Generative AI for Software Project Management: Insights from a Review of Software Practitioner Literature
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arXiv
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| Main Authors: | , , , |
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| Format: | Preprint |
| Published: |
2025
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| _version_ | 1866909998511030272 |
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| author | Assalaarachchi, Lakshana Iruni Masood, Zainab Hoda, Rashina Grundy, John |
| author_facet | Assalaarachchi, Lakshana Iruni Masood, Zainab Hoda, Rashina Grundy, John |
| contents | Software practitioners are discussing GenAI transformations in software project management openly and widely. To understand the state of affairs, we performed a grey literature review using 47 publicly available practitioner sources including blogs, articles, and industry reports. We found that software project managers primarily perceive GenAI as an "assistant", "copilot", or "friend" rather than as a "PM replacement", with support of GenAI in automating routine tasks, predictive analytics, communication and collaboration, and in agile practices leading to project success. Practitioners emphasize responsible GenAI usage given concerns such as hallucinations, ethics and privacy, and lack of emotional intelligence and human judgment. We present upskilling requirements for software project managers in the GenAI era mapped to the Project Management Institute's talent triangle. We share key recommendations for both practitioners and researchers. |
| format | Preprint |
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arxiv_https___arxiv_org_abs_2510_10887 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Generative AI for Software Project Management: Insights from a Review of Software Practitioner Literature Assalaarachchi, Lakshana Iruni Masood, Zainab Hoda, Rashina Grundy, John Software Engineering Artificial Intelligence Software practitioners are discussing GenAI transformations in software project management openly and widely. To understand the state of affairs, we performed a grey literature review using 47 publicly available practitioner sources including blogs, articles, and industry reports. We found that software project managers primarily perceive GenAI as an "assistant", "copilot", or "friend" rather than as a "PM replacement", with support of GenAI in automating routine tasks, predictive analytics, communication and collaboration, and in agile practices leading to project success. Practitioners emphasize responsible GenAI usage given concerns such as hallucinations, ethics and privacy, and lack of emotional intelligence and human judgment. We present upskilling requirements for software project managers in the GenAI era mapped to the Project Management Institute's talent triangle. We share key recommendations for both practitioners and researchers. |
| title | Generative AI for Software Project Management: Insights from a Review of Software Practitioner Literature |
| topic | Software Engineering Artificial Intelligence |
| url | https://arxiv.org/abs/2510.10887 |