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About

Currently, I'm an Associate Professor at the Faculty of Engineering at University of Porto and an integrated member of the research center HASLab/INESC TEC. My research is mainly focused on aiding end users being more effective and efficient when developing their software systems. In particular, I've made several contributions to improve the effectiveness and efficiency of spreadsheet users/developers. More recently I've also worked on improving software energy consumption through the analysis and transformation of its source code. Currently I'm focused on making data science more accessible for (end) users. Moreover, I'm also studying how to improve the development of software applications based on the microservices architectural style. I obtained my PhD degree in Computer Science from the University of Minho in 2011. Afterward, I was a postdoctoral fellow jointly at University of Minho and Oregon State University, and was also an Invited Professor at School of Management and Technology of Polytechnic Institute of Porto, Assistant Professor at NOVA University of Lisbon and Assistant Professor at University of Minho.

Interest
Topics
Details

Details

  • Name

    Jácome Costa Cunha
  • Cluster

    Computer Science
  • Role

    Researcher
  • Since

    01st November 2011
Publications

2021

Ranking programming languages by energy efficiency

Authors
Pereira, R; Couto, M; Ribeiro, F; Rua, R; Cunha, J; Fernandes, JP; Saraiva, J;

Publication
Science of Computer Programming

Abstract
This paper compares a large set of programming languages regarding their efficiency, including from an energetic point-of-view. Indeed, we seek to establish and analyze different rankings for programming languages based on their energy efficiency. The goal of being able to rank programming languages based on their energy efficiency is both recent, and certainly deserves further studies. We have taken rigorous and strict solutions to 10 well defined programming problems, expressed in (up to) 27 programming languages, from the well known Computer Language Benchmark Game repository. This repository aims to compare programming languages based on a strict set of implementation rules and configurations for each benchmarking problem. We have also built a framework to automatically, and systematically, run, measure and compare the energy, time, and memory efficiency of such solutions. Ultimately, it is based on such comparisons that we propose a series of efficiency rankings, based on single and multiple criteria. Our results show interesting findings, such as how slower/faster languages can consume less/more energy, and how memory usage influences energy consumption. We also present a simple way to use our results to provide software engineers and practitioners support in deciding which language to use when energy efficiency is a concern. In addition, we further validate our results and rankings against implementations from a chrestomathy program repository, Rosetta Code., by reproducing our methodology and benchmarking system. This allows us to understand how the results and conclusions from our rigorously and well defined benchmarked programs compare to those based on more representative and real-world implementations. Indeed our results show that the rankings do not change apart from one programming language. © 2021 Elsevier B.V.

2021

Identification of microservices from monolithic applications through topic modelling

Authors
Brito, M; Cunha, J; Saraiva, J;

Publication
SAC '21: The 36th ACM/SIGAPP Symposium on Applied Computing, Virtual Event, Republic of Korea, March 22-26, 2021

Abstract
Microservices emerged as one of the most popular architectural patterns in the recent years given the increased need to scale, grow and flexibilize software projects accompanied by the growth in cloud computing and DevOps. Many software applications are being submitted to a process of migration from its monolithic architecture to a more modular, scalable and flexible architecture of microservices. This process is slow and, depending on the project's complexity, it may take months or even years to complete. This paper proposes a new approach on microservice identification by resorting to topic modelling in order to identify services according to domain terms. This approach in combination with clustering techniques produces a set of services based on the original software. The proposed methodology is implemented as an open-source tool for exploration of monolithic architectures and identification of microservices. A quantitative analysis using the state of the art metrics on independence of functionality and modularity of services was conducted on 200 open-source projects collected from GitHub. Cohesion at message and domain level metrics' showed medians of roughly 0.6. Interfaces per service exhibited a median of 1.5 with a compact interquartile range. Structural and conceptual modularity revealed medians of 0.2 and 0.4 respectively. Our first results are positive demonstrating beneficial identification of services due to overall metrics' results. © 2021 ACM.

2021

Linear Programming Meets Block-based Languages

Authors
Gião, HD; Cunha, J; Pereira, R;

Publication
IEEE Symposium on Visual Languages and Human-Centric Computing, VL/HCC 2021, St Louis, MO, USA, October 10-13, 2021

Abstract

2021

Refactoring Java Monoliths into Executable Microservice-Based Applications

Authors
Freitas, F; Ferreira, A; Cunha, J;

Publication
SBLP'21: 25th Brazilian Symposium on Programming Languages, Joinville, Brazil, 27 September 2021 - 1 October 2021

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 microservice-based applications. The dramatic growth in popularity of microservice-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 a Java monolithic application into a microservice-based one. Our methodology receives the Java code and a proposition of microservices and refactors the original classes to make each microservice independent. 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 initial evaluation shows that our tool can successfully refactor 80% of the applications tested. © 2021 ACM.

2021

IEEE Symposium on Visual Languages and Human-Centric Computing, VL/HCC 2021, St Louis, MO, USA, October 10-13, 2021

Authors
Harms, KJ; Cunha, J; Oney, S; Kelleher, C;

Publication
VL/HCC

Abstract

Supervised
thesis

2021

Humanized Data Cleaning

Author
José Miguel Silva Dias

Institution
UM

2020

Identification of Microservices from Monolithic Applications through Topic Modelling

Author
Miguel António Ferrão Brito

Institution
UM

2020

Humanized Data Cleaning

Author
José Miguel Silva Dias

Institution
UM

2020

Resiliência em soluções orientadas aos microsserviços

Author
Marco António Rodrigues Oliveira Silva

Institution
UM

2018

Design, Implementation and Evaluation of Model-Driven Spreadsheets

Author
Jorge Cunha Mendes

Institution
UM