPRINTS-BOOK-TITLE

PB - University of Groningen, Johann Bernoulli Institute for Mathematics and Computer Science

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