Emotions in the software development process

Wróbel, Michał R.

doi:10.1109/hsi.2013.6577875

Cited by 87 publications

(65 citation statements)

References 17 publications

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“…Frustration, anger, happiness and enthusiasm are emotions that software developers frequently experience during their work [1]. These emotions are commonly intertwined with the progress one makes, such as experiencing positive emotions leading to more progress [2] or the state of being stuck and making no progress leading to frustration [3].…”

Section: Introductionmentioning

confidence: 99%

“…For emotions, researchers have looked at the emotions that developers experience [1], [8], how they might affect productivity [9], [10], and whether one could use interaction logs to predict them [11], [12]. Using biometric sensors, in particular eye-tracking and fMRI, researchers have mainly studied how software developers comprehend code or use tools [13]- [15].…”

Section: Introductionmentioning

confidence: 99%

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Stuck and Frustrated or in Flow and Happy: Sensing Developers' Emotions and Progress

Müller

Fritz

2015

2015 IEEE/ACM 37th IEEE International Conference on Software Engineering

129

133

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Software developers working on change tasks commonly experience a broad range of emotions, ranging from happiness all the way to frustration and anger. Research, primarily in psychology, has shown that for certain kinds of tasks, emotions correlate with progress and that biometric measures, such as electro-dermal activity and electroencephalography data, might be used to distinguish between emotions. In our research, we are building on this work and investigate developers' emotions, progress and the use of biometric measures to classify them in the context of software change tasks. We conducted a lab study with 17 participants working on two change tasks each. Participants were wearing three biometric sensors and had to periodically assess their emotions and progress. The results show that the wide range of emotions experienced by developers is correlated with their progress on the change tasks. Our analysis also shows that we can build a classifier to distinguish between positive and negative emotions in 71.36% and between low and high progress in 67.70% of all cases. These results open up opportunities for improving a developer's productivity. For instance, one could use such a classifier for providing recommendations at opportune moments when a developer is stuck and making no progress. Abstract-Software developers working on change tasks commonly experience a broad range of emotions, ranging from happiness all the way to frustration and anger. Research, primarily in psychology, has shown that for certain kinds of tasks, emotions correlate with progress and that biometric measures, such as electro-dermal activity and electroencephalography data, might be used to distinguish between emotions. In our research, we are building on this work and investigate developers' emotions, progress and the use of biometric measures to classify them in the context of software change tasks. We conducted a lab study with 17 participants working on two change tasks each. Participants were wearing three biometric sensors and had to periodically assess their emotions and progress. The results show that the wide range of emotions experienced by developers is correlated with their perceived progress on the change tasks. Our analysis also shows that we can build a classifier to distinguish between positive and negative emotions in 71.36% and between low and high progress in 67.70% of all cases. These results open up opportunities for improving a developer's productivity. For instance, one could use such a classifier for providing recommendations at opportune moments when a developer is stuck and making no progress.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Stuck and Frustrated or in Flow and Happy: Sensing Developers' Emotions and Progress

Müller

Fritz

2015

2015 IEEE/ACM 37th IEEE International Conference on Software Engineering

129

133

View full text Add to dashboard Cite

show abstract

“…deadlines, pressure from clients, high workload [1]. Some research has been made to show that emotions have impact on software developers' productivity [2]. Moreover, negative emotions such as stress may also influence employers' physical health and their mental state.…”

Section: Introductionmentioning

confidence: 99%

Towards detecting programmers’ stress on the basis of keystroke dynamics

Kołakowska¹

2016

Annals of Computer Science and Information Systems

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Abstract-The article describes the idea of detecting stress among programmers on the basis of keystroke dynamics. An experiment with a group of students of artificial intelligence classes was performed. Two samples of keystroke data were recorded for each case, the first while programming without stress, the second under time pressure. A number of timing and frequency parameters were calculated for each sample. Then statistical analysis was performed to evaluate the significance of keystroke parameters changes. It turned out that some of the defined features might be indicators of being stressed.

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“…Software usability testing can be extended with observation of human emotions [5][6] and it is also possible to measure and optimize software development processes [7][8] [9]. Based on the methods for usability evaluation, it would be possible to evaluate educational software and resources designed for e-learning [10][11] [12].…”

Section: Related Workmentioning

confidence: 99%

Emotion Monitor - Concept, Construction and Lessons Learned

Landowska

2015

Annals of Computer Science and Information Systems

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Abstract-This paper concerns the design and physical construction of an emotion monitor stand for tracking human emotions in Human-Computer Interaction using multi-modal approach. The concept of the stand using cameras, behavioral analysis tools and a set of physiological sensors such as galvanic skin response, blood-volume pulse, temperature, breath and electromyography is presented and followed by details of Emotion Monitor construction at Gdansk University of Technology. Some experiments are reported that were already held at the stand, providing observations on reliability, accuracy and value the stand might provide in human-systems interaction evaluation. The lessons learned at this particular stand might be interesting for the other researchers aiming at emotion monitoring in human-systems interaction.

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Emotions in the software development process

Cited by 87 publications

References 17 publications

Stuck and Frustrated or in Flow and Happy: Sensing Developers' Emotions and Progress

Stuck and Frustrated or in Flow and Happy: Sensing Developers' Emotions and Progress

Towards detecting programmers’ stress on the basis of keystroke dynamics

Emotion Monitor - Concept, Construction and Lessons Learned

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