Matias Martinez

Orcid: 0000-0002-2945-866X

According to our database1, Matias Martinez authored at least 75 papers between 2013 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Test-based patch clustering for automatically-generated patches assessment.
Empir. Softw. Eng., September, 2024

The Impact of Hyperparameters on Large Language Model Inference Performance: An Evaluation of vLLM and HuggingFace Pipelines.
CoRR, 2024

The Patch Overfitting Problem in Automated Program Repair: Practical Magnitude and a Baseline for Realistic Benchmarking.
Proceedings of the Companion Proceedings of the 32nd ACM International Conference on the Foundations of Software Engineering, 2024

Electron vs. Web: A Comparative Analysis of Energy and Performance in Communication Apps.
Proceedings of the Quality of Information and Communications Technology, 2024

Energy Consumption of Automated Program Repair.
Proceedings of the 2024 IEEE/ACM 46th International Conference on Software Engineering: Companion Proceedings, 2024

Fine-grained, accurate and scalable source differencing.
Proceedings of the 46th IEEE/ACM International Conference on Software Engineering, 2024

Identifying Architectural Design Decisions for Achieving Green ML Serving.
Proceedings of the IEEE/ACM 3rd International Conference on AI Engineering, 2024

2023
Hyperparameter Optimization for AST Differencing.
IEEE Trans. Software Eng., October, 2023

Toward a theory of program repair.
Acta Informatica, September, 2023

Learning the Relation Between Code Features and Code Transforms With Structured Prediction.
IEEE Trans. Software Eng., July, 2023

Learning migration models for supporting incremental language migrations of software applications.
Inf. Softw. Technol., 2023

Journey to the Center of Software Supply Chain Attacks.
IEEE Secur. Priv., 2023

SoK: Taxonomy of Attacks on Open-Source Software Supply Chains.
Proceedings of the 44th IEEE Symposium on Security and Privacy, 2023

The Hitchhiker's Guide to Malicious Third-Party Dependencies.
Proceedings of the 2023 Workshop on Software Supply Chain Offensive Research and Ecosystem Defenses, 2023

Evolution of Kotlin Apps in terms of Energy Consumption: An Exploratory Study.
Proceedings of the International Conference on ICT for Sustainability, 2023

Energy Efficiency of Training Neural Network Architectures: An Empirical Study.
Proceedings of the 56th Hawaii International Conference on System Sciences, 2023

On the Feasibility of Cross-Language Detection of Malicious Packages in npm and PyPI.
Proceedings of the Annual Computer Security Applications Conference, 2023

2022
Automated Classification of Overfitting Patches With Statically Extracted Code Features.
IEEE Trans. Software Eng., 2022

Why Did Developers Migrate Android Applications From Java to Kotlin?
IEEE Trans. Software Eng., 2022

Estimating the potential of program repair search spaces with commit analysis.
J. Syst. Softw., 2022

Patchworking: Exploring the code changes induced by vulnerability fixing activities.
Inf. Softw. Technol., 2022

A comprehensive study of code-removal patches in automated program repair.
Empir. Softw. Eng., 2022

Taxonomy of Attacks on Open-Source Software Supply Chains.
CoRR, 2022

Towards the Detection of Malicious Java Packages.
Proceedings of the 2022 ACM Workshop on Software Supply Chain Offensive Research and Ecosystem Defenses, 2022

Risk Explorer for Software Supply Chains: Understanding the Attack Surface of Open-Source based Software Development.
Proceedings of the 2022 ACM Workshop on Software Supply Chain Offensive Research and Ecosystem Defenses, 2022

SelfAPR: Self-supervised Program Repair with Test Execution Diagnostics.
Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering, 2022

Is Well-Tested Code More Energy Efficient?
Proceedings of the Workshops at 18th International Conference on Intelligent Environments (IE2022), 2022

Neural Program Repair with Execution-based Backpropagation.
Proceedings of the 44th IEEE/ACM 44th International Conference on Software Engineering, 2022

2021
A Software-Repair Robot Based on Continual Learning.
IEEE Softw., 2021

A comprehensive study of automatic program repair on the QuixBugs benchmark.
J. Syst. Softw., 2021

Automated patch assessment for program repair at scale.
Empir. Softw. Eng., 2021

Rotten green tests in Java, Pharo and Python.
Empir. Softw. Eng., 2021

E-APR: Mapping the effectiveness of automated program repair techniques.
Empir. Softw. Eng., 2021

FLACOCO: Fault Localization for Java based on Industry-grade Coverage.
CoRR, 2021

Megadiff: A Dataset of 600k Java Source Code Changes Categorized by Diff Size.
CoRR, 2021

An experience-based recommendation system to support migrations of Android applications from Java to Kotlin.
CoRR, 2021

A Preliminary Study of the Impact of Code Coverage on Software Energy Consumption.
Proceedings of the 36th IEEE/ACM International Conference on Automated Software Engineering, 2021

