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ORCIDMassimiliano Di Penta
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- affiliation: University of Sannio, Benevento, Italy
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2020 – today
- 2025
[j97]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)- [j96]Juri Di Rocco, Phuong T. Nguyen, Claudio Di Sipio, Riccardo Rubei, Davide Di Ruscio, Massimiliano Di Penta:
DeepMig: A transformer-based approach to support coupled library and code migrations. Inf. Softw. Technol. 177: 107588 (2025) - 2024
- [j95]Phuong T. Nguyen, Juri Di Rocco, Claudio Di Sipio, Riccardo Rubei, Davide Di Ruscio, Massimiliano Di Penta:
GPTSniffer: A CodeBERT-based classifier to detect source code written by ChatGPT. J. Syst. Softw. 214: 112059 (2024) - [j94]Sajad Khatiri, Andrea Di Sorbo, Fiorella Zampetti, Corrado Aaron Visaggio, Massimiliano Di Penta, Sebastiano Panichella:
Identifying safety-critical concerns in unmanned aerial vehicle software platforms with SALIENT. SoftwareX 27: 101748 (2024) - [c245]Massimiliano Di Penta:
Why Large Language Models will (not) Kill Software Engineering Research. EASE 2024: 5 - [c244]Antonio Mastropaolo, Vittoria Nardone, Gabriele Bavota, Massimiliano Di Penta:
How the Training Procedure Impacts the Performance of Deep Learning-based Vulnerability Patching. EASE 2024: 150-159 - [c243]Daniele Bifolco, Sabato Nocera, Simone Romano, Massimiliano Di Penta, Rita Francese, Giuseppe Scanniello:
On the Accuracy of GitHub's Dependency Graph. EASE 2024: 242-251 - [c242]Phuong T. Nguyen, Juri Di Rocco, Claudio Di Sipio, Mudita Shakya, Davide Di Ruscio, Massimiliano Di Penta:
Automatic Categorization of GitHub Actions with Transformers and Few-shot Learning. ESEM 2024: 468-474 - [c241]Giuseppe Scanniello, Massimiliano Di Penta, Simone Romano, Rita Francese, Sabato Nocera, Pietro Cassieri, Daniele Bifolco, Fiorella Zampetti:
MSR4SBOM: Mining Software Repositories for enhanced Software Bills of Materials. ESEM 2024: 589-593 - [c240]Antonio Mastropaolo, Fiorella Zampetti, Gabriele Bavota, Massimiliano Di Penta:
Toward Automatically Completing GitHub Workflows. ICSE 2024: 13:1-13:12 - [c239]Trevor Stalnaker, Nathan Wintersgill, Oscar Chaparro, Massimiliano Di Penta, Daniel M. Germán, Denys Poshyvanyk:
BOMs Away! Inside the Minds of Stakeholders: A Comprehensive Study of Bills of Materials for Software Systems. ICSE 2024: 44:1-44:13 - [c238]Antonio Mastropaolo, Matteo Ciniselli, Massimiliano Di Penta, Gabriele Bavota:
Evaluating Code Summarization Techniques: A New Metric and an Empirical Characterization. ICSE 2024: 218:1-218:13 - [c237]Cyrine Zid, Fiorella Zampetti, Giuliano Antoniol, Massimiliano Di Penta:
A Study on the Pythonic Functional Constructs' Understandability. ICSE 2024: 237:1-237:13 - [c236]Federica Pepe, Vittoria Nardone, Antonio Mastropaolo, Gabriele Bavota, Gerardo Canfora, Massimiliano Di Penta:
How do Hugging Face Models Document Datasets, Bias, and Licenses? An Empirical Study. ICPC 2024: 370-381 - [c235]Luciano Baresi, Massimiliano Di Penta, Giovanni Quattrocchi, Damian Andrew Tamburri:
How have iOS Development Technologies Changed over Time? A Study in Open-Source. MOBILESoft@ICSE 2024: 33-42 - [c234]Rosalia Tufano, Antonio Mastropaolo, Federica Pepe, Ozren Dabic, Massimiliano Di Penta, Gabriele Bavota:
Unveiling ChatGPT's Usage in Open Source Projects: A Mining-based Study. MSR 2024: 571-583 - [c233]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 - [e15]David Lo, Xin Xia, Massimiliano Di Penta, Xing Hu:
Proceedings of the 2024 IEEE/ACM First International Conference on AI Foundation Models and Software Engineering, FORGE 2024, Lisbon, Portugal, 14 April 2024. ACM 2024 [contents] - [d27]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]
- [d26]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] - [d25]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] - [d24]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] - [d23]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] - [i24]Rosalia Tufano, Antonio Mastropaolo, Federica Pepe, Ozren Dabic, Massimiliano Di Penta, Gabriele Bavota:
Unveiling ChatGPT's Usage in Open Source Projects: A Mining-based Study. CoRR abs/2402.16480 (2024) - [i23]Antonio Mastropaolo, Vittoria Nardone, Gabriele Bavota, Massimiliano Di Penta:
How the Training Procedure Impacts the Performance of Deep Learning-based Vulnerability Patching. CoRR abs/2404.17896 (2024) - [i22]Phuong T. Nguyen, Juri Di Rocco, Claudio Di Sipio, Mudita Shakya, Davide Di Ruscio, Massimiliano Di Penta:
Automatic Categorization of GitHub Actions with Transformers and Few-shot Learning. CoRR abs/2407.16946 (2024) - [i21]Federica Pepe, Fiorella Zampetti, Antonio Mastropaolo, Gabriele Bavota, Massimiliano Di Penta:
A Taxonomy of Self-Admitted Technical Debt in Deep Learning Systems. CoRR abs/2409.11826 (2024) - 2023
- [j93]Phuong T. Nguyen, Claudio Di Sipio, Juri Di Rocco, Davide Di Ruscio, Massimiliano Di Penta:
Fitting missing API puzzles with machine translation techniques. Expert Syst. Appl. 216: 119477 (2023) - [j92]Andrea Di Sorbo, Fiorella Zampetti, Aaron Visaggio, Massimiliano Di Penta, Sebastiano Panichella:
Automated Identification and Qualitative Characterization of Safety Concerns Reported in UAV Software Platforms. ACM Trans. Softw. Eng. Methodol. 32(3): 67:1-67:37 (2023) - [j91]Fiorella Zampetti, Damian A. Tamburri, Sebastiano Panichella, Annibale Panichella, Gerardo Canfora, Massimiliano Di Penta:
Continuous Integration and Delivery Practices for Cyber-Physical Systems: An Interview-Based Study. ACM Trans. Softw. Eng. Methodol. 32(3): 73:1-73:44 (2023) - [j90]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) - [c232]Lori L. Pollock, Massimiliano Di Penta:
Message from the ICSE 2023 Program Co-Chairs. ICSE 2023: xl - [c231]Sabato Nocera, Simone Romano, Massimiliano Di Penta, Rita Francese, Giuseppe Scanniello:
Software Bill of Materials Adoption: A Mining Study from GitHub. ICSME 2023: 39-49 - [c230]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 - [c229]Antonio Mastropaolo, Massimiliano Di Penta, Gabriele Bavota:
Towards Automatically Addressing Self-Admitted Technical Debt: How Far Are We? ASE 2023: 585-597 - [c228]Phuong T. Nguyen, Riccardo Rubei, Juri Di Rocco, Claudio Di Sipio, Davide Di Ruscio, Massimiliano Di Penta:
Dealing with Popularity Bias in Recommender Systems for Third-party Libraries: How far Are We? MSR 2023: 12-24 - [d22]Federica Pepe, Vittoria Nardone, Antonio Mastropaolo, Gerardo Canfora, Gabriele Bavota, Massimiliano Di Penta:
Dataset of the paper: "How do Hugging Face Models Document Datasets, Bias, and Licenses? An Empirical Study". Zenodo, 2023 - [i20]Phuong T. Nguyen, Riccardo Rubei, Juri Di Rocco, Claudio Di Sipio, Davide Di Ruscio, Massimiliano Di Penta:
Dealing with Popularity Bias in Recommender Systems for Third-party Libraries: How far Are We? CoRR abs/2304.10409 (2023) - [i19]Phuong T. Nguyen, Juri Di Rocco, Claudio Di Sipio, Riccardo Rubei, Davide Di Ruscio, Massimiliano Di Penta:
Is this Snippet Written by ChatGPT? An Empirical Study with a CodeBERT-Based Classifier. CoRR abs/2307.09381 (2023) - [i18]Antonio Mastropaolo, Massimiliano Di Penta, Gabriele Bavota:
Towards Automatically Addressing Self-Admitted Technical Debt: How Far Are We? CoRR abs/2308.08943 (2023) - [i17]Antonio Mastropaolo, Fiorella Zampetti, Massimiliano Di Penta, Gabriele Bavota:
Toward Automatically Completing GitHub Workflows. CoRR abs/2308.16774 (2023) - [i16]Trevor Stalnaker, Nathan Wintersgill, Oscar Chaparro, Massimiliano Di Penta, Daniel M. Germán, Denys Poshyvanyk:
BOMs Away! Inside the Minds of Stakeholders: A Comprehensive Study of Bills of Materials for Software Systems. CoRR abs/2309.12206 (2023) - [i15]Antonio Mastropaolo, Matteo Ciniselli, Massimiliano Di Penta, Gabriele Bavota:
Evaluating Code Summarization Techniques: A New Metric and an Empirical Characterization. CoRR abs/2312.15475 (2023) - 2022
- [j89]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) - [j88]Nathan Cassee, Fiorella Zampetti, Nicole Novielli, Alexander Serebrenik, Massimiliano Di Penta:
Self-Admitted Technical Debt and comments' polarity: an empirical study. Empir. Softw. Eng. 27(6): 139 (2022) - [j87]Fiorella Zampetti, Ritu Kapur, Massimiliano Di Penta, Sebastiano Panichella:
An empirical characterization of software bugs in open-source Cyber-Physical Systems. J. Syst. Softw. 192: 111425 (2022) - [j86]Davide Falessi, Aalok Ahluwalia, Massimiliano Di Penta:
The Impact of Dormant Defects on Defect Prediction: A Study of 19 Apache Projects. ACM Trans. Softw. Eng. Methodol. 31(1): 4:1-4:26 (2022) - [j85]Jevgenija Pantiuchina, Bin Lin, Fiorella Zampetti, Massimiliano Di Penta, Michele Lanza, Gabriele Bavota:
Why Do Developers Reject Refactorings in Open-Source Projects? ACM Trans. Softw. Eng. Methodol. 31(2): 23:1-23:23 (2022) - [j84]Camilo Escobar-Velásquez, Mario Linares-Vásquez, Gabriele Bavota, Michele Tufano, Kevin Moran, Massimiliano Di Penta, Christopher Vendome, Carlos Bernal-Cárdenas, Denys Poshyvanyk:
Enabling Mutant Generation for Open- and Closed-Source Android Apps. IEEE Trans. Software Eng. 48(2): 186-208 (2022) - [j83]Phuong T. Nguyen, Juri Di Rocco, Claudio Di Sipio, Davide Di Ruscio, Massimiliano Di Penta:
Recommending API Function Calls and Code Snippets to Support Software Development. IEEE Trans. Software Eng. 48(7): 2417-2438 (2022) - [j82]Matteo Ciniselli, Nathan Cooper, Luca Pascarella, Antonio Mastropaolo, Emad Aghajani, Denys Poshyvanyk, Massimiliano Di Penta, Gabriele Bavota:
An Empirical Study on the Usage of Transformer Models for Code Completion. IEEE Trans. Software Eng. 48(12): 4818-4837 (2022) - [c227]Simone Romano, Fiorella Zampetti, Maria Teresa Baldassarre, Massimiliano Di Penta, Giuseppe Scanniello:
Do Static Analysis Tools Affect Software Quality when Using Test-driven Development? ESEM 2022: 80-91 - [c226]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 - [c225]Fiorella Zampetti, Vittoria Nardone, Massimiliano Di Penta:
Problems and Solutions in Applying Continuous Integration and Delivery to 20 Open-Source Cyber-Physical Systems. MSR 2022: 646-657 - [d21]Matteo Ciniselli, Nathan Cooper, Luca Pascarella, Antonio Mastropaolo, Emad Aghajani, Denys Poshyvanyk, Massimiliano Di Penta, Gabriele Bavota:
Replication package for "An Empirical Study on the Usage of Transformer Models for Code Completion". Zenodo, 2022 - [d20]Matteo Ciniselli, Nathan Cooper, Luca Pascarella, Denys Poshyvanyk, Massimiliano Di Penta, Gabriele Bavota:
Replication package for "An Empirical Study on the Usage of BERT Models for Code Completion". Zenodo, 2022 - [d19]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]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]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]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]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] - [d14]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 - [d13]Fiorella Zampetti, Vittoria Nardone, Massimiliano Di Penta:
Dataset of the manuscript "Problems and Solutions in Applying Continuous Integration and Delivery to 20 Open-Source Cyber-Physical Systems". Zenodo, 2022 - [d12]Fiorella Zampetti, Damian A. Tamburri, Sebastiano Panichella, Annibale Panichella, Gerardo Canfora, Massimiliano Di Penta:
Continuous Integration and Delivery Practices for Cyber-Physical Systems: An Interview-Based Study - Online Dataset. Version 1. Zenodo, 2022 [all versions] - [d11]Fiorella Zampetti, Damian A. Tamburri, Sebastiano Panichella, Annibale Panichella, Gerardo Canfora, Massimiliano Di Penta:
Continuous Integration and Delivery Practices for Cyber-Physical Systems: An Interview-Based Study - Online Dataset. Version 2. Zenodo, 2022 [all versions] - [d10]Fiorella Zampetti, Damian A. Tamburri, Sebastiano Panichella, Annibale Panichella, Gerardo Canfora, Massimiliano Di Penta:
Continuous Integration and Delivery Practices for Cyber-Physical Systems: An Interview-Based Study - Online Dataset. Version 3. Zenodo, 2022 [all versions] - 2021
- [j81]Fiorella Zampetti, Gianmarco Fucci, Alexander Serebrenik, Massimiliano Di Penta:
Self-admitted technical debt practices: a comparison between industry and open-source. Empir. Softw. Eng. 26(6): 131 (2021) - [j80]Martina Iammarino, Fiorella Zampetti, Lerina Aversano, Massimiliano Di Penta:
An empirical study on the co-occurrence between refactoring actions and Self-Admitted Technical Debt removal. J. Syst. Softw. 178: 110976 (2021) - [j79]Andrea Di Sorbo, Sebastiano Panichella, Corrado Aaron Visaggio, Massimiliano Di Penta, Gerardo Canfora, Harald C. Gall:
Exploiting Natural Language Structures in Software Informal Documentation. IEEE Trans. Software Eng. 47(8): 1587-1604 (2021) - [c224]Phuong Thanh Nguyen, Davide Di Ruscio, Juri Di Rocco, Claudio Di Sipio, Massimiliano Di Penta:
Adversarial Machine Learning: On the Resilience of Third-party Library Recommender Systems. EASE 2021: 247-253 - [c223]Massimiliano Di Penta:
How Empirical Research Supports Tool Development: A Retrospective Analysis and new Horizons. ESEM 2021: 1:1-1:3 - [c222]Fiorella Zampetti, Salvatore Geremia, Gabriele Bavota, Massimiliano Di Penta:
