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ORCIDFoutse Khomh
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- affiliation: Polytechnique Montreal, Canada
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2020 – today
- 2021
[j50]Zeinab Azadeh Kermansaravi, Md. Saidur Rahman, Foutse Khomh, Fehmi Jaafar, Yann-Gaël Guéhéneuc:
Investigating design anti-pattern and design pattern mutations and their change- and fault-proneness. Empir. Softw. Eng. 26(1): 9 (2021)- [j49]Mohab Aly, Foutse Khomh, Soumaya Yacout:
What Do Practitioners Discuss about IoT and Industry 4.0 Related Technologies? Characterization and Identification of IoT and Industry 4.0 Categories in Stack Overflow Discussions. Internet Things 14: 100364 (2021) - [j48]Amine Barrak, Ellis E. Eghan, Bram Adams, Foutse Khomh:
Why do builds fail? - A conceptual replication study. J. Syst. Softw. 177: 110939 (2021) - [j47]Mouna Abidi, Md. Saidur Rahman, Moses Openja, Foutse Khomh:
Are Multi-Language Design Smells Fault-Prone? An Empirical Study. ACM Trans. Softw. Eng. Methodol. 30(3): 29:1-29:56 (2021) - [j46]Gias Uddin, Foutse Khomh, Chanchal K. Roy:
Automatic API Usage Scenario Documentation from Technical Q&A Sites. ACM Trans. Softw. Eng. Methodol. 30(3): 31:1-31:45 (2021) - [j45]Gias Uddin
, Foutse Khomh:
Automatic Mining of Opinions Expressed About APIs in Stack Overflow. IEEE Trans. Software Eng. 47(3): 522-559 (2021) - [j44]Gias Uddin, Olga Baysal, Latifa Guerrouj, Foutse Khomh:
Understanding How and Why Developers Seek and Analyze API-Related Opinions. IEEE Trans. Software Eng. 47(4): 694-735 (2021) - [c113]Arghavan Moradi Dakhel, Michel C. Desmarais, Foutse Khomh:
Assessing Developer Expertise from the Statistical Distribution of Programming Syntax Patterns. EASE 2021: 90-99 - [c112]Mahmood Vahedi, Mohammad Masudur Rahman, Foutse Khomh, Gias Uddin, Giuliano Antoniol:
Summarizing Relevant Parts from Technical Videos. SANER 2021: 434-445 - [e9]Nobukazu Yoshioka, Hironori Washizaki, Eduardo B. Fernández, Tomoko Kaneko, Shuichiro Yamamoto, Fuyuki Ishikawa, Foutse Khomh, Giuliano Antoniol:
Proceedings of the International Workshop on Evidence-based Security and Privacy in the Wild and the 1st International Workshop on Machine Learning Systems Engineering co-located with 25th Asia-Pacific Software Engineering Conference (APSEC 2018), Nara, Japan, December 4, 2018. CEUR Workshop Proceedings 2809, CEUR-WS.org 2021 [contents] - [i33]Amin Nikanjam, Mohammad Mehdi Morovati, Foutse Khomh, Houssem Ben Braiek:
Faults in Deep Reinforcement Learning Programs: A Taxonomy and A Detection Approach. CoRR abs/2101.00135 (2021) - [i32]Gias Uddin, Olga Baysal, Latifa Guerrouj, Foutse Khomh:
Understanding How and Why Developers Seek and Analyze API-related Opinions. CoRR abs/2102.08495 (2021) - [i31]Gias Uddin, Foutse Khomh, Chanchal K. Roy:
Automatic API Usage Scenario Documentation from Technical Q&A Sites. CoRR abs/2102.08502 (2021) - [i30]Gias Uddin, Foutse Khomh, Chanchal K. Roy:
Mining API Usage Scenarios from Stack Overflow. CoRR abs/2102.08874 (2021) - [i29]Dmytro Humeniuk, Giuliano Antoniol, Foutse Khomh:
