AI in Software Engineering: A Survey on Project Management Applications
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Abstract (arXiv)
Artificial Intelligence (AI) refers to the intelligence demonstrated by machines, and within the realm of AI, Machine Learning (ML) stands as a notable subset. ML employs algorithms that undergo training on data sets, enabling them to carry out specific tasks autonomously. Notably, AI holds immense potential in the field of software engineering, particularly in project management and planning. In this literature survey, we explore the use of AI in Software Engineering and summarize previous works in this area. We first review eleven different publications related to this subject, then compare the surveyed works. We then comment on the possible challenges present in the utilization of AI in software engineering and suggest possible further research avenues and the ways in which AI could evolve with software engineering in the future.
Key facts. Cited by 4 papers in the map (data through 14 Oct 2026). First posted on arXiv 27 Jul 2023.
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Citing papers per year: 2024: 1; 2025: 2; 2026: 1.
4 papers.
- 2025OpCode-Based Malware Classification Using Machine Learning and Deep Learning Techniquescited by 1
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- 2025A Human Behavioral Baseline for Collective Governance in Software Projectscited by 0
- 2026Artificial Intelligence in Open Source Software Engineering: A Foundation for Sustainability5 Feb 2026
- 2025A Human Behavioral Baseline for Collective Governance in Software Projects10 Oct 2025
- 2025OpCode-Based Malware Classification Using Machine Learning and Deep Learning Techniques18 Apr 2025
- 2024A Systematic Literature Review on the Use of Machine Learning in Software Engineering19 Jun 2024