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Detalhes

Detalhes

  • Nome

    Jácome Costa Cunha
  • Cargo

    Investigador
  • Desde

    01 novembro 2011
Publicações

2025

A Framework for Supporting the Reproducibility of Computational Experiments in Multiple Scientific Domains

Autores
Costa, L; Barbosa, S; Cunha, J;

Publicação
CoRR

Abstract
In recent years, the research community, but also the general public, has raised serious questions about the reproducibility and replicability of scientific work. Since many studies include some kind of computational work, these issues are also a technological challenge, not only in computer science, but also in most research domains. Computational replicability and reproducibility are not easy to achieve due to the variety of computational environments that can be used. Indeed, it is challenging to recreate the same environment via the same frameworks, code, programming languages, dependencies, and so on. We propose a framework, known as SciRep, that supports the configuration, execution, and packaging of computational experiments by defining their code, data, programming languages, dependencies, databases, and commands to be executed. After the initial configuration, the experiments can be executed any number of times, always producing exactly the same results. Our approach allows the creation of a reproducibility package for experiments from multiple scientific fields, from medicine to computer science, which can be re-executed on any computer. The produced package acts as a capsule, holding absolutely everything necessary to re-execute the experiment. To evaluate our framework, we compare it with three state-of-the-art tools and use it to reproduce 18 experiments extracted from published scientific articles. With our approach, we were able to execute 16 (89%) of those experiments, while the others reached only 61%, thus showing that our approach is effective. Moreover, all the experiments that were executed produced the results presented in the original publication. Thus, SciRep was able to reproduce 100% of the experiments it could run. © 2025 The Authors

2025

Modelling sustainability in cyber-physical systems: A systematic mapping study

Autores
Barisic, A; Cunha, J; Ruchkin, I; Moreira, A; Araújo, J; Challenger, M; Savic, D; Amaral, V;

Publicação
SUSTAINABLE COMPUTING-INFORMATICS & SYSTEMS

Abstract
Supporting sustainability through modelling and analysis has become an active area of research in Software Engineering. Therefore, it is important and timely to survey the current state of the art in sustainability in Cyber-Physical Systems (CPS), one of the most rapidly evolving classes of complex software systems. This work presents the findings of a Systematic Mapping Study (SMS) that aims to identify key primary studies reporting on CPS modelling approaches that address sustainability over the last 10 years. Our literature search retrieved 2209 papers, of which 104 primary studies were deemed relevant fora detailed characterisation. These studies were analysed based on nine research questions designed to extract information on sustainability attributes, methods, models/meta-models, metrics, processes, and tools used to improve the sustainability of CPS. These questions also aimed to gather data on domain-specific modelling approaches and relevant application domains. The final results report findings for each of our questions, highlight interesting correlations among them, and identify literature gaps worth investigating in the near future.

2025

Let's Talk About It: Making Scientific Computational Reproducibility Easy

Autores
Costa, L; Barbosa, S; Cunha, J;

Publicação
CoRR

Abstract

2025

A Dataset For Computational Reproducibility

Autores
Costa, L; Barbosa, S; Cunha, J;

Publicação
CoRR

Abstract

2025

Mind the Gap: The Missing Features of the Tools to Support User Studies in Software Engineering

Autores
Costa, L; Barbosa, S; Cunha, J;

Publicação
CoRR

Abstract

Teses
supervisionadas

2023

Deploy-Oriented Specification of Cloud Native Applications

Autor
André Daniel Alves Gomes

Instituição
UP-FEUP

2023

Visually-assisted Decomposition of Monoliths to Microservices

Autor
Breno da Fonseca Salles

Instituição
UP-FEUP

2023

Defining Metrics for the Identification of Microservices in Code Repositories

Autor
Domingos Francisco Panta Junior

Instituição
UP-FEUP

2023

Designing, Implementing, and Deploying a Better Customer-oriented, Secure REST API for Invoicing Software

Autor
Miguel Rodrigues Gomes

Instituição
UP-FEUP

2022

Comparação de plataformas low-code

Autor
Mariana Gonçalves Marques

Instituição
UP-FEUP