Cover Image

Impacts of Generative AI on Agile Teams' Productivity: A Multi-Case Longitudinal Study

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Tomaz, Rafael, Guenes, Paloma, Araújo, Allysson Allex, Baldassarre, Maria Teresa, Kalinowski, Marcos
Format:	Preprint
Published:	2026
Subjects:	Software Engineering
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

A Quasi-Experimental Evaluation of Coaching to Mitigate the Impostor Phenomenon in Early-Career Software Engineers
by: Guenes, Paloma, et al.
Published: (2026)

Constructive Patterns for Human-Centered Tech Hiring
by: Araújo, Allysson Allex, et al.
Published: (2026)

Embracing Experiential Learning: Hackathons as an Educational Strategy for Shaping Soft Skills in Software Engineering
by: Araújo, Allysson Allex, et al.
Published: (2025)

Can participation in a hackathon impact the motivation of software engineering students? A preliminary case study analysis
by: Araújo, Allysson Allex, et al.
Published: (2024)

Impostor Phenomenon Among Software Engineers: Investigating Gender Differences and Well-Being
by: Guenes, Paloma, et al.
Published: (2025)

Impostor Phenomenon as Human Debt: A Challenge to the Future of Software Engineering
by: Guenes, Paloma, et al.
Published: (2026)

Understanding and measuring software engineer behavior: What can we learn from the behavioral sciences?
by: Araújo, Allysson Allex, et al.
Published: (2024)

Teaching Survey Research in Software Engineering
by: Kalinowski, Marcos, et al.
Published: (2024)

Towards Emotionally Intelligent Software Engineers: Understanding Students' Self-Perceptions After a Cooperative Learning Experience
by: Araújo, Allysson Allex, et al.
Published: (2025)

Investigating the Online Recruitment and Selection Journey of Novice Software Engineers: Anti-patterns and Recommendations
by: Setúbal, Miguel, et al.
Published: (2024)

Towards Effective Collaboration between Software Engineers and Data Scientists developing Machine Learning-Enabled Systems
by: Busquim, Gabriel, et al.
Published: (2024)

Teaching Practically Relevant Research Problem Formulation in Software Engineering with Lean Research Inception
by: Pereira, Anrafel Fernandes, et al.
Published: (2026)

Agile Minds, Innovative Solutions, and Industry-Academia Collaboration: Lean R&D Meets Problem-Based Learning in Software Engineering Education
by: Romao, Lucas, et al.
Published: (2024)

LLM-Assisted Thematic Analysis: Opportunities, Limitations, and Recommendations
by: Ornelas, Tatiane, et al.
Published: (2025)

POLARIS: A framework to guide the development of Trustworthy AI systems
by: Baldassarre, Maria Teresa, et al.
Published: (2024)

Adoption of Large Language Models in Scrum Management: Insights from Brazilian Practitioners
by: Perkusich, Mirko, et al.
Published: (2026)

Towards AI Agents Supported Research Problem Formulation
by: Pereira, Anrafel Fernandes, et al.
Published: (2025)

Investigating the Impact of SOLID Design Principles on Machine Learning Code Understanding
by: Cabral, Raphael, et al.
Published: (2024)

Trustworthy AI in practice: an analysis of practitioners' needs and challenges
by: Baldassarre, Maria Teresa, et al.
Published: (2024)

Can Machine Learning Support the Selection of Studies for Systematic Literature Review Updates?
by: Costalonga, Marcelo, et al.
Published: (2025)

Productivity and Collaboration in Hybrid Agile Teams: An Interview Study
by: Mo, Elisabeth, et al.
Published: (2026)

Applying a Requirements-Focused Agile Management Approach for Machine Learning-Enabled Systems
by: Romao, Lucas, et al.
Published: (2026)

An Empirical Study of Generative AI Adoption in Software Engineering
by: Giray, Görkem, et al.
Published: (2025)

Towards Lean Research Inception: Assessing Practical Relevance of Formulated Research Problems
by: Pereira, Anrafel Fernandes, et al.
Published: (2025)

What Characterizes a Software Leader? Identifying Leadership Practices from Practitioners Social Media
by: Coelho, Murilo, et al.
Published: (2026)

Agile Management for Machine Learning: A Systematic Mapping Study
by: Romao, Lucas, et al.
Published: (2025)

Statistical Confidence in Functional Correctness: An Approach for AI Product Functional Correctness Evaluation
by: Albertini, Wallace, et al.
Published: (2026)

Domain Knowledge in Requirements Engineering: A Systematic Mapping Study
by: Araújo, Marina, et al.
Published: (2025)

Towards an OSF-based Registered Report Template for Software Engineering Controlled Experiments
by: Bett, Ana B. M., et al.
Published: (2026)

The role of team diversity in AI systems development
by: Santos, Ronnie de Souza, et al.
Published: (2026)

The Impact of Team Diversity in Agile Development Education
by: Torchiano, Marco, et al.
Published: (2025)

Between Policy and Practice: GenAI Adoption in Agile Software Development Teams
by: Neumann, Michael, et al.
Published: (2026)

Towards a Framework for Operationalizing the Specification of Trustworthy AI Requirements
by: Villamizar, Hugo, et al.
Published: (2025)

Neurodiversity in Agile Teams: Obstacles and Inclusion Barriers
by: Struck, Lars, et al.
Published: (2026)

An Investigation on How AI-Generated Responses Affect SoftwareEngineering Surveys
by: Santos, Ronnie de Souza, et al.
Published: (2025)

Psychological Antecedents to Emergence of Team Autonomy in Agile Scrum Teams
by: Kalluri, Ravikiran
Published: (2024)

Professional Insights into Benefits and Limitations of Implementing MLOps Principles
by: Araujo, Gabriel, et al.
Published: (2024)

Who "Controls" Where Work Shall be Done? State-of-Practice in Post-Pandemic Remote Work Regulation
by: Smite, Darja, et al.
Published: (2025)

The Agile Coach Role: Coaching for Agile Performance Impact
by: Stray, Viktoria, et al.
Published: (2020)

Patterns for Teaching Agile with Student Projects -- Team and Project Setup
by: Pinho, Daniel, et al.
Published: (2025)