Daniel Feitosa

Assistant Professor

Rijksuniversiteit Groningen

Netherlands

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About

Daniel Feitosa is an Assistant Professor at Rijksuniversiteit Groningen, Netherlands. His research areas include technical debt management, graph machine learning, and big data governance, with recent publications focusing on efficient tool support in software development and sustainable tourism. His work explores the intersections of cloud-based applications, source code analysis, and automation in software engineering.

Articles (15)

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2025

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2024

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2021

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2020

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2020

Collaborators (7)

Matina Bibi

University of Western Macedonia

GREECE

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Alexander Chatzigeorgiou

GREECE

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Paris Avgeriou

University of Groningen

NETHERLANDS

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Jie Tan

University of Groningen

NETHERLANDS

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Andrej Zwitter

Professor of Governance and Innovation

University of Groningen

NETHERLANDS

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Diomidis Spinellis

Delft University of Technology

NETHERLANDS

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Vasilios Andrikopoulos

Associate Professor

Rijksuniversiteit Groningen Faculty of Science and Engineering

NETHERLANDS

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Daniel Feitosa

Research Interests

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About

Articles (15)

Understanding practitioners’ reasoning and requirements for efficient tool support in technical debt management

A systematic mapping study on graph machine learning for static source code analysis

Technical debt management automation: State of the art and future perspectives

Mining for cost awareness in the infrastructure as code artifacts of cloud-based applications

A metrics-based approach for selecting among various refactoring candidates

Eclipse Open SmartCLIDE: An end-to-end framework for facilitating service reuse in cloud development

The lifecycle of Technical Debt that manifests in both source code and issue trackers

On measuring coupling between microservices

Digital twins, big data governance, and sustainable tourism

A systematic literature review on the use of big data for sustainable tourism

Does it matter who pays back Technical Debt? An empirical study of self-fixed TD

Software reuse cuts both ways

Evolution of technical debt remediation in Python: A case study on the Apache Software Ecosystem

CODE reuse in practice: Benefiting or harming technical debt

Examining the reuse potentials of IoT application frameworks

Collaborators (7)

Matina Bibi

Alexander Chatzigeorgiou

Paris Avgeriou

Jie Tan

Andrej Zwitter

Diomidis Spinellis

Vasilios Andrikopoulos

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