Massimiliano Di Penta

Name: dblp XML data dump
Creator: Schloss Dagstuhl - Leibniz Center for Informatics
Published: 1993
License: https://creativecommons.org/publicdomain/zero/1.0/
Keywords: dblp, XML, computer science, scholarly publications, metadata

◀ ▶ joint publications with Foutse Khomh

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Publications

2024
[c233]
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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
2023
[j90]
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  - journals/tosem/NardoneMAKP23
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Vittoria Nardone, Biruk Asmare Muse, Mouna Abidi, Foutse Khomh, Massimiliano Di Penta:
Video Game Bad Smells: What They Are and How Developers Perceive Them. ACM Trans. Softw. Eng. Methodol. 32(4): 88:1-88:35 (2023)
[c230]
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Matteo Bosco, Pasquale Cavoto, Augusto Ungolo, Biruk Asmare Muse, Foutse Khomh, Vittoria Nardone, Massimiliano Di Penta:
UnityLint: A Bad Smell Detector for Unity. ICPC 2023: 186-190
2022
[d19]
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Vittoria Nardone, Biruk Asmare Muse, Mouna Abidi, Foutse Khomh, Massimiliano Di Penta:
Video Games Bad Smells: What they are and how Developers Perceive Them - Online dataset. Version 1. Zenodo, 2022 [all versions]
[d18]
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  - data/10/NardoneMAKP22a
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Vittoria Nardone, Biruk Asmare Muse, Mouna Abidi, Foutse Khomh, Massimiliano Di Penta:
Video Games Bad Smells: What they are and how Developers Perceive Them - Online dataset. Version 2. Zenodo, 2022 [all versions]
[d17]
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Vittoria Nardone, Biruk Asmare Muse, Mouna Abidi, Foutse Khomh, Massimiliano Di Penta:
Video Games Bad Smells: What they are and how Developers Perceive Them - Online dataset. Version 3. Zenodo, 2022 [all versions]
[d16]
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Vittoria Nardone, Biruk Asmare Muse, Mouna Abidi, Foutse Khomh, Massimiliano Di Penta:
Video Games Bad Smells: What they are and how Developers Perceive Them - Online dataset. Version 4. Zenodo, 2022 [all versions]
[d15]
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  - data/10/NardoneMAKP22d
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Vittoria Nardone, Biruk Asmare Muse, Mouna Abidi, Foutse Khomh, Massimiliano Di Penta:
Video Game Bad Smells: What they are and how Developers Perceive Them - Online dataset. Version 5. Zenodo, 2022 [all versions]
2021
[c217]
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  - conf/scam/HamidiAKPH21
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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
2018
[c196]
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  - electronic edition @ acm.org
  - no references & citations available
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  - conf/cascon/AntoniolAPKG08a
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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
2017
[c177]
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  - conf/icsm/ZampettiNAKP17
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Fiorella Zampetti, Cedric Noiseux, Giuliano Antoniol, Foutse Khomh, Massimiliano Di Penta:
Recommending when Design Technical Debt Should be Self-Admitted. ICSME 2017: 216-226
2012
[j35]
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Foutse Khomh, Massimiliano Di Penta, Yann-Gaël Guéhéneuc, Giuliano Antoniol:
An exploratory study of the impact of antipatterns on class change- and fault-proneness. Empir. Softw. Eng. 17(3): 243-275 (2012)
2009
[c77]
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  - conf/wcre/KhomhPG99a
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Foutse Khomh, Massimiliano Di Penta, Yann-Gaël Guéhéneuc:
An Exploratory Study of the Impact of Code Smells on Software Change-proneness. WCRE 2009: 75-84
2008
[c75]
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  - conf/cascon/AntoniolAPKG08
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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 2008: 23

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