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2020 – today
- 2024
[j24]Matias Martinez, Maria Kechagia, Anjana Perera, Justyna Petke
, Federica Sarro, Aldeida Aleti:
Test-based patch clustering for automatically-generated patches assessment. Empir. Softw. Eng. 29(5): 116 (2024)- [c30]Francisco Durán, Silverio Martínez-Fernández, Matias Martinez, Patricia Lago:
Identifying Architectural Design Decisions for Achieving Green ML Serving. CAIN 2024: 18-23 - [c29]Jean-Rémy Falleri, Matias Martinez:
Fine-grained, accurate and scalable source differencing. ICSE 2024: 231:1-231:12 - [c28]Matias Martinez, Silverio Martínez-Fernández, Xavier Franch:
Energy Consumption of Automated Program Repair. ICSE Companion 2024: 358-359 - [c27]Jonathan Thangadurai, Priyeta Saha, Korawit Rupanya, Rosheen Naeem, Alejandro Enriquez, Gian Luca Scoccia, Matias Martinez, Ivano Malavolta:
Electron vs. Web: A Comparative Analysis of Energy and Performance in Communication Apps. QUATIC 2024: 177-193 - [c26]Justyna Petke, Matias Martinez, Maria Kechagia, Aldeida Aleti, Federica Sarro:
The Patch Overfitting Problem in Automated Program Repair: Practical Magnitude and a Baseline for Realistic Benchmarking. SIGSOFT FSE Companion 2024: 452-456 - [i50]Francisco Durán, Silverio Martínez-Fernández, Matias Martinez, Patricia Lago:
Identifying architectural design decisions for achieving green ML serving. CoRR abs/2402.07585 (2024) - [i49]Matias Martinez:
The Impact of Hyperparameters on Large Language Model Inference Performance: An Evaluation of vLLM and HuggingFace Pipelines. CoRR abs/2408.01050 (2024) - [i48]Francisco Durán, Matias Martinez, Patricia Lago, Silverio Martínez-Fernández:
Energy consumption of code small language models serving with runtime engines and execution providers. CoRR abs/2412.15441 (2024) - 2023
- [j23]Besma Khaireddine, Aleksandr Zakharchenko, Matias Martinez, Ali Mili:
Toward a theory of program repair. Acta Informatica 60(3): 209-255 (2023) - [j22]Piergiorgio Ladisa, Serena Elisa Ponta, Antonino Sabetta, Matias Martinez, Olivier Barais:
Journey to the Center of Software Supply Chain Attacks. IEEE Secur. Priv. 21(6): 34-49 (2023) - [j21]Bruno Gois Mateus, Matias Martinez, Christophe Kolski:
Learning migration models for supporting incremental language migrations of software applications. Inf. Softw. Technol. 153: 107082 (2023) - [j20]Zhongxing Yu, Matias Martinez, Zimin Chen, Tegawendé F. Bissyandé, Martin Monperrus:
Learning the Relation Between Code Features and Code Transforms With Structured Prediction. IEEE Trans. Software Eng. 49(7): 3872-3900 (2023) - [j19]Matias Martinez, Jean-Rémy Falleri, Martin Monperrus:
Hyperparameter Optimization for AST Differencing. IEEE Trans. Software Eng. 49(10): 4814-4828 (2023) - [c25]Piergiorgio Ladisa, Serena Elisa Ponta, Nicola Ronzoni, Matias Martinez, Olivier Barais:
On the Feasibility of Cross-Language Detection of Malicious Packages in npm and PyPI. ACSAC 2023: 71-82 - [c24]Yinlena Xu, Silverio Martínez-Fernández, Matias Martinez, Xavier Franch:
Energy Efficiency of Training Neural Network Architectures: An Empirical Study. HICSS 2023: 781-790 - [c23]Hesham Ahmed, Alina Boshchenko, Niaz Ali Khan, Dmitriy Knyajev, Dinara Garifollina, Gian Luca Scoccia, Matias Martinez, Ivano Malavolta:
