Assessing Teamwork Dynamics in Software Development Projects
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arXiv
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| Main Authors: | , , , , |
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| Format: | Preprint |
| Published: |
2025
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| _version_ | 1866912467289899008 |
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| author | Berrezueta-Guzman, Santiago Parmacli, Ivan Habib, Mohammad Kasra Krusche, Stephan Wagner, Stefan |
| author_facet | Berrezueta-Guzman, Santiago Parmacli, Ivan Habib, Mohammad Kasra Krusche, Stephan Wagner, Stefan |
| contents | This study investigates teamwork dynamics in student software development projects through a mixed-method approach combining quantitative analysis of GitLab commit logs and qualitative survey data. We analyzed individual contributions across six project phases, comparing self-reported and actual contributions to measure discrepancies. Additionally, a survey captured insights on team leadership, conflict resolution, communication practices, and workload perceptions. Findings reveal that teams with minimal contribution discrepancies achieved higher project grades and exam pass rates. In contrast, teams with more significant discrepancies experienced lower performance, potentially due to role clarity and communication issues. These results underscore the value of shared leadership, structured conflict resolution, and regular feedback in fostering effective teamwork, offering educators strategies to enhance collaboration in software engineering education through self-reflection and balanced workload allocation. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2501_11965 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Assessing Teamwork Dynamics in Software Development Projects Berrezueta-Guzman, Santiago Parmacli, Ivan Habib, Mohammad Kasra Krusche, Stephan Wagner, Stefan Software Engineering This study investigates teamwork dynamics in student software development projects through a mixed-method approach combining quantitative analysis of GitLab commit logs and qualitative survey data. We analyzed individual contributions across six project phases, comparing self-reported and actual contributions to measure discrepancies. Additionally, a survey captured insights on team leadership, conflict resolution, communication practices, and workload perceptions. Findings reveal that teams with minimal contribution discrepancies achieved higher project grades and exam pass rates. In contrast, teams with more significant discrepancies experienced lower performance, potentially due to role clarity and communication issues. These results underscore the value of shared leadership, structured conflict resolution, and regular feedback in fostering effective teamwork, offering educators strategies to enhance collaboration in software engineering education through self-reflection and balanced workload allocation. |
| title | Assessing Teamwork Dynamics in Software Development Projects |
| topic | Software Engineering |
| url | https://arxiv.org/abs/2501.11965 |