research-article

Towards the assessment of stress and emotional responses of a salutogenesis-enhanced software tool using psychophysiological measurements

Authors:

Jan-Peter Ostberg,

Daniel Graziotin,

Birgit DerntlAuthors Info & Claims

SEmotion '17: Proceedings of the 2nd International Workshop on Emotion Awareness in Software Engineering

Pages 22 - 25

Published: 20 May 2017 Publication History

Abstract

Software development is intellectual, based on collaboration, and performed in a highly demanding economic market. As such, it is dominated by time pressure, stress, and emotional trauma. While studies of affect are emerging in software engineering research, stress has yet to find its place in the literature despite that it is highly related to affect. In this paper, we study stress coping with the affect-laden framework of Salutogenesis, which is a validated psychological framework for enhancing mental health through a feeling of coherence. We propose a controlled experiment for testing our hypotheses that a static analysis tool enhanced with the Salutogenesis model will bring 1) a higher number of fixed quality issues, 2) reduced cognitive load, 3) reduction of the overall stress, and 4) positive affect induction effects to developers. The experiment will make use of validated physiological measurements of stress as proxied by cortisol and alpha-amylase levels in saliva samples, a psychometrically validated measurement of mood and affect disposition, and stress inductors such as a cognitive load task. Our hypotheses, if empirically supported, will lead to the creation of environments, methods, and tools that alleviate stress among developers while enhancing affect on the job and task performance.

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Cited By

Menzen JOliveira K(2023)4Experts: A Task Recommendation Approach Using Machine Learning and Biometric DataProceedings of the XIX Brazilian Symposium on Information Systems10.1145/3592813.3592882(1-8)Online publication date: 29-May-2023
https://dl.acm.org/doi/10.1145/3592813.3592882
Graziotin DLenberg PFeldt RWagner S(2021)Psychometrics in Behavioral Software Engineering: A Methodological Introduction with GuidelinesACM Transactions on Software Engineering and Methodology10.1145/346988831:1(1-36)Online publication date: 28-Sep-2021
https://dl.acm.org/doi/10.1145/3469888
Gren LLenberg PLjungberg K(2019)What software engineering can learn from research on affect in social psychologyProceedings of the 4th International Workshop on Emotion Awareness in Software Engineering10.1109/SEmotion.2019.00015(38-41)Online publication date: 28-May-2019
https://dl.acm.org/doi/10.1109/SEmotion.2019.00015

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Published In

cover image ACM Conferences

SEmotion '17: Proceedings of the 2nd International Workshop on Emotion Awareness in Software Engineering

May 2017

74 pages

ISBN:9781538627938

Program Chairs:
Nicole Novielli
University of Bari, Italy
,
Andrew Begel
Microsoft Research
,
Walid Maalej
University of Hamburg, Germany

Sponsors

SIGSOFT: ACM Special Interest Group on Software Engineering
IEEE-CS: Computer Society
SADIO: SADIO

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IEEE Press

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Published: 20 May 2017

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ICSE '17: 39th International Conference on Software Engineering

May 20 - 28, 2017

Buenos Aires, Argentina

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Cited By

Menzen JOliveira K(2023)4Experts: A Task Recommendation Approach Using Machine Learning and Biometric DataProceedings of the XIX Brazilian Symposium on Information Systems10.1145/3592813.3592882(1-8)Online publication date: 29-May-2023
https://dl.acm.org/doi/10.1145/3592813.3592882
Graziotin DLenberg PFeldt RWagner S(2021)Psychometrics in Behavioral Software Engineering: A Methodological Introduction with GuidelinesACM Transactions on Software Engineering and Methodology10.1145/346988831:1(1-36)Online publication date: 28-Sep-2021
https://dl.acm.org/doi/10.1145/3469888
Gren LLenberg PLjungberg K(2019)What software engineering can learn from research on affect in social psychologyProceedings of the 4th International Workshop on Emotion Awareness in Software Engineering10.1109/SEmotion.2019.00015(38-41)Online publication date: 28-May-2019
https://dl.acm.org/doi/10.1109/SEmotion.2019.00015

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