CI/CD Pipelines Evolution and Restructuring: A Qualitative and Quantitative Study. ICSME 2021: 471-482 - [c221]Andrea Di Sorbo, Corrado Aaron Visaggio, Massimiliano Di Penta, Gerardo Canfora, Sebastiano Panichella:
An NLP-based Tool for Software Artifacts Analysis. ICSME 2021: 569-573 - [c220]Phuong T. Nguyen, Claudio Di Sipio, Juri Di Rocco, Massimiliano Di Penta, Davide Di Ruscio:
Adversarial Attacks to API Recommender Systems: Time to Wake Up and Smell the Coffeeƒ. ASE 2021: 253-265 - [c219]Matteo Ciniselli, Nathan Cooper, Luca Pascarella, Denys Poshyvanyk, Massimiliano Di Penta, Gabriele Bavota:
An Empirical Study on the Usage of BERT Models for Code Completion. MSR 2021: 108-119 - [c218]Gianmarco Fucci, Nathan Cassee, Fiorella Zampetti, Nicole Novielli, Alexander Serebrenik, Massimiliano Di Penta:
Waiting around or job half-done? Sentiment in self-admitted technical debt. MSR 2021: 403-414 - [c217]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 - [c216]Stefanie Beyer, Christian Macho, Massimiliano Di Penta, Martin Pinzger:
What Kind of Questions Do Developers Ask on Stack Overflow? A Comparison of Automated Approaches to Classify Posts Into Question Categories. Software Engineering 2021: 27-28 - [e14]Diomidis Spinellis, Georgios Gousios, Marsha Chechik, Massimiliano Di Penta:
ESEC/FSE '21: 29th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, Athens, Greece, August 23-28, 2021. ACM 2021, ISBN 978-1-4503-8562-6 [contents] - [d9]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 - [d8]Phuong T. Nguyen, Juri Di Rocco, Claudio Di Sipio, Davide Di Ruscio, Massimiliano Di Penta:
crossminer/FOCUS: TSE Focus Replication package. Zenodo, 2021 - [d7]Fiorella Zampetti, Gianmarco Fucci, Alexander Serebrenik, Massimiliano Di Penta:
Dataset of the paper "Self-Admitted Technical Debt Practices: A Comparison Between Industry and Open-Source". Zenodo, 2021 - [d6]Fiorella Zampetti, Salvatore Geremia, Gabriele Bavota, Massimiliano Di Penta:
CI/CD Pipelines Evolution and Restructuring: A Qualitative and Quantitative Study - Dataset and scripts. Zenodo, 2021 - [i14]Jevgenija Pantiuchina, Fiorella Zampetti, Simone Scalabrino, Valentina Piantadosi, Rocco Oliveto, Gabriele Bavota, Massimiliano Di Penta:
Why Developers Refactor Source Code: A Mining-based Study. CoRR abs/2101.01430 (2021) - [i13]Phuong Thanh Nguyen, Juri Di Rocco, Claudio Di Sipio, Davide Di Ruscio, Massimiliano Di Penta:
Recommending API Function Calls and Code Snippets to Support Software Development. CoRR abs/2102.07508 (2021) - [i12]Matteo Ciniselli, Nathan Cooper, Luca Pascarella, Denys Poshyvanyk, Massimiliano Di Penta, Gabriele Bavota:
An Empirical Study on the Usage of BERT Models for Code Completion. CoRR abs/2103.07115 (2021) - [i11]Davide Falessi, Aalok Ahluwalia, Massimiliano Di Penta:
The Impact of Dormant Defects on Defect Prediction: a Study of 19 Apache Projects. CoRR abs/2105.12372 (2021) - [i10]Matteo Ciniselli, Nathan Cooper, Luca Pascarella, Antonio Mastropaolo, Emad Aghajani, Denys Poshyvanyk, Massimiliano Di Penta, Gabriele Bavota:
An Empirical Study on the Usage of Transformer Models for Code Completion. CoRR abs/2108.01585 (2021) - 2020