Data Driven Testing of Cyber Physical Systems. CoRR abs/2102.11491 (2021) - [i28]Zeinab Azadeh Kermansaravi, Md. Saidur Rahman, Foutse Khomh, Fehmi Jaafar, Yann-Gaël Guéhéneuc:
Investigating Design Anti-pattern and Design Pattern Mutations and Their Change- and Fault-proneness. CoRR abs/2104.00058 (2021) - [i27]Amin Nikanjam, Houssem Ben Braiek, Mohammad Mehdi Morovati, Foutse Khomh:
Automatic Fault Detection for Deep Learning Programs Using Graph Transformations. CoRR abs/2105.08095 (2021) - [i26]Amin Nikanjam, Foutse Khomh:
Design Smells in Deep Learning Programs: An Empirical Study. CoRR abs/2107.02279 (2021) - [i25]Florian Tambon, Giulio Antoniol, Foutse Khomh:
HOMRS: High Order Metamorphic Relations Selector for Deep Neural Networks. CoRR abs/2107.04863 (2021) - [i24]Florian Tambon, Gabriel Laberge, Le An, Amin Nikanjam, Paulina Stevia Nouwou Mindom, Yann Pequignot, Foutse Khomh, Giulio Antoniol, Ettore Merlo, François Laviolette:
How to Certify Machine Learning Based Safety-critical Systems? A Systematic Literature Review. CoRR abs/2107.12045 (2021) - 2020
- [j43]Bowen Xu, Le An, Ferdian Thung, Foutse Khomh, David Lo:
Why reinventing the wheels? An empirical study on library reuse and re-implementation. Empir. Softw. Eng. 25(1): 755-789 (2020) - [j42]Rodrigo Morales, Foutse Khomh, Giuliano Antoniol:
RePOR: Mimicking humans on refactoring tasks. Are we there yet? Empir. Softw. Eng. 25(4): 2960-2996 (2020) - [j41]Gias Uddin, Foutse Khomh, Chanchal K. Roy:
Mining API usage scenarios from stack overflow. Inf. Softw. Technol. 122: 106277 (2020) - [j40]Cristiano Politowski, Foutse Khomh, Simone Romano, Giuseppe Scanniello, Fábio Petrillo, Yann-Gaël Guéhéneuc, Abdou Maiga:
A large scale empirical study of the impact of Spaghetti Code and Blob anti-patterns on program comprehension. Inf. Softw. Technol. 122: 106278 (2020) - [j39]Antoine Barbez, Foutse Khomh, Yann-Gaël Guéhéneuc:
A machine-learning based ensemble method for anti-patterns detection. J. Syst. Softw. 161 (2020) - [j38]Houssem Ben Braiek, Foutse Khomh:
On testing machine learning programs. J. Syst. Softw. 164: 110542 (2020) - [j37]Bram Adams, Foutse Khomh:
The Diversity Crisis of Software Engineering for Artificial Intelligence. IEEE Softw. 37(4): 104-108 (2020) - [j36]Mbarka Soualhia, Foutse Khomh, Sofiène Tahar:
A Dynamic and Failure-Aware Task Scheduling Framework for Hadoop. IEEE Trans. Cloud Comput. 8(2): 553-569 (2020) - [c111]Solomon Berhe, Marc Maynard, Foutse Khomh:
Software Release Patterns When is it a good time to update a software component? ANT/EDI40 2020: 618-625 - [c110]Devansh Tiwari, Hironori Washizaki, Yoshiaki Fukazawa, Tomoyuki Fukuoka, Junji Tamaki, Nobuhiro Hosotani, Munetaka Kohama, Yann-Gaël Guéhéneuc, Foutse Khomh:
Commit - Defect and Architectural Metrics - based Quality Assessment of C Language. ENASE 2020: 579-586 - [c109]Ehsan Firouzi, Ashkan Sami, Foutse Khomh, Gias Uddin:
On the use of C# Unsafe Code Context: An Empirical Study of Stack Overflow. ESEM 2020: 39:1-39:6 - [c108]Mouna Abidi, Foutse Khomh:
Towards the Definition of Patterns and Code Smells for Multi-language Systems. EuroPLoP 2020: 37:1-37:13 - [c107]Cyrine Zid, Dmytro Humeniuk, Foutse Khomh, Giuliano Antoniol:
