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2020 – today
- 2025
[j83]Fiorella Zampetti
, Cyrine Zid, Giuliano Antoniol, Massimiliano Di Penta:
The downside of functional constructs: a quantitative and qualitative analysis of their fix-inducing effects. Empir. Softw. Eng. 30(1): 9 (2025)- 2024
- [j82]Florian Tambon, Amin Nikanjam, Le An, Foutse Khomh, Giuliano Antoniol:
Silent bugs in deep learning frameworks: an empirical study of Keras and TensorFlow. Empir. Softw. Eng. 29(1): 10 (2024) - [j81]Biruk Asmare Muse, Kawser Wazed Nafi, Foutse Khomh, Giuliano Antoniol:
Data-access performance anti-patterns in data-intensive systems. Empir. Softw. Eng. 29(6): 144 (2024) - [c193]Cyrine Zid, Fiorella Zampetti, Giuliano Antoniol, Massimiliano Di Penta:
A Study on the Pythonic Functional Constructs' Understandability. ICSE 2024: 237:1-237:13 - [c192]Cyrine Zid, François Belias, Massimiliano Di Penta, Foutse Khomh, Giuliano Antoniol:
List Comprehension Versus for Loops Performance in Real Python Projects: Should we Care? SANER 2024: 592-601 - [d7]Cyrine Zid, Fiorella Zampetti, Giuliano Antoniol, Massimiliano Di Penta:
Replication package for the paper: "A Study on the Pythonic Functional Constructs' Understandability". Version 3. Zenodo, 2024 [all versions]
- [d6]Cyrine Zid, Fiorella Zampetti, Giuliano Antoniol, Massimiliano Di Penta:
Replication package for the paper: "A Study on the Pythonic Functional Constructs' Understandability". Version 4. Zenodo, 2024 [all versions] - [d5]Cyrine Zid, Fiorella Zampetti, Giuliano Antoniol, Massimiliano Di Penta:
Replication package for the paper: "A Study on the Pythonic Functional Constructs' Understandability". Version 5. Zenodo, 2024 [all versions] - [d4]Cyrine Zid, Fiorella Zampetti, Giuliano Antoniol, Massimiliano Di Penta:
Replication package for the paper: "A Study on the Pythonic Functional Constructs' Understandability". Version 6. Zenodo, 2024 [all versions] - [d3]Cyrine Zid, Fiorella Zampetti, Giuliano Antoniol, Massimiliano Di Penta:
Replication package for the paper: "A Study on the Pythonic Functional Constructs' Understandability". Version 7. Zenodo, 2024 [all versions] - [i25]Florian Tambon, Arghavan Moradi Dakhel, Amin Nikanjam, Foutse Khomh, Michel C. Desmarais, Giuliano Antoniol:
Bugs in Large Language Models Generated Code: An Empirical Study. CoRR abs/2403.08937 (2024) - [i24]Florian Tambon, Amin Nikanjam, Foutse Khomh, Giuliano Antoniol:
Assessing Programming Task Difficulty for Efficient Evaluation of Large Language Models. CoRR abs/2407.21227 (2024) - 2023
- [j80]Biruk Asmare Muse, Foutse Khomh, Giuliano Antoniol:
Refactoring practices in the context of data-intensive systems. Empir. Softw. Eng. 28(2): 46 (2023) - [j79]Florian Tambon, Foutse Khomh, Giuliano Antoniol:
A probabilistic framework for mutation testing in deep neural networks. Inf. Softw. Technol. 155: 107129 (2023) - [j78]Dmytro Humeniuk, Foutse Khomh, Giuliano Antoniol:
AmbieGen: A search-based framework for autonomous systems testing. Sci. Comput. Program. 230: 102990 (2023) - [j77]Md. Saidur Rahman, Foutse Khomh, Alaleh Hamidi, Jinghui Cheng, Giuliano Antoniol, Hironori Washizaki:
Machine learning application development: practitioners' insights. Softw. Qual. J. 31(4): 1065-1119 (2023) - [c191]Dmytro Humeniuk, Foutse Khomh, Giuliano Antoniol:
RIGAA at the SBFT 2023 Tool Competition - Cyber-Physical Systems Track. SBFT 2023: 49-50 - [c190]Florian Tambon, Vahid Majdinasab, Amin Nikanjam, Foutse Khomh, Giuliano Antoniol:
Mutation Testing of Deep Reinforcement Learning Based on Real Faults. ICST 2023: 188-198 - [i23]Dmytro Humeniuk, Foutse Khomh, Giuliano Antoniol:
