Conference proceeding
Testing vs. code inspection vs. what else?: male and female end users' debugging strategies
Proceedings of the SIGCHI Conference on human factors in computing systems, pp 617-626
06 Apr 2008
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Little is known about the strategies end-user programmers use in debugging their programs, and even less is known about gender differences that may exist in these strategies. Without this type of information, designers of end-user programming systems cannot know the "target" at which to aim, if they are to support male and female end-user programmers. We present a study investigating this issue. We asked end-user programmers to debug spreadsheets and to describe their debugging strategies. Using mixed methods, we analyzed their strategies and looked for relationships among participants' strategy choices, gender, and debugging success. Our results indicate that males and females debug in quite different ways, that opportunities for improving support for end-user debugging strategies for both genders are abundant, and that tools currently available to end-user debuggers may be especially deficient in supporting debugging strategies used by females.
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Details
- Title
- Testing vs. code inspection vs. what else?
- Creators
- Neeraja Subrahmaniyan - Oregon State UniversityLaura Beckwith - Oregon State UniversityValentina Grigoreanu - Oregon State UniversityMargaret Burnett - Oregon State UniversitySusan Wiedenbeck - Drexel UniversityVaishnavi Narayanan - Oregon State UniversityKarin Bucht - Oregon State UniversityRussell Drummond - Oregon State UniversityXiaoli Fern - Oregon State UniversityACM
- Publication Details
- Proceedings of the SIGCHI Conference on human factors in computing systems, pp 617-626
- Conference
- SIGCHI Conference on human factors in computing systems
- Series
- CHI '08
- Publisher
- Association for Computing Machinery (ACM)
- Number of pages
- 1
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- [Retired Faculty]
- Web of Science ID
- WOS:000268586100076
- Scopus ID
- 2-s2.0-57649221703
- Other Identifier
- 991019173459604721
UN Sustainable Development Goals (SDGs)
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InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Computer Science, Artificial Intelligence
- Computer Science, Software Engineering