Image de couverture de livre

Applying a Requirements-Focused Agile Management Approach for Machine Learning-Enabled Systems

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Romao, Lucas, Xavier, Luiz, Araújo, Júlia Condé, Araújo, Marina Condé, Rodrigues, Ariane, Kalinowski, Marcos
Format:	Preprint
Publié:	2026
Sujets:	Software Engineering
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Domain Knowledge in Requirements Engineering: A Systematic Mapping Study
par: Araújo, Marina, et autres
Publié: (2025)

Statistical Confidence in Functional Correctness: An Approach for AI Product Functional Correctness Evaluation
par: Albertini, Wallace, et autres
Publié: (2026)

Agile Management for Machine Learning: A Systematic Mapping Study
par: Romao, Lucas, et autres
Publié: (2025)

Define-ML: An Approach to Ideate Machine Learning-Enabled Systems
par: Alonso, Silvio, et autres
Publié: (2025)

Towards Effective Collaboration between Software Engineers and Data Scientists developing Machine Learning-Enabled Systems
par: Busquim, Gabriel, et autres
Publié: (2024)

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

Experiences Applying Lean R&D in Industry-Academia Collaboration Projects
par: Kalinowski, Marcos, et autres
Publié: (2025)

LLM-Assisted Thematic Analysis: Opportunities, Limitations, and Recommendations
par: Ornelas, Tatiane, et autres
Publié: (2025)

On the Interaction between Software Engineers and Data Scientists when building Machine Learning-Enabled Systems
par: Busquim, Gabriel, et autres
Publié: (2024)

Impacts of Generative AI on Agile Teams' Productivity: A Multi-Case Longitudinal Study
par: Tomaz, Rafael, et autres
Publié: (2026)

Industrial Practices of Requirements Engineering for ML-Enabled Systems in Brazil
par: Alves, Antonio Pedro Santos, et autres
Publié: (2024)

Embracing Experiential Learning: Hackathons as an Educational Strategy for Shaping Soft Skills in Software Engineering
par: Araújo, Allysson Allex, et autres
Publié: (2025)

Taking a Pulse on How Generative AI is Reshaping the Software Engineering Research Landscape
par: Trinkenreich, Bianca, et autres
Publié: (2026)

Understanding and measuring software engineer behavior: What can we learn from the behavioral sciences?
par: Araújo, Allysson Allex, et autres
Publié: (2024)

Teaching Survey Research in Software Engineering
par: Kalinowski, Marcos, et autres
Publié: (2024)

Towards a Framework for Operationalizing the Specification of Trustworthy AI Requirements
par: Villamizar, Hugo, et autres
Publié: (2025)

Towards Emotionally Intelligent Software Engineers: Understanding Students' Self-Perceptions After a Cooperative Learning Experience
par: Araújo, Allysson Allex, et autres
Publié: (2025)

Professional Insights into Benefits and Limitations of Implementing MLOps Principles
par: Araujo, Gabriel, et autres
Publié: (2024)

Can participation in a hackathon impact the motivation of software engineering students? A preliminary case study analysis
par: Araújo, Allysson Allex, et autres
Publié: (2024)

Investigating the Online Recruitment and Selection Journey of Novice Software Engineers: Anti-patterns and Recommendations
par: Setúbal, Miguel, et autres
Publié: (2024)

Agile Requirement Change Management Model for Global Software Development
par: Koulecar, Neha, et autres
Publié: (2024)

Investigating Issues that Lead to Code Technical Debt in Machine Learning Systems
par: Ximenes, Rodrigo, et autres
Publié: (2025)

Teaching Practically Relevant Research Problem Formulation in Software Engineering with Lean Research Inception
par: Pereira, Anrafel Fernandes, et autres
Publié: (2026)

A Multivocal Literature Review on the Benefits and Limitations of Automated Machine Learning Tools
par: Azevedo, Kelly, et autres
Publié: (2024)

Adoption of Large Language Models in Scrum Management: Insights from Brazilian Practitioners
par: Perkusich, Mirko, et autres
Publié: (2026)

Investigating Benefits and Limitations of Migrating to a Micro-Frontends Architecture
par: Antunes, Fabio, et autres
Publié: (2024)

Attributes of a Great Requirements Engineer
par: Barbosa, Larissa, et autres
Publié: (2024)

DIP-AI: A Discovery Framework for AI Innovation Projects
par: Martins, Mariana Crisostomo, et autres
Publié: (2025)

Naming the Pain in Machine Learning-Enabled Systems Engineering
par: Kalinowski, Marcos, et autres
Publié: (2024)

Understanding Undesirable Attributes of Requirements Engineers: Insights from Practitioners
par: Barbosa, Larissa, et autres
Publié: (2026)

Investigating the Impact of SOLID Design Principles on Machine Learning Code Understanding
par: Cabral, Raphael, et autres
Publié: (2024)

Constructive Patterns for Human-Centered Tech Hiring
par: Araújo, Allysson Allex, et autres
Publié: (2026)

Automated Configuration Synthesis for Machine Learning Models: A git-Based Requirement and Architecture Management System
par: AlShriaf, Abdullatif, et autres
Publié: (2024)

Defining Requirements Strategies in Agile: A Design Science Research Study
par: Muhammad, Amna Pir, et autres
Publié: (2024)

Can Machine Learning Support the Selection of Studies for Systematic Literature Review Updates?
par: Costalonga, Marcelo, et autres
Publié: (2025)

Prototypical Leadership in Agile Software Development
par: Dawood, Jina, et autres
Publié: (2024)

A Quasi-Experimental Evaluation of Coaching to Mitigate the Impostor Phenomenon in Early-Career Software Engineers
par: Guenes, Paloma, et autres
Publié: (2026)

Sustainability of Machine Learning-Enabled Systems: The Machine Learning Practitioner's Perspective
par: De Martino, Vincenzo, et autres
Publié: (2025)

Deriving and Validating Requirements Engineering Principles for Large-Scale Agile Development: An Industrial Longitudinal Study
par: Saeeda, Hina, et autres
Publié: (2026)

Towards an Approach for Specifying Intelligent Systems Involving Foundation Model Based Agents
par: Araújo, Julia, et autres
Publié: (2025)