Cover Image

Generative AI for Software Project Management: Insights from a Review of Software Practitioner Literature

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Assalaarachchi, Lakshana Iruni, Masood, Zainab, Hoda, Rashina, Grundy, John
Format:	Preprint
Published:	2025
Subjects:	Software Engineering Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Toward Agentic Software Project Management: A Vision and Roadmap
by: Assalaarachchi, Lakshana Iruni, et al.
Published: (2026)

Supplementary File for Software Project Management in the GenAI Era: Insights from a Review of Software Practitioner Literature_V3
by: Assalaarachchi, Lakshana, et al.
Published: (2025)

Walking the Tightrope of LLMs for Software Development: A Practitioners' Perspective
by: Ferino, Samuel, et al.
Published: (2025)

Novice Developers' Perspectives on Adopting LLMs for Software Development: A Systematic Literature Review
by: Ferino, Samuel, et al.
Published: (2025)

The Role of Humour in Software Engineering -- A Literature Review and Preliminary Taxonomy
by: Hidellaarachchi, Dulaji, et al.
Published: (2025)

Towards an Appropriate Level of Reliance on AI: A Preliminary Reliance-Control Framework for AI in Software Engineering
by: Ferino, Samuel, et al.
Published: (2026)

Empathy Guidelines for Improving Practitioner Well-being & Software Engineering Practices
by: Gunatilake, Hashini, et al.
Published: (2025)

The Impact of Human Aspects on the Interactions Between Software Developers and End-Users in Software Engineering: A Systematic Literature Review
by: Gunatilake, Hashini, et al.
Published: (2024)

Toward Agentic Software Engineering Beyond Code: Framing Vision, Values, and Vocabulary
by: Hoda, Rashina
Published: (2025)

Raising AI Ethics Awareness through an AI Ethics Quiz for Software Practitioners
by: Pant, Aastha, et al.
Published: (2024)

Manifestations of Empathy in Software Engineering: How, Why, and When It Matters
by: Gunatilake, Hashini, et al.
Published: (2025)

Navigating Fairness: Practitioners' Understanding, Challenges, and Strategies in AI/ML Development
by: Pant, Aastha, et al.
Published: (2024)

The Role of Empathy in Software Engineering -- A Socio-Technical Grounded Theory
by: Gunatilake, Hashini, et al.
Published: (2025)

The EmpathiSEr: Development and Validation of Software Engineering Oriented Empathy Scales
by: Gunatilake, Hashini, et al.
Published: (2025)

Enablers and Barriers of Empathy in Software Developer and User Interaction: A Mixed Methods Case Study
by: Gunatilake, Hashini, et al.
Published: (2024)

Managing Technical Debt in a Multidisciplinary Data Intensive Software Team: an Observational Case Study
by: Graetsch, Ulrike M., et al.
Published: (2025)

Ethics in AI through the Practitioner's View: A Grounded Theory Literature Review
by: Pant, Aastha, et al.
Published: (2022)

Large Language Models for Software Engineering: A Systematic Literature Review
by: Hou, Xinyi, et al.
Published: (2023)

Rethinking Artifact Evaluation for Software Engineering in the Age of Generative AI
by: Treude, Christoph, et al.
Published: (2026)

"Don't Be Afraid, Just Learn": Insights from Industry Practitioners to Prepare Software Engineers in the Age of Generative AI
by: Otten, Daniel, et al.
Published: (2026)

Managing Human-Centric Software Defects: Insights from GitHub and Practitioners' Perspectives
by: Chauhan, Vedant, et al.
Published: (2024)

Trustworthy AI Software Engineers
by: Aleti, Aldeida, et al.
Published: (2026)

Requirements Engineering for Older Adult Digital Health Software: A Systematic Literature Review
by: Xiao, Yuqing, et al.
Published: (2024)

Qualitative Research Methods in Software Engineering: Past, Present, and Future
by: Seaman, Carolyn, et al.
Published: (2025)

What Does a Software Engineer Look Like? Exploring Societal Stereotypes in LLMs
by: Bano, Muneera, et al.
Published: (2025)

Security Debt in Practice: Nuanced Insights from Practitioners
by: Boufaied, Chaima, et al.
Published: (2025)

Challenges, Adaptations, and Fringe Benefits of Conducting Software Engineering Research with Human Participants during the COVID-19 Pandemic
by: Madugalla, Anuradha, et al.
Published: (2024)

Understanding the Influence of Motivation on Requirements Engineering-related Activities
by: Hidellaarachchi, Dulaji, et al.
Published: (2023)

The Future of Generative AI in Software Engineering: A Vision from Industry and Academia in the European GENIUS Project
by: Gröpler, Robin, et al.
Published: (2025)

From Expectation to Habit: Why Do Software Practitioners Adopt Fairness Toolkits?
by: Voria, Gianmario, et al.
Published: (2024)

On the Replicability and Reproducibility of Deep Learning in Software Engineering
by: Liu, Chao, et al.
Published: (2020)

Software Reuse in the Generative AI Era: From Cargo Cult Towards AI Native Software Engineering
by: Mikkonen, Tommi, et al.
Published: (2025)

Unified Software Engineering Agent as AI Software Engineer
by: Applis, Leonhard, et al.
Published: (2025)

A Systematic Literature Review on Detecting Software Vulnerabilities with Large Language Models
by: Kaniewski, Sabrina, et al.
Published: (2025)

A Gray Literature Study on Fairness Requirements in AI-enabled Software Engineering
by: Nguyen, Thanh, et al.
Published: (2025)

Using LLMs in Software Design: An Empirical Study of GitHub and A Practitioner Survey
by: Wang, Yifei, et al.
Published: (2026)

Future of Code with Generative AI: Transparency and Safety in the Era of AI Generated Software
by: Hanson, David
Published: (2025)

SECite: Analyzing and Summarizing Citations in Software Engineering Literature
by: Pyreddy, Shireesh Reddy, et al.
Published: (2026)

A Systematic Literature Review on Explainability for Machine/Deep Learning-based Software Engineering Research
by: Cao, Sicong, et al.
Published: (2024)

Generative AI and Empirical Software Engineering: A Paradigm Shift
by: Treude, Christoph, et al.
Published: (2025)