Evolutionary visual software analytics
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This document outlines Antonio González Torres's PhD dissertation on evolutionary visual software analytics. The dissertation was advised by Roberto Therón Sánchez and Francisco J. García Peñalvo and was presented to the Faculty of Science, Department of Computer Science and Automation on May 21, 2015. The dissertation proposes a visual analysis process for software evolution and validation studies including a systematic mapping study, survey of practitioners, and user study. It also presents several visualizations for software evolution data including timelines, revision trees, and socio-technical graphs.
Evolutionary visual software analytics
- 1. EVOLUTIONARY VISUAL SOFTWARE ANALYTICS Antonio González Torres Doctoral Advisors Roberto Therón Sánchez Francisco J. García Peñalvo Ph.D. Dissertation Faculty of Science Department of Computer Science and Automation May 21, 2015
- 10. Research Problem
- 11. Research Problem
- 12. Research Problem
- 14. Research Questions Main Research Question Secondary Research Questions
- 16. Concepts § Software Configuration Management (SCM) § Software Evolution § Software Evolution Analysis
- 19. Visual Analysis Process Keim et al.
- 20. Visual Analysis Process Keim et al.
- 22. Systematic Mapping Study Research Question Inclusion and Exclusion Criteria § Time period of the study: 2007 – 2013 § Papers studied: 219 filtered and revised, 149 papers were evaluated § Relevance of papers § Full papers § Type of proposal or evaluation § Types of data analysis supported § Time period of data under analysis
- 25. Survey to Practioners § Research Question § Participants
- 26. Survey to Practioners Reason for not using visualization tools during software development
- 27. Survey to Practioners Perceived adoption blockers for visualization tools
- 29. Focused Discussion § Scalability and easy to use tools for team awareness and system structure § 66% of the respondents use the basic visualizations included in IDE tools to examine class hierarchies and navigating dependencies § 44.5% make use of the basic version-tree visualization included in SCM tools § Visualization and VA tools must be integrated into IDEs and SCM, in the form of plugins
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- 47. Timelines
- 50. Linear Timeline
- 51. Linear Timeline
- 53. Linear Timeline
- 54. Linear Timeline
- 55. Linear Timeline
- 72. Revision Tree
- 73. Revision Tree
- 74. Revision Tree
- 78. Gridmaster
- 79. Gridmaster
- 85. User Study
- 86. User Study
- 87. User Study
- 89. Conclusions 1. Companies use SCM and bug tracking tools to record and manage data related to maintenance and development processes 2. Simple visualizations are used by the software industry, in their majority, integrated into SCM and IDE tools, but programmers are not aware of the options that these tools have available 3. Research works mostly use software evolution visualization approaches and do not involve user abilities actively 4. Tools needs to be prepared for the analysis of large datasets associated to the evolution of systems
- 90. Conclusions 5. The definition and description of the application of Visual Analytics to Software Evolution was identified, thus it was successfuly defined and validated 6. It is recommended to involve users throughout the design of tools based on the Evolutionary Visual Software Analytics process ü Requirement elicitation ü Design ü Brainstorming reviews ü Evaluations and usability studies
- 91. Future Research 1. Software development is increasingly being developed using cloud based IDEs, SCM and bug tracking tools 2. Programmers and managers require support to understand software system changes and evolution in a similar manner to desktop based development 3. Visual Analytics tools should be integrated into these cloud based tools in the form of plugins or core components
- 92. Publications v Journals: 4 -- Conferences: 9 1. González-Torres, A., García-Peñalvo, F. J., Therón, R, Colomo-Palacios R. Science of Computer Programming, accepted, ISSN: 0167-6423 (Impact factor: 0.548) 2. González-Torres, A., García-Peñalvo, F. J., Therón, R. Human Computer Interaction in Evolutionary Visual Software Analytics. Computers in Human Behavior, vol. 29, no. 2, pages 486-495 (March 2013) ISSN: 0747-5632 (Impact factor: 2:273) 3. González-Torres, A., García-Peñalvo, F. J., Therón, R. How Evolutionary Visual Software Analytics Supports Knowledge Discovery. Journal of Information Science and Engineering, vol. 29, no. 1, pages 17-34 (January, 2013) ISSN: 1016-2364 (Impact factor: 0:333) 4. García, J., Gómez-Aguilar, D. A., González-Torres, A., García-Peñalvo, F. J., Therón, R. A Middleware Framework to Create Data Structures for a Visual Analytics Object Oriented Approach. International Journal of Knowledge and Learning, Vol. 6, no. 2/3 pages 256-267 (2010) ISSN: 1741-1009
- 93. QUESTIONS?
- 94. THANKS!
- 95. EVOLUTIONARY VISUAL SOFTWARE ANALYTICS Antonio González Torres Doctoral Advisors Roberto Therón Sánchez Francisco J. García Peñalvo Ph.D. Dissertation Faculty of Science Department of Computer Science and Automation May 21, 2015