Double Cycle Hybrid Testing of Hybrid Distributed IoT System. ICSE (Workshops) 2020: 529-532 - [c106]Moses Openja, Bram Adams, Foutse Khomh:
Analysis of Modern Release Engineering Topics : - A Large-Scale Study using StackOverflow -. ICSME 2020: 104-114 - [c105]Mohammad Masudur Rahman, Foutse Khomh, Marco Castelluccio:
Why are Some Bugs Non-Reproducible? : -An Empirical Investigation using Data Fusion-. ICSME 2020: 605-616 - [c104]Hironori Washizaki, Hironori Takeuchi, Foutse Khomh, Naotake Natori, Takuo Doi, Satoshi Okuda:
Practitioners' insights on machine-learning software engineering design patterns: a preliminary study. ICSME 2020: 797-799 - [c103]Fabiano Pecorelli, Fabio Palomba, Foutse Khomh, Andrea De Lucia:
Developer-Driven Code Smell Prioritization. MSR 2020: 220-231 - [c102]Biruk Asmare Muse, Mohammad Masudur Rahman, Csaba Nagy, Anthony Cleve, Foutse Khomh, Giuliano Antoniol:
On the Prevalence, Impact, and Evolution of SQL Code Smells in Data-Intensive Systems. MSR 2020: 327-338 - [c101]Hadhemi Jebnoun, Houssem Ben Braiek, Mohammad Masudur Rahman, Foutse Khomh:
The Scent of Deep Learning Code: An Empirical Study. MSR 2020: 420-430 - [c100]Mouna Abidi, Moses Openja, Foutse Khomh:
Multi-language Design Smells: A Backstage Perspective. MSR 2020: 615-618 - [e8]Foutse Khomh, Pasquale Salza, Gemma Catolino:
Proceedings of the 4th ACM SIGSOFT International Workshop on Machine Learning Techniques for Software Quality Evaluation, MaLTeSQuE@ESEC/SIGSOFT FSE 2020, Virtual Event, USA, November 13, 2020. ACM 2020, ISBN 978-1-4503-8124-6 [contents] - [e7]Kostas Kontogiannis, Foutse Khomh, Alexander Chatzigeorgiou, Marios-Eleftherios Fokaefs, Minghui Zhou:
27th IEEE International Conference on Software Analysis, Evolution and Reengineering, SANER 2020, London, ON, Canada, February 18-21, 2020. IEEE 2020, ISBN 978-1-7281-5143-4 [contents] - [i23]Cristiano Politowski, Foutse Khomh, Simone Romano, Giuseppe Scanniello, Fábio Petrillo, Yann-Gaël Guéhéneuc, Abdou Maiga:
A Large Scale Empirical Study of the Impact of Spaghetti Code and Blob Anti-patterns on Program Comprehension. CoRR abs/2009.02438 (2020) - [i22]Mouna Abidi, Md. Saidur Rahman, Moses Openja, Foutse Khomh:
Are Multi-language Design Smells Prevalent? An Empirical Study. CoRR abs/2010.14331 (2020)
2010 – 2019
- 2019
- [j35]Le An, Marco Castelluccio, Foutse Khomh:
An empirical study of DLL injection bugs in the Firefox ecosystem. Empir. Softw. Eng. 24(4): 1799-1822 (2019) - [j34]Marco Castelluccio, Le An, Foutse Khomh:
An empirical study of patch uplift in rapid release development pipelines. Empir. Softw. Eng. 24(5): 3008-3044 (2019) - [j33]Ikram El Asri, Noureddine Kerzazi, Gias Uddin, Foutse Khomh, Mohammed Amine Janati Idrissi:
An empirical study of sentiments in code reviews. Inf. Softw. Technol. 114: 37-54 (2019) - [j32]Mohab Aly, Foutse Khomh, Mohammed Haoues, Alejandro Quintero, Soumaya Yacout:
Enforcing security in Internet of Things frameworks: A Systematic Literature Review. Internet Things 6 (2019) - [j31]Mohab Aly, Foutse Khomh, Yann-Gaël Guéhéneuc, Hironori Washizaki, Soumaya Yacout:
