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Journal article
How Does Software Visualization Contribute to Software Comprehension? A Grounded Theory Approach
International journal of human-computer interaction, v 29(11), pp 743-763
02 Nov 2013
Abstract
Despite their ability to synthesize vast amounts of information, software visualization tools are not widely adopted in the software engineering industry. In an effort to investigate the underlying reasons, we conducted a usability study to investigate the affordances of software visualization techniques for the maintenance of complex software systems. Expert programmers were asked to carry out programming tasks with or without using a software visualization tool while their screens and eye gaze patterns were recorded. Statistical analysis of task performance data showed that participants who used the software visualization tool outperformed the control group in terms of task completion time and accuracy. However, quantitative analysis of performance measures did not reveal in what ways software visualizations contributed to this improvement. In an effort to identify the cognitive strategies that underlie this quantitative performance difference, process models grounded in qualitative analysis of eye-tracking data were constructed. The process models indicated that software visualizations guided the subjects in the experiment group toward following specific software comprehension strategies, which account for the difference observed in task performance data.
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Details
- Title
- How Does Software Visualization Contribute to Software Comprehension? A Grounded Theory Approach
- Creators
- Haci Ali Duru - Turkish Military AcademyMurat Perit Cakir - Middle East Technical UniversityVeysi Isler - Middle East Technical University
- Publication Details
- International journal of human-computer interaction, v 29(11), pp 743-763
- Publisher
- Taylor & Francis
- Number of pages
- 21
- Grant note
- TAF-METU Modeling and Simulation Center; Middle East Technical University METU CEIT Eye Tracking Lab; Middle East Technical University
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- School of Biomedical Engineering, Science, and Health Systems
- Web of Science ID
- WOS:000324002000004
- Scopus ID
- 2-s2.0-84884337364
- Other Identifier
- 991019280041704721
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Computer Science, Cybernetics
- Ergonomics