2020
R-Hero: A Software Repair Bot based on Continual Learning.
CoRR, 2020

Longitudinal Analysis of the Applicability of Program Repair on Past Commits.
CoRR, 2020

How and Why did developers migrate Android Applications from Java to Kotlin? A study based on code analysis and interviews with developers.
CoRR, 2020

E-APR: Mapping the Effectiveness of Automated Program Repair.
CoRR, 2020

RTj: a Java framework for detecting and refactoring rotten green test cases.
Proceedings of the ICSE '20: 42nd International Conference on Software Engineering, Companion Volume, Seoul, South Korea, 27 June, 2020

On the adoption, usage and evolution of Kotlin features in Android development.
Proceedings of the ESEM '20: ACM / IEEE International Symposium on Empirical Software Engineering and Measurement, 2020

2019
Repairnator patches programs automatically.
Ubiquity, 2019

Astor: Exploring the design space of generate-and-validate program repair beyond GenProg.
J. Syst. Softw., 2019

Alleviating patch overfitting with automatic test generation: a study of feasibility and effectiveness for the Nopol repair system.
Empir. Softw. Eng., 2019

An empirical study on quality of Android applications written in Kotlin language.
Empir. Softw. Eng., 2019

Learning the Relation between Code Features and Code Transforms with Structured Prediction.
CoRR, 2019

Sorting and Transforming Program Repair Ingredients via Deep Learning Code Similarities.
Proceedings of the 26th IEEE International Conference on Software Analysis, 2019

Empirical review of Java program repair tools: a large-scale experiment on 2, 141 bugs and 23, 551 repair attempts.
Proceedings of the ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2019

Program Repair at Arbitrary Fault Depth.
Proceedings of the 12th IEEE Conference on Software Testing, Validation and Verification, 2019

Coming: a tool for mining change pattern instances from git commits.
Proceedings of the 41st International Conference on Software Engineering: Companion Proceedings, 2019

Two datasets of questions and answers for studying the development of cross-platform mobile applications using Xamarin framework.
Proceedings of the 6th International Conference on Mobile Software Engineering and Systems, 2019

2018
Human-competitive Patches in Automatic Program Repair with Repairnator.
CoRR, 2018

A Comprehensive Study of Automatic Program Repair on the QuixBugs Benchmark.
CoRR, 2018

Do Mobile Developers Ask on Q&A Sites About Error Codes Thrown by a Cross-Platform App Development Framework? An Empirical Study.
CoRR, 2018

Ultra-Large Repair Search Space with Automatically Mined Templates: The Cardumen Mode of Astor.
Proceedings of the Search-Based Software Engineering - 10th International Symposium, 2018

2017
Nopol: Automatic Repair of Conditional Statement Bugs in Java Programs.
IEEE Trans. Software Eng., 2017

Automatic repair of real bugs in java: a large-scale experiment on the defects4j dataset.
Empir. Softw. Eng., 2017

Discovering discussion topics about development of cross-platform mobile applications using a cross-compiler development framework.
CoRR, 2017

Open-ended Exploration of the Program Repair Search Space with Mined Templates: the Next 8935 Patches for Defects4J.
CoRR, 2017

Test Case Generation for Program Repair: A Study of Feasibility and Effectiveness.
CoRR, 2017

XamForumDB: a dataset for studying Q&A about cross-platform mobile applications development.
CoRR, 2017

Towards the Quality Improvement of Cross-Platform Mobile Applications.
Proceedings of the 4th IEEE/ACM International Conference on Mobile Software Engineering and Systems, 2017

2016
B-Refactoring: Automatic test code refactoring to improve dynamic analysis.
Inf. Softw. Technol., 2016

ASTOR: a program repair library for Java (demo).
Proceedings of the 25th International Symposium on Software Testing and Analysis, 2016

2015
Mining software repair models for reasoning on the search space of automated program fixing.
Empir. Softw. Eng., 2015

Dynamic Analysis can be Improved with Automatic Test Suite Refactoring.
CoRR, 2015

Automatic Repair of Real Bugs: An Experience Report on the Defects4J Dataset.
CoRR, 2015

When App Stores Listen to the Crowd to Fight Bugs in the Wild.
Proceedings of the 37th IEEE/ACM International Conference on Software Engineering, 2015

2014
Extraction and Analysis of Knowledge for Automatic Software Repair. (Extraction et l'analyse de connaissance pour la réparation automatique de bugs).
PhD thesis, 2014

ASTOR: Evolutionary Automatic Software Repair for Java.
CoRR, 2014

Fine-grained and accurate source code differencing.
Proceedings of the ACM/IEEE International Conference on Automated Software Engineering, 2014

Do the fix ingredients already exist? an empirical inquiry into the redundancy assumptions of program repair approaches.
Proceedings of the 36th International Conference on Software Engineering, 2014

2013
Automatically Extracting Instances of Code Change Patterns with AST Analysis.
Proceedings of the 2013 IEEE International Conference on Software Maintenance, 2013


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