Evolution of Kotlin Apps in terms of Energy Consumption: An Exploratory Study. ICT4S 2023: 46-56 - [c22]Piergiorgio Ladisa, Merve Sahin, Serena Elisa Ponta, Marco Rosa, Matias Martinez, Olivier Barais:
The Hitchhiker's Guide to Malicious Third-Party Dependencies. SCORED@CCS 2023: 65-74 - [c21]Piergiorgio Ladisa, Henrik Plate, Matias Martinez, Olivier Barais:
SoK: Taxonomy of Attacks on Open-Source Software Supply Chains. SP 2023: 1509-1526 - [i47]Yinlena Xu, Silverio Martínez-Fernández, Matias Martinez, Xavier Franch:
Energy Efficiency of Training Neural Network Architectures: An Empirical Study. CoRR abs/2302.00967 (2023) - [i46]Piergiorgio Ladisa, Serena Elisa Ponta, Antonino Sabetta, Matias Martinez, Olivier Barais:
Journey to the Center of Software Supply Chain Attacks. CoRR abs/2304.05200 (2023) - [i45]Piergiorgio Ladisa, Merve Sahin, Serena Elisa Ponta, Marco Rosa, Matias Martinez, Olivier Barais:
The Hitchhiker's Guide to Malicious Third-Party Dependencies. CoRR abs/2307.09087 (2023) - [i44]Piergiorgio Ladisa, Serena Elisa Ponta, Nicola Ronzoni, Matias Martinez, Olivier Barais:
On the Feasibility of Cross-Language Detection of Malicious Packages in npm and PyPI. CoRR abs/2310.09571 (2023) - 2022
- [j18]Davide Ginelli, Matias Martinez, Leonardo Mariani, Martin Monperrus:
A comprehensive study of code-removal patches in automated program repair. Empir. Softw. Eng. 27(4): 97 (2022) - [j17]Gerardo Canfora, Andrea Di Sorbo, Sara Forootani, Matias Martinez, Corrado Aaron Visaggio:
Patchworking: Exploring the code changes induced by vulnerability fixing activities. Inf. Softw. Technol. 142: 106745 (2022) - [j16]Khashayar Etemadi, Niloofar Tarighat, Siddharth Yadav, Matias Martinez, Martin Monperrus:
Estimating the potential of program repair search spaces with commit analysis. J. Syst. Softw. 188: 111263 (2022) - [j15]He Ye, Jian Gu, Matias Martinez, Thomas Durieux, Martin Monperrus:
Automated Classification of Overfitting Patches With Statically Extracted Code Features. IEEE Trans. Software Eng. 48(8): 2920-2938 (2022) - [j14]Matias Martinez, Bruno Gois Mateus:
Why Did Developers Migrate Android Applications From Java to Kotlin? IEEE Trans. Software Eng. 48(11): 4521-4534 (2022) - [c20]He Ye, Matias Martinez, Martin Monperrus:
Neural Program Repair with Execution-based Backpropagation. ICSE 2022: 1506-1518 - [c19]Adel Noureddine, Matias Martinez, Houssam Kanso, Noëlle Bru:
Is Well-Tested Code More Energy Efficient? Intelligent Environments (Workshops) 2022: 213-222 - [c18]He Ye, Matias Martinez, Xiapu Luo, Tao Zhang, Martin Monperrus:
SelfAPR: Self-supervised Program Repair with Test Execution Diagnostics. ASE 2022: 92:1-92:13 - [c17]Piergiorgio Ladisa, Henrik Plate, Matias Martinez, Olivier Barais, Serena Elisa Ponta:
Risk Explorer for Software Supply Chains: Understanding the Attack Surface of Open-Source based Software Development. SCORED@CCS 2022: 35-36 - [c16]Piergiorgio Ladisa, Henrik Plate, Matias Martinez, Olivier Barais, Serena Elisa Ponta:
Towards the Detection of Malicious Java Packages. SCORED@CCS 2022: 63-72 - [i43]He Ye, Matias Martinez, Xiapu Luo, Tao Zhang, Martin Monperrus:
SelfAPR: Self-supervised Program Repair with Test Execution Diagnostics. CoRR abs/2203.12755 (2022) - [i42]Piergiorgio Ladisa, Henrik Plate, Matias Martinez, Olivier Barais:
Taxonomy of Attacks on Open-Source Software Supply Chains. CoRR abs/2204.04008 (2022) - [i41]Matias Martinez, Maria Kechagia, Anjana Perera, Justyna Petke, Federica Sarro, Aldeida Aleti:
Test-based Patch Clustering for Automatically-Generated Patches Assessment. CoRR abs/2207.11082 (2022) - [i40]Piergiorgio Ladisa, Henrik Plate, Matias Martinez, Olivier Barais, Serena Elisa Ponta:
Towards the Detection of Malicious Java Packages. CoRR abs/2210.03998 (2022) - [i39]Matias Martinez, Silverio Martínez-Fernández, Xavier Franch:
Energy Consumption of Automated Program Repair. CoRR abs/2211.12104 (2022) - 2021
- [j13]He Ye, Matias Martinez, Martin Monperrus:
Automated patch assessment for program repair at scale. Empir. Softw. Eng. 26(2): 20 (2021) - [j12]Aldeida Aleti, Matias Martinez:
E-APR: Mapping the effectiveness of automated program repair techniques. Empir. Softw. Eng. 26(5): 99 (2021) - [j11]Vincent Aranega, Julien Delplanque, Matias Martinez, Andrew P. Black, Stéphane Ducasse, Anne Etien, Christopher P. Fuhrman, Guillermo Polito:
Rotten green tests in Java, Pharo and Python. Empir. Softw. Eng. 26(6): 130 (2021) - [j10]He Ye, Matias Martinez, Thomas Durieux, Martin Monperrus:
A comprehensive study of automatic program repair on the QuixBugs benchmark. J. Syst. Softw. 171: 110825 (2021) - [j9]Benoit Baudry, Zimin Chen, Khashayar Etemadi, Han Fu, Davide Ginelli, Steve Kommrusch, Matias Martinez, Martin Monperrus, Javier Ron Arteaga, He Ye, Zhongxing Yu:
A Software-Repair Robot Based on Continual Learning. IEEE Softw. 38(4): 28-35 (2021) - [c15]Adel Noureddine, Matias Martinez, Houssam Kanso:
A Preliminary Study of the Impact of Code Coverage on Software Energy Consumption. ASE Workshops 2021: 263-264 - [i38]Bruno Gois Mateus, Matias Martinez, Christophe Kolski:
An experience-based recommendation system to support migrations of Android applications from Java to Kotlin. CoRR abs/2103.09728 (2021) - [i37]He Ye, Matias Martinez, Martin Monperrus:
Neural Program Repair with Execution-based Backpropagation. CoRR abs/2105.04123 (2021) - [i36]Martin Monperrus, Matias Martinez, He Ye, Fernanda Madeiral, Thomas Durieux, Zhongxing Yu:
Megadiff: A Dataset of 600k Java Source Code Changes Categorized by Diff Size. CoRR abs/2108.04631 (2021) - [i35]André Silva, Matias Martinez, Benjamin Danglot, Davide Ginelli, Martin Monperrus:
FLACOCO: Fault Localization for Java based on Industry-grade Coverage. CoRR abs/2111.12513 (2021) - 2020
- [c14]Bruno Gois Mateus, Matias Martinez:
On the adoption, usage and evolution of Kotlin features in Android development. ESEM 2020: 15:1-15:12 - [c13]Matias Martinez, Anne Etien, Stéphane Ducasse, Christopher P. Fuhrman:
RTj: a Java framework for detecting and refactoring rotten green test cases. ICSE (Companion Volume) 2020: 69-72 - [i34]Aldeida Aleti, Matias Martinez:
E-APR: Mapping the Effectiveness of Automated Program Repair. CoRR abs/2002.03968 (2020) - [i33]Matias Martinez, Bruno Gois Mateus:
How and Why did developers migrate Android Applications from Java to Kotlin? A study based on code analysis and interviews with developers. CoRR abs/2003.12730 (2020) - [i32]Khashayar Etemadi, Niloofar Tarighat, Siddharth Yadav, Matias Martinez, Martin Monperrus:
Longitudinal Analysis of the Applicability of Program Repair on Past Commits. CoRR abs/2007.06986 (2020) - [i31]Matias Martinez, Jean-Rémy Falleri, Martin Monperrus:
Hyperparameter Optimization for AST Differencing. CoRR abs/2011.10268 (2020) - [i30]Davide Ginelli, Matias Martinez, Leonardo Mariani, Martin Monperrus:
A Comprehensive Study of Code-removal Patches in Automated Program Repair. CoRR abs/2012.06264 (2020) - [i29]Benoit Baudry, Zimin Chen, Khashayar Etemadi, Han Fu, Davide Ginelli, Steve Kommrusch, Matias Martinez, Martin Monperrus, Javier Ron, He Ye, Zhongxing Yu:
R-Hero: A Software Repair Bot based on Continual Learning. CoRR abs/2012.06824 (2020)
2010 – 2019
- 2019
- [j8]Zhongxing Yu, Matias Martinez, Benjamin Danglot, Thomas Durieux, Martin Monperrus:
Alleviating patch overfitting with automatic test generation: a study of feasibility and effectiveness for the Nopol repair system. Empir. Softw. Eng. 24(1): 33-67 (2019) - [j7]Bruno Gois Mateus, Matias Martinez:
An empirical study on quality of Android applications written in Kotlin language. Empir. Softw. Eng. 24(6): 3356-3393 (2019) - [j6]Matias Martinez, Martin Monperrus:
Astor: Exploring the design space of generate-and-validate program repair beyond GenProg. J. Syst. Softw. 151: 65-80 (2019) - [j5]Martin Monperrus, Simon Urli, Thomas Durieux, Matias Martinez, Benoit Baudry, Lionel Seinturier:
Repairnator patches programs automatically. Ubiquity 2019(July): 1-12 (2019) - [c12]Matias Martinez, Martin Monperrus:
Coming: a tool for mining change pattern instances from git commits. ICSE (Companion Volume) 2019: 79-82 - [c11]Matias Martinez:
Two datasets of questions and answers for studying the development of cross-platform mobile applications using Xamarin framework. MOBILESoft@ICSE 2019: 162-173 - [c10]Besma Khaireddine, Matias Martinez, Ali Mili:
Program Repair at Arbitrary Fault Depth. ICST 2019: 465-472 - [c9]Thomas Durieux, Fernanda Madeiral, Matias Martinez, Rui Abreu:
Empirical review of Java program repair tools: a large-scale experiment on 2, 141 bugs and 23, 551 repair attempts. ESEC/SIGSOFT FSE 2019: 302-313 - [c8]Martin White, Michele Tufano, Matias Martinez, Martin Monperrus, Denys Poshyvanyk:
Sorting and Transforming Program Repair Ingredients via Deep Learning Code Similarities. SANER 2019: 479-490 - [i28]Thomas Durieux, Fernanda Madeiral, Matias Martinez, Rui Abreu:
Empirical Review of Java Program Repair Tools: A Large-Scale Experiment on 2, 141 Bugs and 23, 551 Repair Attempts. CoRR abs/1905.11973 (2019) - [i27]Bruno Gois Mateus, Matias Martinez:
On the adoption, usage and evolution of Kotlin Features on Android development. CoRR abs/1907.09003 (2019) - [i26]Zhongxing Yu, Matias Martinez, Tegawendé F. Bissyandé, Martin Monperrus:
Learning the Relation between Code Features and Code Transforms with Structured Prediction. CoRR abs/1907.09282 (2019) - [i25]He Ye, Matias Martinez, Martin Monperrus:
Automated Patch Assessment for Program Repair at Scale. CoRR abs/1909.13694 (2019) - [i24]Martin Monperrus, Simon Urli, Thomas Durieux, Matias Martinez, Benoit Baudry, Lionel Seinturier:
Repairnator patches programs automatically. CoRR abs/1910.06247 (2019) - [i23]He Ye, Jian Gu, Matias Martinez, Thomas Durieux, Martin Monperrus:
Automated Classification of Overfitting Patches with Statically Extracted Code Features. CoRR abs/1910.12057 (2019) - [i22]Matias Martinez, Anne Etien, Stéphane Ducasse, Christopher P. Fuhrman:
RTj: a Java framework for detecting and refactoring rotten green test cases. CoRR abs/1912.07322 (2019) - 2018
- [c7]Matias Martinez, Martin Monperrus:
Ultra-Large Repair Search Space with Automatically Mined Templates: The Cardumen Mode of Astor. SSBSE 2018: 65-86 - [i21]Matias Martinez, Sylvain Lecomte:
Do Mobile Developers Ask on Q&A Sites About Error Codes Thrown by a Cross-Platform App Development Framework? An Empirical Study. CoRR abs/1801.07026 (2018) - [i20]Matias Martinez, Martin Monperrus:
Astor: Exploring the Design Space of Generate-and-Validate Program Repair beyond GenProg. CoRR abs/1802.03365 (2018) - [i19]He Ye, Matias Martinez, Martin Monperrus:
A Comprehensive Study of Automatic Program Repair on the QuixBugs Benchmark. CoRR abs/1805.03454 (2018) - [i18]Bruno Gois Mateus, Matias Martinez:
An Empirical Study on Quality of Android Applications written in Kotlin language. CoRR abs/1808.00025 (2018) - [i17]Martin Monperrus, Simon Urli, Thomas Durieux, Matias Martinez, Benoit Baudry, Lionel Seinturier:
Human-competitive Patches in Automatic Program Repair with Repairnator. CoRR abs/1810.05806 (2018) - [i16]Matias Martinez, Martin Monperrus:
Coming: a Tool for Mining Change Pattern Instances from Git Commits. CoRR abs/1810.08532 (2018) - [i15]Zhongxing Yu, Matias Martinez, Benjamin Danglot, Thomas Durieux, Martin Monperrus:
Alleviating Patch Overfitting with Automatic Test Generation: A Study of Feasibility and Effectiveness for the Nopol Repair System. CoRR abs/1810.10614 (2018) - [i14]Matias Martinez, Thomas Durieux, Romain Sommerard, Jifeng Xuan, Martin Monperrus:
Automatic Repair of Real Bugs in Java: A Large-Scale Experiment on the Defects4J Dataset. CoRR abs/1811.02429 (2018) - [i13]Jifeng Xuan, Matias Martinez, Favio Demarco, Maxime Clément, Sebastian R. Lamelas Marcote, Thomas Durieux, Daniel Le Berre, Martin Monperrus:
Nopol: Automatic Repair of Conditional Statement Bugs in Java Programs. CoRR abs/1811.04211 (2018) - 2017
- [j4]Matias Martinez, Thomas Durieux, Romain Sommerard, Jifeng Xuan, Martin Monperrus:
Automatic repair of real bugs in java: a large-scale experiment on the defects4j dataset. Empir. Softw. Eng. 22(4): 1936-1964 (2017) - [j3]Jifeng Xuan, Matias Martinez, Favio Demarco, Maxime Clement, Sebastian R. Lamelas Marcote, Thomas Durieux, Daniel Le Berre, Martin Monperrus:
Nopol: Automatic Repair of Conditional Statement Bugs in Java Programs. IEEE Trans. Software Eng. 43(1): 34-55 (2017) - [c6]Matias Martinez, Sylvain Lecomte:
Towards the Quality Improvement of Cross-Platform Mobile Applications. MOBILESoft@ICSE 2017: 184-188 - [i12]Matias Martinez, Sylvain Lecomte:
Towards the quality improvement of cross-platform mobile applications. CoRR abs/1701.06767 (2017) - [i11]Zhongxing Yu, Matias Martinez, Benjamin Danglot, Thomas Durieux, Martin Monperrus:
Test Case Generation for Program Repair: A Study of Feasibility and Effectiveness. CoRR abs/1703.00198 (2017) - [i10]Matias Martinez, Sylvain Lecomte:
XamForumDB: a dataset for studying Q&A about cross-platform mobile applications development. CoRR abs/1703.03631 (2017) - [i9]Martin White, Michele Tufano, Matias Martinez, Martin Monperrus, Denys Poshyvanyk:
Sorting and Transforming Program Repair Ingredients via Deep Learning Code Similarities. CoRR abs/1707.04742 (2017) - [i8]Matias Martinez, Martin Monperrus:
Open-ended Exploration of the Program Repair Search Space with Mined Templates: the Next 8935 Patches for Defects4J. CoRR abs/1712.03854 (2017) - [i7]Matias Martinez, Sylvain Lecomte:
Discovering discussion topics about development of cross-platform mobile applications using a cross-compiler development framework. CoRR abs/1712.09569 (2017) - 2016
- [j2]Jifeng Xuan, Benoit Cornu, Matias Martinez, Benoit Baudry, Lionel Seinturier, Martin Monperrus:
B-Refactoring: Automatic test code refactoring to improve dynamic analysis. Inf. Softw. Technol. 76: 65-80 (2016) - [c5]Matias Martinez, Martin Monperrus:
ASTOR: a program repair library for Java (demo). ISSTA 2016: 441-444 - 2015
- [j1]Matias Martinez, Martin Monperrus:
Mining software repair models for reasoning on the search space of automated program fixing. Empir. Softw. Eng. 20(1): 176-205 (2015) - [c4]María Gómez, Matias Martinez, Martin Monperrus, Romain Rouvoy:
When App Stores Listen to the Crowd to Fight Bugs in the Wild. ICSE (2) 2015: 567-570 - [i6]Thomas Durieux, Matias Martinez, Martin Monperrus, Romain Sommerard, Jifeng Xuan:
Automatic Repair of Real Bugs: An Experience Report on the Defects4J Dataset. CoRR abs/1505.07002 (2015) - [i5]Jifeng Xuan, Benoit Cornu, Matias Martinez, Benoit Baudry, Lionel Seinturier, Martin Monperrus:
Dynamic Analysis can be Improved with Automatic Test Suite Refactoring. CoRR abs/1506.01883 (2015) - 2014
- [b1]Matias Martinez:
Extraction and Analysis of Knowledge for Automatic Software Repair. (Extraction et l'analyse de connaissance pour la réparation automatique de bugs). Lille University of Science and Technology, France, 2014 - [c3]Matias Martinez, Westley Weimer, Martin Monperrus:
Do the fix ingredients already exist? an empirical inquiry into the redundancy assumptions of program repair approaches. ICSE Companion 2014: 492-495 - [c2]Jean-Rémy Falleri, Floréal Morandat, Xavier Blanc, Matias Martinez, Martin Monperrus:
Fine-grained and accurate source code differencing. ASE 2014: 313-324 - [i4]Matias Martinez, Westley Weimer, Martin Monperrus:
Do the Fix Ingredients Already Exist? An Empirical Inquiry into the Redundancy Assumptions of Program Repair Approaches. CoRR abs/1403.6322 (2014) - [i3]Matias Martinez, Martin Monperrus:
ASTOR: Evolutionary Automatic Software Repair for Java. CoRR abs/1410.6651 (2014) - 2013
- [c1]Matias Martinez, Laurence Duchien, Martin Monperrus:
Automatically Extracting Instances of Code Change Patterns with AST Analysis. ICSM 2013: 388-391 - [i2]Matias Martinez, Laurence Duchien, Martin Monperrus:
Automatically Extracting Instances of Code Change Patterns with AST Analysis. CoRR abs/1309.3730 (2013) - [i1]Matias Martinez, Martin Monperrus:
Mining Software Repair Models for Reasoning on the Search Space of Automated Program Fixing. CoRR abs/1311.3414 (2013)
Coauthor Index
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