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MaliciousIDE – software development environment that evokes emotions

Abstract

Emotions affect every aspect of human live, including work. Numerous studies in software engineering have shown that negative emotions can lower the productivity of programmers. Unlike traditional approaches to managing software development, modern methods, such as Agile and Lean, take into account human aspects of programming. To thoroughly investigate the impact of negative emotions on the work of programmers, a malicious integrated development environment (IDE) was developed. This tool allow a observer to trigger malicious behavior of the IDE. Conducted study have proved its usefulness. Participants reported that it mostly invoked frustration and angry

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Category:
Conference activity
Type:
materiały konferencyjne indeksowane w Web of Science
Published in:
Annals of Computer Science and Information Systems no. 15, pages 1009 - 1012,
ISSN: 2300-5963
Title of issue:
Proceedings of the 2018 Federated Conference on Computer Science and Information Systems strony 1009 - 1012
Language:
English
Publication year:
2018
Bibliographic description:
Wróbel M., Zielke A..: MaliciousIDE – software development environment that evokes emotions, W: Proceedings of the 2018 Federated Conference on Computer Science and Information Systems, 2018, ,.
DOI:
Digital Object Identifier (open in new tab) 10.15439/2018f311
Bibliography: test
  1. A. Przybyłek and W. Kowalski, "Utilizing online collaborative games to facilitate agile software development," in 2018 Federated Conference on Computer Science and Information Systems (FedCSIS'18). IEEE, 2018. open in new tab
  2. A. Kolakowska, "Towards detecting programmers' stress on the basis of keystroke dynamics," in Computer Science and Information Sys- tems (FedCSIS), 2016 Federated Conference on. IEEE, 2016. doi: 10.15439/2016f263 pp. 1621-1626. open in new tab
  3. K. S. Quigley, K. A. Lindquist, and L. F. Barrett, "Inducing and measuring emotion and affect," Handbook of Research Meth- ods in Social and Personality Psychology, p. 220-252, 2014. doi: 10.1017/CBO9780511996481.014 open in new tab
  4. I. A. Khan, "Mood Independent Programming," in ECCE '07. Proceed- ings of the 14th European conference on Cognitive ergonomics: invent! explore!, no. August, 2007. doi: 10.1145/1362550.1362606 pp. 269-272. open in new tab
  5. I. A. Khan, W.-P. Brinkman, and R. M. Hierons, "Do moods affect programmers' debug performance?" Cognition, Technology & Work, vol. 13, no. 4, pp. 245-258, 2011. doi: 10.1007/s10111-010-0164-1 open in new tab
  6. S. C. Müller and T. Fritz, "Stuck and frustrated or in flow and happy: Sensing developers' emotions and progress," in Software Engineering (ICSE), 2015 IEEE/ACM 37th IEEE International Conference on, vol. 1. IEEE, 2015. doi: 10.1109/icse.2015.334 pp. 688-699. open in new tab
  7. T. Fritz and S. C. Müller, "Leveraging biometric data to boost software developer productivity," in Software Analysis, Evolution, and Reengi- neering (SANER), 2016 IEEE 23rd International Conference on, vol. 5. IEEE, 2016. doi: 10.1109/saner.2016.107 pp. 66-77. open in new tab
  8. S. C. Müller and T. Fritz, "Using (bio) metrics to predict code quality online," in Proceedings of the 38th International Conference on Software Engineering. ACM, 2016. doi: 10.1145/2884781.2884803 pp. 452-463. open in new tab
  9. A. Landowska and M. R. Wróbel, "Affective reactions to playing digital games," in Human System Interactions (HSI), 2015 8th International Conference on. IEEE, 2015. doi: 10.1109/hsi.2015.7170678 pp. 264- 270. open in new tab
  10. A. Kołakowska, "A review of emotion recognition methods based on keystroke dynamics and mouse movements," in Human System Interac- tion (HSI), 2013 The 6th International Conference on. IEEE, 2013. doi: 10.1109/hsi.2013.6577879 pp. 548-555. open in new tab
  11. N. Fragopanagos and J. G. Taylor, "Emotion recognition in human- computer interaction," Neural Networks, vol. 18, no. 4, pp. 389-405, 2005. doi: 10.1016/j.neunet.2005.03.006 open in new tab
  12. H. Gunes and M. Piccardi, "Affect recognition from face and body: early fusion vs. late fusion," in Systems, Man and Cybernetics, 2005 IEEE International Conference on, vol. 4. IEEE, 2005. doi: 10.1109/ic- smc.2005.1571679 pp. 3437-3443. open in new tab
  13. A. Majumder, L. Behera, and V. K. Subramanian, "Emotion recog- nition from geometric facial features using self-organizing map," Pattern Recognition, vol. 47, no. 3, pp. 1282-1293, 2014. doi: 10.1016/j.patcog.2013.10.010 open in new tab
  14. M. A. Sayette, J. F. Cohn, J. M. Wertz, M. A. Perrott, and D. J. Parrott, "A psychometric evaluation of the facial action coding system for assessing spontaneous expression," Journal of Nonverbal Behavior, vol. 25, no. 3, pp. 167-185, 2001. doi: 10.1023/A:1010671109788 open in new tab
  15. A. Landowska, "Emotion monitor-concept, construction and lessons learned," in Computer Science and Information Systems (FedCSIS), 2015 open in new tab
  16. Federated Conference on. IEEE, 2015. doi: 10.15439/2015f264 pp. 75- 80. open in new tab
  17. M. R. Wrobel, "Applicability of emotion recognition and induction methods to study the behavior of programmers," Applied Sciences, vol. 8, no. 3, p. 323, 2018. doi: 10.3390/app8030323 open in new tab
  18. G. Brodny, A. Kołakowska, A. Landowska, M. Szwoch, W. Szwoch, and M. R. Wróbel, "Comparison of selected off-the-shelf solutions for emotion recognition based on facial expressions," in Human System Interactions (HSI), 2016 9th International Conference on. IEEE, 2016. doi: 10.1109/hsi.2016.7529664 pp. 397-404. open in new tab
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