AmbieGen: A Search-based Framework for Autonomous Systems Testing. CoRR abs/2301.01234 (2023) - [i22]Florian Tambon, Vahid Majdinasab, Amin Nikanjam, Foutse Khomh, Giuliano Antoniol:
Mutation Testing of Deep Reinforcement Learning Based on Real Faults. CoRR abs/2301.05651 (2023) - [i21]Dmytro Humeniuk, Foutse Khomh, Giuliano Antoniol:
Reinforcement Learning Informed Evolutionary Search for Autonomous Systems Testing. CoRR abs/2308.12762 (2023) - [i20]Florian Tambon, Foutse Khomh, Giuliano Antoniol:
GIST: Generated Inputs Sets Transferability in Deep Learning. CoRR abs/2311.00801 (2023) - 2022
- [j76]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. Autom. Softw. Eng. 29(2): 38 (2022) - [j75]Fiorella Zampetti, Saghan Mudbhari, Venera Arnaoudova, Massimiliano Di Penta, Sebastiano Panichella, Giuliano Antoniol:
Using code reviews to automatically configure static analysis tools. Empir. Softw. Eng. 27(1): 28 (2022) - [j74]Biruk Asmare Muse, Csaba Nagy, Anthony Cleve, Foutse Khomh, Giuliano Antoniol:
FIXME: synchronize with database! An empirical study of data access self-admitted technical debt. Empir. Softw. Eng. 27(6): 130 (2022) - [j73]Carmen Coviello, Simone Romano, Giuseppe Scanniello, Giuliano Antoniol:
GASSER: A Multi-Objective Evolutionary Approach for Test Suite Reduction. Int. J. Softw. Eng. Knowl. Eng. 32(2): 193-225 (2022) - [j72]Dmytro Humeniuk, Foutse Khomh, Giuliano Antoniol:
A search-based framework for automatic generation of testing environments for cyber-physical systems. Inf. Softw. Technol. 149: 106936 (2022) - [c189]Mira Marhaba, Ettore Merlo, Foutse Khomh, Giuliano Antoniol:
Identification of out-of-distribution cases of CNN using class-based surprise adequacy. CAIN 2022: 39-40 - [c188]Fiorella Zampetti, François Belias, Cyrine Zid, Giuliano Antoniol, Massimiliano Di Penta:
An Empirical Study on the Fault-Inducing Effect of Functional Constructs in Python. ICSME 2022: 47-58 - [c187]Dmytro Humeniuk, Giuliano Antoniol, Foutse Khomh:
AmbieGen tool at the SBST 2022 Tool Competition. SBST@ICSE 2022: 43-46 - [c186]Biruk Asmare Muse, Foutse Khomh, Giuliano Antoniol:
Do Developers Refactor Data Access Code? An Empirical Study. SANER 2022: 25-35 - [d2]Fiorella Zampetti, François Belias, Cyrine Zid, Giuliano Antoniol, Massimiliano Di Penta:
Dataset of the paper "An Empirical Study on the Fault-Inducing Effect of Functional Constructs in Python". Zenodo, 2022 - [i19]Biruk Asmare Muse, Csaba Nagy, Anthony Cleve, Foutse Khomh, Giuliano Antoniol:
FIXME: Synchronize with Database An Empirical Study of Data Access Self-Admitted Technical Debt. CoRR abs/2201.02180 (2022) - [i18]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. CoRR abs/2201.02215 (2022) - [i17]Biruk Asmare Muse, Foutse Khomh, Giuliano Antoniol:
Do Developers Refactor Data Access Code? An Empirical Study. CoRR abs/2202.03270 (2022) - [i16]Dmytro Humeniuk, Foutse Khomh, Giuliano Antoniol:
A Search-Based Framework for Automatic Generation of Testing Environments for Cyber-Physical Systems. CoRR abs/2203.12138 (2022) - [i15]Florian Tambon, Foutse Khomh, Giuliano Antoniol:
A Probabilistic Framework for Mutation Testing in Deep Neural Networks. CoRR abs/2208.06018 (2022) - [i14]Biruk Asmare Muse, Kawser Wazed Nafi, Foutse Khomh, Giuliano Antoniol:
Data-access performance anti-patterns in data-intensive systems. CoRR abs/2208.08918 (2022) - 2021
- [c185]Dmytro Humeniuk, Giuliano Antoniol, Foutse Khomh:
Data Driven Testing of Cyber Physical Systems. SBST@ICSE 2021: 16-19 - [c184]Dmytro Humeniuk, Giuliano Antoniol, Foutse Khomh:
