no code implementations • 12 Feb 2024 • Francisco Durán, Silverio Martínez-Fernández, Matias Martinez, Patricia Lago
The aim is to analyze ML serving architectural design decisions for the purpose of understanding and identifying them with respect to quality characteristics from the point of view of researchers and practitioners in the context of ML serving literature.
no code implementations • 2 Feb 2023 • Yinlena Xu, Silverio Martínez-Fernández, Matias Martinez, Xavier Franch
The evaluation of Deep Learning models has traditionally focused on criteria such as accuracy, F1 score, and related measures.
no code implementations • 10 Feb 2020 • Aldeida Aleti, Matias Martinez
We introduce a new approach, Explaining Automated Program Repair (E-APR), which identifies features of buggy programs that explain why a particular instance is difficult for an APR technique.
Software Engineering
1 code implementation • 22 Jul 2019 • Zhongxing Yu, Matias Martinez, Zimin Chen, Tegawendé F. Bissyandé, Martin Monperrus
We instantiate our approach in the context of repair transform prediction for Java programs.
3 code implementations • 28 May 2019 • Thomas Durieux, Fernanda Madeiral, Matias Martinez, Rui Abreu
Our goal is to have a better understanding of the current state of automatic program repair tools on a large diversity of benchmarks.
Software Engineering
2 code implementations • 13 Oct 2018 • Martin Monperrus, Simon Urli, Thomas Durieux, Matias Martinez, Benoit Baudry, Lionel Seinturier
Repairnator is a bot.
Software Engineering
1 code implementation • 31 Jul 2018 • Bruno Gois Mateus, Matias Martinez
Secondly, it aims to measure the quality of Android applications that are written using Kotlin and to compare it with the quality of Android application purely written using Java.
Software Engineering
3 code implementations • 9 May 2018 • He Ye, Matias Martinez, Martin Monperrus
This sets a baseline for future research of automatic repair on QuixBugs.
Software Engineering
1 code implementation • 9 Feb 2018 • Matias Martinez, Martin Monperrus
Our goal is to facilitate the design, development and evaluation of repair approaches by providing a framework that: a) contains components commonly present in approaches implementations thus new approaches can be built over them, b) provides built-in implementations of existing repair approach.
Software Engineering
no code implementations • 27 Dec 2017 • Matias Martinez
Firstly, to present two datasets of questions and answers (Q&A) related to the development of mobile applications using Xamarin.
Software Engineering
2 code implementations • 11 Dec 2017 • Matias Martinez, Martin Monperrus
For that, we design Cardumen, a repair approach based mined templates that has an ultra-large search space.
Software Engineering
1 code implementation • 15 Jul 2017 • Martin White, Michele Tufano, Matias Martinez, Martin Monperrus, Denys Poshyvanyk
We aim to reason about the repair ingredients by using code similarities to prioritize and transform statements in a codebase for patch generation.
Software Engineering
1 code implementation • 5 Jun 2015 • Jifeng Xuan, Benoit Cornu, Matias Martinez, Benoit Baudry, Lionel Seinturier, Martin Monperrus
Results: Experimental results show that test suite refactoring can effectively simplify the execution traces of the test suite.
Software Engineering
1 code implementation • 26 May 2015 • Matias Martinez, Thomas Durieux, Jifeng Xuan, Romain Sommerard, Martin Monperrus
The result of our experiment shows that 47 bugs of the Defects4J dataset can be automatically repaired by state-of- the-art repair.
Software Engineering
2 code implementations • 24 Oct 2014 • Matias Martinez, Martin Monperrus
Context: During last years, many automatic software repair approaches have been presented by the software engineering research community.
Software Engineering