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Mathieu Nayrolles
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2020 – today
- 2024
- [c17]Gengyi Sun, Mehran Meidani, Sarra Habchi, Mathieu Nayrolles, Shane McIntosh:
Code Impact Beyond Disciplinary Boundaries: Constructing a Multidisciplinary Dependency Graph and Analyzing Cross-Boundary Impact. ICSE-SEIP 2024: 122-133 - [c16]Doriane Olewicki, Sarra Habchi, Mathieu Nayrolles, Mojtaba Faramarzi, Sarath Chandar, Bram Adams:
On the Costs and Benefits of Adopting Lifelong Learning for Software Analytics - Empirical Study on Brown Build and Risk Prediction. ICSE-SEIP 2024: 275-286 - 2023
- [c15]Markus Böck, Sarra Habchi, Mathieu Nayrolles, Jürgen Cito:
Performance Prediction From Source Code Is Task and Domain Specific. ICPC 2023: 35-42 - [c14]Mathieu Nayrolles:
Pushing the Limits of Video Game Performance: A Performance Engineering Perspective. ICPE 2023: 1 - [i1]Doriane Olewicki, Sarra Habchi, Mathieu Nayrolles, Mojtaba Faramarzi, Sarath Chandar, Bram Adams:
Towards Lifelong Learning for Software Analytics Models: Empirical Study on Brown Build and Risk Prediction. CoRR abs/2305.09824 (2023) - 2022
- [c13]Doriane Olewicki, Mathieu Nayrolles, Bram Adams:
Towards language-independent Brown Build Detection. ICSE 2022: 2177-2188 - 2021
- [c12]Esma Mouine, Yan Liu, Jincheng Sun, Mathieu Nayrolles, Mahzad Kalantari:
The Analysis of Time Series Forecasting on Resource Provision of Cloud-based Game Servers. IEEE BigData 2021: 2381-2389
2010 – 2019
- 2018
- [c11]Wahab Hamou-Lhadj, Mathieu Nayrolles:
A Project on Software Defect Prevention at Commit-Time: A Success Story of University-Industry Research Collaboration. SER&IP@ICSE 2018: 24-25 - [c10]Mathieu Nayrolles, Abdelwahab Hamou-Lhadj:
Towards a classification of bugs to facilitate software maintainability tasks. SQUADE@ICSE 2018: 25-32 - [c9]Korosh Koochekian Sabor, Mathieu Nayrolles, Abdelaziz Trabelsi, Abdelwahab Hamou-Lhadj:
An Approach for Predicting Bug Report Fields Using a Neural Network Learning Model. ISSRE Workshops 2018: 232-236 - [c8]Mathieu Nayrolles, Abdelwahab Hamou-Lhadj:
CLEVER: combining code metrics with clone detection for just-in-time fault prevention and resolution in large industrial projects. MSR 2018: 153-164 - 2017
- [j2]Mathieu Nayrolles, Abdelwahab Hamou-Lhadj, Sofiène Tahar, Alf Larsson:
A bug reproduction approach based on directed model checking and crash traces. J. Softw. Evol. Process. 29(3) (2017) - 2016
- [c7]Mathieu Nayrolles, Abdelwahab Hamou-Lhadj:
BUMPER: A Tool for Coping with Natural Language Searches of Millions of Bugs and Fixes. SANER 2016: 649-652 - 2015
- [c6]Abdou Maiga, Abdelwahab Hamou-Lhadj, Mathieu Nayrolles, Korosh Koochekian Sabor, Alf Larsson:
An empirical study on the handling of crash reports in a large software company: An experience report. ICSME 2015: 342-351 - [c5]Mathieu Nayrolles, Eric Beaudry, Naouel Moha, Petko Valtchev, Abdelwahab Hamou-Lhadj:
Towards Quality-Driven SOA Systems Refactoring Through Planning. MCETECH 2015: 269-284 - [c4]Mathieu Nayrolles, Abdelwahab Hamou-Lhadj, Sofiène Tahar, Alf Larsson:
JCHARMING: A bug reproduction approach using crash traces and directed model checking. SANER 2015: 101-110 - 2013
- [j1]Francis Palma, Mathieu Nayrolles, Naouel Moha, Yann-Gaël Guéhéneuc, Benoit Baudry, Jean-Marc Jézéquel:
Soa Antipatterns: an Approach for their Specification and Detection. Int. J. Cooperative Inf. Syst. 22(4) (2013) - [c3]Mathieu Nayrolles, Francis Palma, Naouel Moha, Yann-Gaël Guéhéneuc:
Soda: A Tool Support for the Detection of SOA Antipatterns. ICSOC Workshops 2013: 451-455 - [c2]Mathieu Nayrolles, Naouel Moha, Petko Valtchev:
Improving SOA antipatterns detection in Service Based Systems by mining execution traces. WCRE 2013: 321-330 - 2012
- [c1]Naouel Moha, Francis Palma, Mathieu Nayrolles, Benjamin Joyen Conseil, Yann-Gaël Guéhéneuc, Benoit Baudry, Jean-Marc Jézéquel:
Specification and Detection of SOA Antipatterns. ICSOC 2012: 1-16
Coauthor Index
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