SWAT tool at the SBST 2021 Tool Competition. SBST@ICSE 2021: 42-43 - [c183]Alaleh Hamidi, Giuliano Antoniol, Foutse Khomh, Massimiliano Di Penta, Mohammad Hamidi:
Towards Understanding Developers' Machine-Learning Challenges: A Multi-Language Study on Stack Overflow. SCAM 2021: 58-69 - [c182]Mahmood Vahedi, Mohammad Masudur Rahman, Foutse Khomh, Gias Uddin, Giuliano Antoniol:
Summarizing Relevant Parts from Technical Videos. SANER 2021: 434-445 - [c181]Carmen Coviello, Simone Romano, Giuseppe Scanniello, Giuliano Antoniol:
Gasser. SANER 2021: 556-560 - [e7]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] - [d1]Giuliano Antoniol, Massimiliano Di Penta, Cyrine Zid, Vittoria Nardone:
An Empirical Study on the Usage and Availability of Machine Learning Libraries in Open-Source Python Projects - Dataset. Zenodo, 2021 - [i13]Dmytro Humeniuk, Giuliano Antoniol, Foutse Khomh:
Data Driven Testing of Cyber Physical Systems. CoRR abs/2102.11491 (2021) - [i12]Florian Tambon, Giulio Antoniol, Foutse Khomh:
HOMRS: High Order Metamorphic Relations Selector for Deep Neural Networks. CoRR abs/2107.04863 (2021) - [i11]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) - [i10]Ettore Merlo, Mira Marhaba, Foutse Khomh, Houssem Ben Braiek, Giuliano Antoniol:
Models of Computational Profiles to Study the Likelihood of DNN Metamorphic Test Cases. CoRR abs/2107.13491 (2021) - [i9]Florian Tambon, Amin Nikanjam, Le An, Foutse Khomh, Giuliano Antoniol:
Silent Bugs in Deep Learning Frameworks: An Empirical Study of Keras and TensorFlow. CoRR abs/2112.13314 (2021) - [i8]Md. Saidur Rahman, Foutse Khomh, Alaleh Hamidi, Jinghui Cheng, Giuliano Antoniol, Hironori Washizaki:
Machine Learning Application Development: Practitioners' Insights. CoRR abs/2112.15277 (2021) - 2020
- [j71]Rodrigo Morales, Foutse Khomh, Giuliano Antoniol:
RePOR: Mimicking humans on refactoring tasks. Are we there yet? Empir. Softw. Eng. 25(4): 2960-2996 (2020) - [j70]Giuliano Antoniol, Federica Sarro:
Guest editorial: Special section on Search-based Software Engineering track at GECCO 2018. Inf. Softw. Technol. 118 (2020) - [j69]Carmen Coviello, Simone Romano, Giuseppe Scanniello, Alessandro Marchetto, Anna Corazza, Giuliano Antoniol:
Adequate vs. inadequate test suite reduction approaches. Inf. Softw. Technol. 119 (2020) - [j68]Luca Ardito, Marco Torchiano, Riccardo Coppola, Giulio Antoniol:
PowTrAn: An R Package for power trace analysis. SoftwareX 12: 100512 (2020) - [c180]Carmen Coviello, Simone Romano, Giuseppe Scanniello, Giuliano Antoniol:
GASSER: Genetic Algorithm for teSt Suite Reduction. ESEM 2020: 36:1-36:6 - [c179]Cyrine Zid, Dmytro Humeniuk, Foutse Khomh, Giuliano Antoniol:
Double Cycle Hybrid Testing of Hybrid Distributed IoT System. ICSE (Workshops) 2020: 529-532 - [c178]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 - [c177]Yalda Hashemi, Maleknaz Nayebi, Giuliano Antoniol:
Documentation of Machine Learning Software. SANER 2020: 666-667 - [i7]Yalda Hashemi, Maleknaz Nayebi, Giuliano Antoniol:
Documentation of Machine Learning Software. CoRR abs/2001.11956 (2020)
2010 – 2019
- 2019
- [j67]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) - 2018
- [j66]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) - [j65]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) - [j64]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) - [j63]Simone Romano, Giuseppe Scanniello, Giuliano Antoniol, Alessandro Marchetto:
SPIRITuS: a SimPle Information Retrieval regressIon Test Selection approach. Inf. Softw. Technol. 99: 62-80 (2018) - [j62]Rodrigo Morales, Francisco Chicano, Foutse Khomh, Giuliano Antoniol:
Efficient refactoring scheduling based on partial order reduction. J. Syst. Softw. 145: 25-51 (2018) - [j61]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) - [j60]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) - [c176]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 - [c175]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 - [c174]Rodrigo Morales, Rubén Saborido, Foutse Khomh, Francisco Chicano, Giuliano Antoniol:
EARMO: an energy-aware refactoring approach for mobile apps. ICSE 2018: 59 - [c173]Carmen Coviello, Simone Romano, Giuseppe Scanniello, Alessandro Marchetto, Giuliano Antoniol, Anna Corazza:
Clustering support for inadequate test suite reduction. SANER 2018: 95-105 - [c172]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 - [i6]Rodrigo Morales, Foutse Khomh, Giuliano Antoniol:
Automated Refactoring: Can They Pass The Turing Test? CoRR abs/1808.04352 (2018) - 2017
- [j59]Aminata Sabane, Yann-Gaël Guéhéneuc, Venera Arnaoudova, Giuliano Antoniol:
Fragile base-class problem, problem? Empir. Softw. Eng. 22(5): 2612-2657 (2017) - [j58]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) - [j57]Phillip A. Laplante, Steve Counsell, Giuliano Antoniol:
Disseminating the Best Material to Practitioners. IEEE Softw. 34(3): 111-113 (2017) - [j56]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) - [c171]Philippe Galinier, Segla Kpodjedo, Giulio Antoniol:
A penalty-based Tabu search for constrained covering arrays. GECCO 2017: 1288-1294 - [c170]Majda Moussa, Massimiliano Di Penta, Giuliano Antoniol, Giovanni Beltrame:
ACCUSE: Helping Users to Minimize Android App Privacy Concerns. MOBILESoft@ICSE 2017: 144-148 - [c169]Fiorella Zampetti, Cedric Noiseux, Giuliano Antoniol, Foutse Khomh, Massimiliano Di Penta:
Recommending when Design Technical Debt Should be Self-Admitted. ICSME 2017: 216-226 - [c168]Rubén Saborido, Foutse Khomh, Giuliano Antoniol, Yann-Gaël Guéhéneuc:
Comprehension of ads-supported and paid Android applications: are they different? ICPC 2017: 143-153 - [c167]Le An, Ons Mlouki, Foutse Khomh, Giuliano Antoniol:
Stack Overflow: A code laundering platform? SANER 2017: 283-293 - [c166]Amir Saboury, Pooya Musavi, Foutse Khomh, Giulio Antoniol:
An empirical study of code smells in JavaScript projects. SANER 2017: 294-305 - [i5]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) - [i4]Le An, Ons Mlouki, Foutse Khomh, Giuliano Antoniol:
Stack Overflow: A Code Laundering Platform? CoRR abs/1703.03897 (2017) - [i3]Giuliano Antoniol, Jane Cleland-Huang, Jane Huffman Hayes, Michael Vierhauser:
Grand Challenges of Traceability: The Next Ten Years. CoRR abs/1710.03129 (2017) - 2016
- [j55]Venera Arnaoudova, Massimiliano Di Penta, Giuliano Antoniol:
Linguistic antipatterns: what they are and how developers perceive them. Empir. Softw. Eng. 21(1): 104-158 (2016) - [j54]Wei Wu, Foutse Khomh, Bram Adams, Yann-Gaël Guéhéneuc, Giuliano Antoniol:
An exploratory study of api changes and usages based on apache and eclipse ecosystems. Empir. Softw. Eng. 21(6): 2366-2412 (2016) - [j53]Wenbin Li, Jane Huffman Hayes, Giulio Antoniol, Yann-Gaël Guéhéneuc, Bram Adams:
Error leakage and wasted time: sensitivity and effort analysis of a requirements consistency checking process. J. Softw. Evol. Process. 28(12): 1061-1080 (2016) - [c165]Sonia Haiduc, Venera Arnaoudova, Andrian Marcus, Giuliano Antoniol:
The use of text retrieval and natural language processing in software engineering. ICSE (Companion Volume) 2016: 898-899 - [c164]Rodrigo Morales, Aminata Sabane, Pooya Musavi, Foutse Khomh, Francisco Chicano, Giuliano Antoniol:
Finding the Best Compromise Between Design Quality and Testing Effort During Refactoring. SANER 2016: 24-35 - [c163]Ons Mlouki, Foutse Khomh, Giuliano Antoniol:
