Detalhes
Nome
Jácome Costa CunhaCargo
InvestigadorDesde
01 novembro 2011
Nacionalidade
PortugalCentro
Laboratório de Software ConfiávelContactos
+351253604445
jacome.c.cunha@inesctec.pt
2024
Autores
Gião, HD; Flores, A; Pereira, R; Cunha, J;
Publicação
CoRR
Abstract
2023
Autores
Freitas, F; Ferreira, A; Cunha, J;
Publicação
JOURNAL OF COMPUTER LANGUAGES
Abstract
In the last few years we have been seeing a drastic change in the way software is developed. Large-scale software projects are being assembled by a flexible composition of many (small) components possibly written in different programming languages and deployed anywhere in the cloud - the so-called microservices-based applications. The dramatic growth in popularity of microservices-based applications has pushed several companies to apply major refactorings to their software systems. However, this is a challenging task that may take several months or even years. We propose a methodology to automatically evolve monolithic web applications that use object-relational mapping into microservices-based ones. Our methodology receives the source code and a microservices proposal and refactors the original code to create each microservice. Our methodology creates an API for each method call to classes that are in other services. The database entities are also refactored to be included in the corresponding service. The evaluation performed in 120 applications shows that our tool can successfully refactor about 72% of them. The execution of the unit tests in both versions of the applications yield exactly the same results.
2023
Autores
Almeida, AJ; Cunha, J; Fernandes, JM;
Publicação
26th Iberoamerican Conference on Software Engineering, CIbSE 2023, Montevideo, Uruguay, April 24-28, 2023.
Abstract
Although remote work was already possible and used in some contexts, the COVID-19 pandemic made it normal and, in some situations, even mandatory. This was the case in Portugal and in particular in its software industry. Given this abrupt change in how we work, it became pressing to investigate the impacts of this profound change to remote work, so that we can cope with the potential negative consequences (professional, personal, etc.). Thus, the goal of this work is to study the impact of the referred change to remote work, due to the COVID-19 pandemic, on software professionals in Portugal. To achieve this goal, a survey was prepared and distributed via email, LinkedIn, and Instagram. In total, 176 valid answers were collected from software professionals working in Portugal from 38 different companies. After the performed statistical analysis on the targeted population and focusing on the 10 elaborated research questions, two major findings can be concluded with certainty: (i) having worked in a remote regime before the pandemic period has a strong relationship with a higher frequency of use of teleconference tools after this period, and (ii) participants who do not feel safe about coming back to a fully on-site regime are more likely to prefer a fully remote regime than the ones who feel safe, while the latter group is more likely to prefer a hybrid regime. © 2023 CIbSE 2023 - XXVI Ibero-American Conference on Software Engineering. All rights reserved.
2023
Autores
Costa, L; Barbosa, S; Cunha, J;
Publicação
CoRR
Abstract
2023
Autores
Pereira, R; Couto, M; Cunha, J; Melfe, G; Saraiva, J; Fernandes, JP;
Publicação
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Abstract
This tutorial aims to provide knowledge on a different facet of efficiency in data structures: energy efficiency. As many recent studies have shown, the main roadblock in regards to energy efficient software development are the misconceptions and heavy lack of support and knowledge, for energy-aware development, that programmers have. Thus, this tutorial aims at helping provide programmers more knowledge pertaining to the energy efficiency of data structures. We conducted two in-depth studies to analyze the performance and energy efficiency of various data structures from popular programming languages: Haskell and Java. The results show that within the Haskell programming language, the correlation between performance and energy consumption is statistically almost identical, while there are cases with more variation within the Java language. We have presented which data structures are more efficient for common operations, such as inserting and removing elements or iterating over the data structure. The results from our studies can help support developers in better understanding such differences within data structures, allowing them to carefully choose the most adequate implementation based on their requirements and goals. We believe that such results will help further close the gap when discussing the lack of knowledge in energy efficient software development. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.
Teses supervisionadas
2022
Autor
Catarina Mouro de Sousa
Instituição
UP-FEUP
2018
Autor
Francisco José Moura de Bastos Rebelo
Instituição
UP-FEUP
2018
Autor
José Miguel da Silva Rodrigues
Instituição
UP-FEUP
2018
Autor
Ricardo Jorge Tomé Gonçalves
Instituição
UM
2018
Autor
Pedro Miguel Flores Rodrigues
Instituição
UP-FEUP
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