Is Fragmentation a Threat to the Success of the Internet of Things? IEEE Internet Things J. 6(1): 472-487 (2019) - [j30]Fábio Petrillo, Yann-Gaël Guéhéneuc, Marcelo Pimenta, Carla Maria Dal Sasso Freitas, Foutse Khomh:
Swarm debugging: The collective intelligence on interactive debugging. J. Syst. Softw. 153: 152-174 (2019) - [j29]David Johannes, Foutse Khomh, Giuliano Antoniol:
A large-scale empirical study of code smells in JavaScript projects. Softw. Qual. J. 27(3): 1271-1314 (2019) - [c99]Mouna Abidi, Manel Grichi, Foutse Khomh:
Behind the scenes: developers' perception of multi-language practices. CASCON 2019: 72-81 - [c98]Manel Grichi, Mouna Abidi, Yann-Gaël Guéhéneuc, Foutse Khomh:
State of practices of Java native interface. CASCON 2019: 274-283 - [c97]Mbarka Soualhia, Chunyan Fu, Foutse Khomh:
Infrastructure fault detection and prediction in edge cloud environments. SEC 2019: 222-235 - [c96]Mouna Abidi, Manel Grichi, Foutse Khomh, Yann-Gaël Guéhéneuc:
Code smells for multi-language systems. EuroPLoP 2019: 12:1-12:13 - [c95]Mouna Abidi, Foutse Khomh, Yann-Gaël Guéhéneuc:
Anti-patterns for multi-language systems. EuroPLoP 2019: 42:1-42:14 - [c94]Gias Uddin, Foutse Khomh, Chanchal K. Roy:
Towards crowd-sourced API documentation. ICSE (Companion Volume) 2019: 310-311 - [c93]Antoine Barbez, Foutse Khomh, Yann-Gaël Guéhéneuc:
Deep Learning Anti-Patterns from Code Metrics History. ICSME 2019: 114-124 - [c92]Houssem Ben Braiek, Foutse Khomh:
DeepEvolution: A Search-Based Testing Approach for Deep Neural Networks. ICSME 2019: 454-458 - [c91]Hironori Washizaki, Hiromu Uchida, Foutse Khomh, Yann-Gaël Guéhéneuc:
Studying Software Engineering Patterns for Designing Machine Learning Systems. IWESEP 2019: 49-54 - [c90]Houssem Ben Braiek, Foutse Khomh:
TFCheck : A TensorFlow Library for Detecting Training Issues in Neural Network Programs. QRS 2019: 426-433 - [c89]John Businge, Moses Openja, David Kavaler, Engineer Bainomugisha, Foutse Khomh, Vladimir Filkov:
Studying Android App Popularity by Cross-Linking GitHub and Google Play Store. SANER 2019: 287-297 - [p1]Yann-Gaël Guéhéneuc, Foutse Khomh:
Empirical Software Engineering. Handbook of Software Engineering 2019: 285-320 - [e6]Yann-Gaël Guéhéneuc, Foutse Khomh, Federica Sarro:
Proceedings of the 27th International Conference on Program Comprehension, ICPC 2019, Montreal, QC, Canada, May 25-31, 2019. IEEE / ACM 2019, ISBN 978-1-7281-1519-1 [contents] - [e5]Leandro L. Minku, Foutse Khomh, Jean Petric:
Proceedings of the Fifteenth International Conference on Predictive Models and Data Analytics in Software Engineering, PROMISE 2019, Recife, Brazil, September 18, 2019. ACM 2019, ISBN 978-1-4503-7233-6 [contents] - [i21]Fábio Petrillo, Yann-Gaël Guéhéneuc, Marcelo Pimenta, Carla Maria Dal Sasso Freitas, Foutse Khomh:
Swarm Debugging: the Collective Intelligence on Interactive Debugging. CoRR abs/1902.03520 (2019) - [i20]Antoine Barbez, Foutse Khomh, Yann-Gaël Guéhéneuc:
A Machine-learning Based Ensemble Method For Anti-patterns Detection. CoRR abs/1903.01899 (2019) - [i19]Md. Saidur Rahman, Emilio Rivera, Foutse Khomh, Yann-Gaël Guéhéneuc, Bernd Lehnert:
Machine Learning Software Engineering in Practice: An Industrial Case Study. CoRR abs/1906.07154 (2019) - [i18]Houssem Ben Braiek, Foutse Khomh:
TFCheck : A TensorFlow Library for Detecting Training Issues in Neural Network Programs. CoRR abs/1909.02562 (2019) - [i17]Houssem Ben Braiek, Foutse Khomh:
DeepEvolution: A Search-Based Testing Approach for Deep Neural Networks. CoRR abs/1909.02563 (2019) - [i16]Morteza Verdi, Ashkan Sami, Jafar Akhondali, Foutse Khomh, Gias Uddin, Alireza Karami Motlagh:
An Empirical Study of C++ Vulnerabilities in Crowd-Sourced Code Examples. CoRR abs/1910.01321 (2019) - [i15]Hironori Washizaki, Hiromu Uchida, Foutse Khomh, Yann-Gaël Guéhéneuc:
Studying Software Engineering Patterns for Designing Machine Learning Systems. CoRR abs/1910.04736 (2019) - [i14]Antoine Barbez, Foutse Khomh, Yann-Gaël Guéhéneuc:
Deep Learning Anti-patterns from Code Metrics History. CoRR abs/1910.07658 (2019) - [i13]Simon Msika, Alejandro Quintero, Foutse Khomh:
SIGMA : Strengthening IDS with GAN and Metaheuristics Attacks. CoRR abs/1912.09303 (2019) - [i12]Foutse Khomh, Fuyuki Ishikawa, Hiroshi Maruyama:
Software Engineering for Machine Learning Systems (SEMLS) (NII Shonan Meeting 156). NII Shonan Meet. Rep. 2019 (2019) - 2018
- [j28]Rodrigo Morales, Francisco Chicano, Foutse Khomh, Giuliano Antoniol:
Exact search-space size for the refactoring scheduling problem. Autom. Softw. Eng. 25(2): 195-200 (2018) - [j27]Zéphyrin Soh, Foutse Khomh, Yann-Gaël Guéhéneuc, Giuliano Antoniol:
Noise in Mylyn interaction traces and its impact on developers and recommendation systems. Empir. Softw. Eng. 23(2): 645-692 (2018) - [j26]Hironori Washizaki, Yann-Gaël Guéhéneuc, Foutse Khomh:
ProMeTA: a taxonomy for program metamodels in program reverse engineering. Empir. Softw. Eng. 23(4): 2323-2358 (2018) - [j25]Rubén Saborido, Rodrigo Morales, Foutse Khomh, Yann-Gaël Guéhéneuc, Giuliano Antoniol:
Getting the most from map data structures in Android. Empir. Softw. Eng. 23(5): 2829-2864 (2018) - [j24]Foutse Khomh, S. Amirhossein Abtahizadeh:
Understanding the impact of cloud patterns on performance and energy consumption. J. Syst. Softw. 141: 151-170 (2018) - [j23]Rodrigo Morales, Francisco Chicano, Foutse Khomh, Giuliano Antoniol:
Efficient refactoring scheduling based on partial order reduction. J. Syst. Softw. 145: 25-51 (2018) - [j22]Bram Adams, Stephany Bellomo, Christian Bird, Boris Debic, Foutse Khomh, Kim Moir, John ODuinn:
Release Engineering 3.0. IEEE Softw. 35(2): 22-25 (2018) - [j21]Foutse Khomh, Bram Adams, Jinghui Cheng, Marios Fokaefs, Giuliano Antoniol:
Software Engineering for Machine-Learning Applications: The Road Ahead. IEEE Softw. 35(5): 81-84 (2018) - [j20]Le An, Foutse Khomh, Yann-Gaël Guéhéneuc:
An empirical study of crash-inducing commits in Mozilla Firefox. Softw. Qual. J. 26(2): 553-584 (2018) - [j19]Liliane Barbour, Le An, Foutse Khomh, Ying Zou, Shaohua Wang:
An investigation of the fault-proneness of clone evolutionary patterns. Softw. Qual. J. 26(4): 1187-1222 (2018) - [j18]Rubén Saborido, Foutse Khomh, Abram Hindle, Enrique Alba:
An app performance optimization advisor for mobile device app marketplaces. Sustain. Comput. Informatics Syst. 19: 29-42 (2018) - [j17]Rodrigo Morales, Rubén Saborido, Foutse Khomh, Francisco Chicano, Giuliano Antoniol:
EARMO: An Energy-Aware Refactoring Approach for Mobile Apps. IEEE Trans. Software Eng. 44(12): 1176-1206 (2018) - [c88]Fuyuki Ishikawa, Foutse Khomh, Nobukazu Yoshioka, Giuliano Antoniol:
Report of iMLSE-18: the 1st International Workshop on Machine Learning Systems Engineering. WESPr-iMLSE@APSEC 2018: 3-4 - [c87]Le An, Foutse Khomh, Shane McIntosh, Marco Castelluccio:
Why Did This Reviewed Code Crash? An Empirical Study of Mozilla Firefox. APSEC 2018: 396-405 - [c86]Giuliano Antoniol, Kamel Ayari, Massimiliano Di Penta, Foutse Khomh, Yann-Gaël Guéhéneuc:
Is it a bug or an enhancement?: a text-based approach to classify change requests. CASCON 2018: 2-16 - [c85]Amine Barrak, Marc-André Laverdière, Foutse Khomh, Le An, Ettore Merlo:
Just-in-time detection of protection-impacting changes on WordPress and MediaWiki. CASCON 2018: 178-188 - [c84]Rodrigo Morales, Rubén Saborido, Foutse Khomh, Francisco Chicano, Giuliano Antoniol:
EARMO: an energy-aware refactoring approach for mobile apps. ICSE 2018: 59 - [c83]Aiko Yamashita, Fábio Petrillo, Foutse Khomh, Yann-Gaël Guéhéneuc:
Developer interaction traces backed by IDE screen recordings from think aloud sessions. MSR 2018: 50-53 - [c82]Houssem Ben Braiek, Foutse Khomh, Bram Adams:
The open-closed principle of modern machine learning frameworks. MSR 2018: 353-363 - [c81]Naoures Ghrairi, Segla Kpodjedo, Amine Barrak, Fábio Petrillo, Foutse Khomh:
The State of Practice on Virtual Reality (VR) Applications: An Exploratory Study on Github and Stack Overflow. QRS 2018: 356-366 - [c80]Mohab Aly, Foutse Khomh, Soumaya Yacout:
Kubernetes or OpenShift? Which Technology Best Suits Eclipse Hono IoT Deployments. SOCA 2018: 113-120 - [c79]Foutse Khomh, Yann-Gaël Guéhéneuc:
Design patterns impact on software quality: Where are the theories? SANER 2018: 15-25 - [c78]Sarah Fakhoury, Venera Arnaoudova, Cedric Noiseux, Foutse Khomh, Giuliano Antoniol:
Keep it simple: Is deep learning good for linguistic smell detection? SANER 2018: 602-611 - [e4]Foutse Khomh, Chanchal K. Roy, Janet Siegmund:
Proceedings of the 26th Conference on Program Comprehension, ICPC 2018, Gothenburg, Sweden, May 27-28, 2018. ACM 2018 [contents] - [i11]Rodrigo Morales, Foutse Khomh, Giuliano Antoniol:
Automated Refactoring: Can They Pass The Turing Test? CoRR abs/1808.04352 (2018) - [i10]Mohab Aly, Foutse Khomh, Yann-Gaël Guéhéneuc, Hironori Washizaki, Soumaya Yacout:
Is Fragmentation a Threat to the Success of the Internet of Things? CoRR abs/1808.07355 (2018) - [i9]Houssem Ben Braiek, Foutse Khomh:
On Testing Machine Learning Programs. CoRR abs/1812.02257 (2018) - 2017
- [j16]Rodrigo Morales, Zéphyrin Soh, Foutse Khomh, Giuliano Antoniol, Francisco Chicano:
On the use of developers' context for automatic refactoring of software anti-patterns. J. Syst. Softw. 128: 236-251 (2017) - [j15]Mbarka Soualhia, Foutse Khomh, Sofiène Tahar:
Task Scheduling in Big Data Platforms: A Systematic Literature Review. J. Syst. Softw. 134: 170-189 (2017) - [j14]Foutse Khomh, David Lo, Michael W. Godfrey:
Guest editor's introduction to the Special Issue on Source Code Analysis and Manipulation (SCAM 2015). J. Softw. Evol. Process. 29(12) (2017) - [j13]Latifa Guerrouj, Zeinab Azadeh Kermansaravi, Venera Arnaoudova, Benjamin C. M. Fung, Foutse Khomh, Giuliano Antoniol, Yann-Gaël Guéhéneuc:
Investigating the relation between lexical smells and change- and fault-proneness: an empirical study. Softw. Qual. J. 25(3): 641-670 (2017) - [c77]Fiorella Zampetti, Cedric Noiseux, Giuliano Antoniol, Foutse Khomh, Massimiliano Di Penta:
Recommending when Design Technical Debt Should be Self-Admitted. ICSME 2017: 216-226 - [c76]Marco Castelluccio, Le An, Foutse Khomh:
Is it Safe to Uplift this Patch?: An Empirical Study on Mozilla Firefox. ICSME 2017: 411-421 - [c75]Foundjem Armstrong, Foutse Khomh, Bram Adams:
Broadcast vs. Unicast Review Technology: Does It Matter? ICST 2017: 219-229 - [c74]Rubén Saborido, Foutse Khomh, Giuliano Antoniol, Yann-Gaël Guéhéneuc:
Comprehension of ads-supported and paid Android applications: are they different? ICPC 2017: 143-153 - [c73]Gias Uddin, Foutse Khomh:
Automatic summarization of API reviews. ASE 2017: 159-170 - [c72]Gias Uddin, Foutse Khomh:
Opiner: an opinion search and summarization engine for APIs. ASE 2017: 978-983 - [c71]Aiko Yamashita, S. Amirhossein Abtahizadeh, Foutse Khomh, Yann-Gaël Guéhéneuc:
Software evolution and quality data from controlled, multiple, industrial case studies. MSR 2017: 507-510 - [c70]John Businge, Simon Kawuma, Engineer Bainomugisha, Foutse Khomh, Evarist Nabaasa:
Code Authorship and Fault-proneness of Open-Source Android Applications: An Empirical Study. PROMISE 2017: 33-42 - [c69]Fábio Petrillo, Hyan Mandian, Aiko Yamashita, Foutse Khomh, Yann-Gaël Guéhéneuc:
How Do Developers Toggle Breakpoints? Observational Studies. QRS 2017: 285-295 - [c68]Le An, Ons Mlouki, Foutse Khomh, Giuliano Antoniol:
Stack Overflow: A code laundering platform? SANER 2017: 283-293 - [c67]Amir Saboury, Pooya Musavi, Foutse Khomh, Giulio Antoniol:
An empirical study of code smells in JavaScript projects. SANER 2017: 294-305 - [i8]Rubén Saborido, Foutse Khomh, Yann-Gaël Guéhéneuc, Giuliano Antoniol:
Comprehension of Ads-supported and Paid Android Applications: Are They Different? CoRR abs/1703.03017 (2017) - [i7]Le An, Ons Mlouki, Foutse Khomh, Giuliano Antoniol:
Stack Overflow: A Code Laundering Platform? CoRR abs/1703.03897 (2017) - [i6]Rubén Saborido, Foutse Khomh, Abram Hindle, Enrique Alba:
An App Performance Optimization Advisor for Mobile Device App Marketplaces. CoRR abs/1709.04916 (2017) - [i5]Marco Castelluccio, Le An, Foutse Khomh:
Is It Safe to Uplift This Patch? An Empirical Study on Mozilla Firefox. CoRR abs/1709.08852 (2017) - 2016
- [j12]Shaohua Wang, Foutse Khomh, Ying Zou:
Improving bug management using correlations in crash reports. Empir. Softw. Eng. 21(2): 337-367 (2016) - [j11]Fehmi Jaafar, Yann-Gaël Guéhéneuc, Sylvie Hamel, Foutse Khomh, Mohammad Zulkernine:
Evaluating the impact of design pattern and anti-pattern dependencies on changes and faults. Empir. Softw. Eng. 21(3): 896-931 (2016) - [j10]Wei Wu,