On the Detection of Licenses Violations in the Android Ecosystem. SANER 2016: 382-392 - [c162]Rubén Saborido, Giovanni Beltrame, Foutse Khomh, Enrique Alba, Giuliano Antoniol:
Optimizing User Experience in Choosing Android Applications. SANER 2016: 438-448 - [i2]Rodrigo Morales, Rubén Saborido, Foutse Khomh, Francisco Chicano, Giuliano Antoniol:
Anti-patterns and the energy efficiency of Android applications. CoRR abs/1610.05711 (2016) - 2015
- [j52]Nasir Ali, Zohreh Sharafi, Yann-Gaël Guéhéneuc, Giuliano Antoniol:
An empirical study on the importance of source code entities for requirements traceability. Empir. Softw. Eng. 20(2): 442-478 (2015) - [j51]Wei Wu, Adrien Serveaux, Yann-Gaël Guéhéneuc, Giuliano Antoniol:
The impact of imperfect change rules on framework API evolution identification: an empirical study. Empir. Softw. Eng. 20(4): 1126-1158 (2015) - [c161]Venera Arnaoudova, Sonia Haiduc, Andrian Marcus, Giuliano Antoniol:
The Use of Text Retrieval and Natural Language Processing in Software Engineering. ICSE (2) 2015: 949-950 - [c160]Gregory Gay, Giuliano Antoniol:
8th International Workshop on Search-Based Software Testing (SBST 2015). ICSE (2) 2015: 1001-1002 - [c159]Douglas H. Martin, James R. Cordy, Bram Adams, Giuliano Antoniol:
Make it simple: an empirical analysis of GNU make feature use in open source projects. ICPC 2015: 207-217 - [c158]Jane Huffman Hayes, Giulio Antoniol, Bram Adams, Yann-Gaël Guéhéneuc:
Inherent characteristics of traceability artifacts less is more. RE 2015: 196-201 - [c157]Laleh Mousavi Eshkevari, Fabien Dos Santos, James R. Cordy, Giuliano Antoniol:
Are PHP applications ready for Hack? SANER 2015: 63-72 - [c156]Sebastiano Panichella, Venera Arnaoudova, Massimiliano Di Penta, Giuliano Antoniol:
Would static analysis tools help developers with code reviews? SANER 2015: 161-170 - [e6]Gregory Gay, Giuliano Antoniol:
8th IEEE/ACM International Workshop on Search-Based Software Testing, SBST 2015, Florence, Italy, May 18-19, 2015. IEEE Computer Society 2015, ISBN 978-1-4673-7079-0 [contents] - [i1]Rubén Saborido, Venera Arnaoudova, Giovanni Beltrame, Foutse Khomh, Giuliano Antoniol:
On the impact of sampling frequency on software energy measurements. PeerJ Prepr. 3: e1219 (2015) - 2014
- [j50]Segla Kpodjedo, Philippe Galinier, Giuliano Antoniol:
Using local similarity measures to efficiently address approximate graph matching. Discret. Appl. Math. 164: 161-177 (2014) - [j49]Latifa Guerrouj, Massimiliano Di Penta, Yann-Gaël Guéhéneuc, Giuliano Antoniol:
An experimental investigation on the effects of context on source code identifiers splitting and expansion. Empir. Softw. Eng. 19(6): 1706-1753 (2014) - [j48]Benoît De Smet, Lorent Lempereur, Zohreh Sharafi, Yann-Gaël Guéhéneuc, Giuliano Antoniol, Naji Habra:
Taupe: Visualizing and analyzing eye-tracking data. Sci. Comput. Program. 79: 260-278 (2014) - [j47]Fehmi Jaafar, Yann-Gaël Guéhéneuc, Sylvie Hamel, Giuliano Antoniol:
Detecting asynchrony and dephase change patterns by mining software repositories. J. Softw. Evol. Process. 26(1): 77-106 (2014) - [j46]Soumaya Medini, Venera Arnaoudova, Massimiliano Di Penta, Giuliano Antoniol, Yann-Gaël Guéhéneuc, Paolo Tonella:
SCAN: an approach to label and relate execution trace segments. J. Softw. Evol. Process. 26(11): 962-995 (2014) - [j45]Venera Arnaoudova, Laleh Mousavi Eshkevari, Massimiliano Di Penta, Rocco Oliveto, Giuliano Antoniol, Yann-Gaël Guéhéneuc:
REPENT: Analyzing the Nature of Identifier Renamings. IEEE Trans. Software Eng. 40(5): 502-532 (2014) - [c155]Gabriele Bavota,