Self-monitoring of Developers’ Emotions: the Case of Agile Retrospective Meetings

Developers experience a wide range of emotions while creating software. Being able to identify the causes of one’s own and peers’ emotions can equip developers with the ability to regulate their behavior to restore positive moods and productivity. In this paper, we investigate to what extent self-monitoring of emotions can enhance agile retrospective meetings by improving the emotion awareness of participants . To this aim, we conducted a controlled experiment involving three software development teams involving two student teams and one professional developers team . The experiment design involves the collection of biometrics and self-reported information about emotions, which are then visualized before the retrospective meetings to inform discussion using EmoVizPhy, a tool that we designed and implemented for this aim. While students found that self-monitoring helped them recall significant emotional episodes, leading to more meaningful contributions during retrospectives, professional developers perceived limited benefits from this practice . Furthermore, based on the analysis of corrective actions identified by the participants during the study, we hypothesize that self-monitoring of emotions through EmoVizPhy may play a valuable role in facilitating the consolidation of new agile teams for which roles and collaboration dynamics are still being defined.

Authors

Institutions

Publication Details

Journal
ACM Transactions on Software Engineering and Methodology
Published
2025-09-09
DOI
https://doi.org/10.1145/3766064
Primary Topic
Emotion and Mood Recognition
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Self-monitoring of Developers’ Emotions: the Case of Agile Retrospective Meetings

Luigi Quaranta, Nicole Novielli, Alexander Serebrenik, Filippo Lanubile et al.
ACM Transactions on Software Engineering and Methodology
Emotion and Mood Recognition
article

Self-monitoring of Developers’ Emotions: the Case of Agile Retrospective Meetings

Luigi Quaranta, Nicole Novielli, Alexander Serebrenik, Filippo Lanubile, Daniela Grassi
article en

Abstract

Developers experience a wide range of emotions while creating software. Being able to identify the causes of one’s own and peers’ emotions can equip developers with the ability to regulate their behavior to restore positive moods and productivity. In this paper, we investigate to what extent self-monitoring of emotions can enhance agile retrospective meetings by improving the emotion awareness of participants . To this aim, we conducted a controlled experiment involving three software development teams involving two student teams and one professional developers team . The experiment design involves the collection of biometrics and self-reported information about emotions, which are then visualized before the retrospective meetings to inform discussion using EmoVizPhy, a tool that we designed and implemented for this aim. While students found that self-monitoring helped them recall significant emotional episodes, leading to more meaningful contributions during retrospectives, professional developers perceived limited benefits from this practice . Furthermore, based on the analysis of corrective actions identified by the participants during the study, we hypothesize that self-monitoring of emotions through EmoVizPhy may play a valuable role in facilitating the consolidation of new agile teams for which roles and collaboration dynamics are still being defined.

ACM Transactions on Software Engineering and Methodology
University of Bari Aldo Moro (IT), Eindhoven University of Technology (NL)
Openalex Percentile: Top 75%
Emotion and Mood Recognition
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.