Applied multivariate statistics for the social sciences
Applied multivariate statistics for the social sciences
Requirements traceability in an integrated development environment
RE '95 Proceedings of the Second IEEE International Symposium on Requirements Engineering
The Early Search for Tractable Ways of Reasoning about Programs
IEEE Annals of the History of Computing
A multi-dimensional taxonomy of software development environments
CASCON '93 Proceedings of the 1993 conference of the Centre for Advanced Studies on Collaborative research: software engineering - Volume 1
The emotions of systems developers: an empirical study of affective events theory
Proceedings of the 2004 SIGMIS conference on Computer personnel research: Careers, culture, and ethics in a networked environment
Emotion recognition from physiological signals using wireless sensors for presence technologies
Cognition, Technology and Work
Programmer's mood and their performance
Proceedings of the 13th Eurpoean conference on Cognitive ergonomics: trust and control in complex socio-technical systems
A framework and methodology for studying the causes of software errors in programming systems
Journal of Visual Languages and Computing
Affective and behavioral predictors of novice programmer achievement
ITiCSE '09 Proceedings of the 14th annual ACM SIGCSE conference on Innovation and technology in computer science education
Coarse-grained detection of student frustration in an introductory programming course
ICER '09 Proceedings of the fifth international workshop on Computing education research workshop
Predicting at-risk novice Java programmers through the analysis of online protocols
Proceedings of the seventh international workshop on Computing education research
| Hi-index | 0.01 |
Motivation -- The motivation behind this study is to improve the programmer's coding and debugging performance by considering their moods. Research approach -- This study will use an empirical research approach that involves the use of un-controlled and controlled experimentation. Findings/Design -- The main findings suggest that there is a possible effect of moods on the performance of the programmers' coding and debugging activities. Take away message -- Moods may have an impact on programmer's performance. It may be possible to detect moods on the basis of information regarding the programmer's use of the keyboard and mouse, and to integrate them into development environments that can improve programmer performance.