Conference Information
VISSOFT 2019: IEEE Working Conference on Software Visualization
http://vissoft19.dcc.uchile.cl/
Submission Date:
2019-05-10 Extended
Notification Date:
2019-06-10
Conference Date:
2019-09-30
Location:
Cleveland, Ohio, USA
Years:
7
CORE: b   Viewed: 6642   Tracked: 3   Attend: 0

Conference Location
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Call For Papers
About IEEE VISSOFT 2019

The seventh IEEE Working Conference on Software Visualization (VISSOFT 2019) builds upon the success of the previous five editions of VISSOFT, which in turn followed after six editions of the IEEE International Workshop on Visualizing Software for Understanding and Analysis (VISSOFT) and five editions of the ACM Symposium on Software Visualization (SOFTVIS). In 2019, VISSOFT will again be co-located with ICSME in Cleveland, Ohio, USA.

Aims and Scope

Software visualization is a broad research area encompassing concepts, methods, tools, and techniques that assist in a range of software engineering and software development activities. Covered aspects include the development and evaluation of approaches for visually analyzing software and software systems, including their structure, execution behavior, and evolution.

The VISSOFT IEEE Working Conference on Software Visualization continues the history of the ACM SOFTVIS Symposium on Software Visualization and the IEEE VISSOFT International Workshop on Visualizing Software for Understanding and Analysis. The conference focuses on visualization techniques that target aspects of software maintenance and evolution, program comprehension, reverse engineering, and reengineering, i.e., how visualization helps professionals to understand, analyze, test and evolve software. We aim to gather tool developers, experts, users, and researchers from software engineering, information visualization, computer graphics, and human-computer interaction to discuss theoretical foundations, algorithms, techniques, tools, and applications related to software visualization. We seek technical papers, empirical studies, applications, or case studies and provide a platform for presenting novel research ideas and tools.
Last updated by Dou Sun in 2019-04-27
Acceptance Ratio
YearSubmittedAcceptedAccepted(%)
2005261973.1%
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