VISSOFT 2020 : IEEE Working Conference on Software Visualization

  in Conferences   Posted on June 5, 2020

Conference Information

Submission Deadline Monday 22 Jun 2020 Proceedings indexed by :
Conference Dates Sep 28, 2020 - Sep 29, 2020
Conference Address Adelaide, Australia
Conference & Submission Link http://vissoft20.dcc.uchile.cl/
Conference Organizers : ( Deadline extended ? Click here to edit )

Conference Ranking & Metrics (This is a TOP Conference)

Guide2Research Overall Ranking: 380
Category Rankings
Computational Theory and Mathematics 53
Software Engineering & Programming 122
Graphics & Computer-Aided Design 27
Image Processing & Computer Vision 48
Number of Editions: 8 ( since 2002 )
CORE 2018 Rating: B
DBPL Proceedings

Google Scholar H5-index:
13

Conference Call for Papers

Software visualization is a broad research area whose general goal is to enhance and promote the theory, realization, and evaluation of approaches to visually encode and analyze software systems, including software development practices, evolution, structure, and software runtime behavior. Software visualization is inherently interdisciplinary, drawing on theories and techniques from information visualization and computer graphics and applying these in the software engineering domain.

The VISSOFT conference is principally a venue for publishing and discussing research related to software visualization. VISSOFT brings together a community of researchers from software engineering, information visualization, computer graphics, human-computer interaction, and data science to discuss theoretical foundations, algorithms, techniques, tools, and applications related to software visualization.

This year’s VISSOFT, co-held with ICSME, encourages a variety of submissions that address outstanding challenges in software systems using visualization. This includes technical papers, empirical studies, applications, case studies, and papers that present novel ideas and tools.
Topics of interest include:

Innovative visualization and visual analytics techniques for analysis of software engineering data. This includes source code, dependencies, repositories, developer social networks like StackOverflow and GitHub, mobile app reviews, documentation, runtime logs, and DevOps data.
Visualization to support software development activities, including design, requirements engineering, program comprehension, software testing, and debugging.
Interaction techniques and algorithms for software visualization.
Visualization-based techniques in software engineering education.
Integration of software visualization tools with development environments.
Empirical evaluation of software visualizations, including eye tracking.
Industrial experience with using software visualization.
Applications of new technologies to enhance software visualization, including virtual reality, augmented reality, gamification, and machine learning.
Analytical approaches to understand software-related aspects based on data science concepts

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