- [j78]Fiorella Zampetti, Carmine Vassallo, Sebastiano Panichella, Gerardo Canfora, Harald C. Gall, Massimiliano Di Penta:
An empirical characterization of bad practices in continuous integration. Empir. Softw. Eng. 25(2): 1095-1135 (2020) - [j77]Massimiliano Di Penta, David C. Shepherd:
Guest editorial: special section on software analysis, evolution, and reengineering. Empir. Softw. Eng. 25(2): 1379-1381 (2020) - [j76]Stefanie Beyer, Christian Macho, Massimiliano Di Penta, Martin Pinzger:
What kind of questions do developers ask on Stack Overflow? A comparison of automated approaches to classify posts into question categories. Empir. Softw. Eng. 25(3): 2258-2301 (2020) - [j75]Teerath Das, Massimiliano Di Penta, Ivano Malavolta:
Characterizing the evolution of statically-detectable performance issues of Android apps. Empir. Softw. Eng. 25(4): 2748-2808 (2020) - [j74]Fiorella Zampetti, Andrea Di Sorbo, Corrado Aaron Visaggio, Gerardo Canfora, Massimiliano Di Penta:
Demystifying the adoption of behavior-driven development in open source projects. Inf. Softw. Technol. 123: 106311 (2020) - [j73]Phuong Thanh Nguyen, Juri Di Rocco, Davide Di Ruscio, Massimiliano Di Penta:
CrossRec: Supporting software developers by recommending third-party libraries. J. Syst. Softw. 161 (2020) - [j72]Jevgenija Pantiuchina, Fiorella Zampetti, Simone Scalabrino, Valentina Piantadosi, Rocco Oliveto, Gabriele Bavota, Massimiliano Di Penta:
Why Developers Refactor Source Code: A Mining-based Study. ACM Trans. Softw. Eng. Methodol. 29(4): 29:1-29:30 (2020) - [c215]Michele Tufano, Jason Kimko, Shiya Wang, Cody Watson, Gabriele Bavota, Massimiliano Di Penta, Denys Poshyvanyk:
DeepMutation: a neural mutation tool. ICSE (Companion Volume) 2020: 29-32 - [c214]Gianmarco Fucci, Fiorella Zampetti, Alexander Serebrenik, Massimiliano Di Penta:
Who (Self) Admits Technical Debt? ICSME 2020: 672-676 - [c213]Massimiliano Di Penta:
Understanding and Improving Continuous Integration and Delivery Practice using Data from the Wild. ISEC 2020: 1:1 - [c212]Antonio Borrelli, Vittoria Nardone, Giuseppe A. Di Lucca, Gerardo Canfora, Massimiliano Di Penta:
Detecting Video Game-Specific Bad Smells in Unity Projects. MSR 2020: 198-208 - [c211]Carmine Vassallo, Sebastian Proksch, Anna Jancso, Harald C. Gall, Massimiliano Di Penta:
Configuration smells in continuous delivery pipelines: a linter and a six-month study on GitLab. ESEC/SIGSOFT FSE 2020: 327-337 - [c210]Massimiliano Di Penta, Gabriele Bavota, Fiorella Zampetti:
On the relationship between refactoring actions and bugs: a differentiated replication. ESEC/SIGSOFT FSE 2020: 556-567 - [c209]Fiorella Zampetti, Alexander Serebrenik, Massimiliano Di Penta:
Automatically Learning Patterns for Self-Admitted Technical Debt Removal. SANER 2020: 355-366 - [c208]Árpád Beszédes, Ferenc Horváth, Massimiliano Di Penta, Tibor Gyimóthy:
Leveraging Contextual Information from Function Call Chains to Improve Fault Localization. SANER 2020: 468-479 - [d5]Gianmarco Fucci, Fiorella Zampetti, Alexander Serebrenik, Massimiliano Di Penta:
Who (Self) Admits Technical Debt? Zenodo, 2020 - [d4]Massimiliano Di Penta, Gabriele Bavota, Fiorella Zampetti:
On the Relationship between Refactoring Actions and Bugs: A Differentiated Replication - Replication Package. Zenodo, 2020 - [d3]Carmine Vassallo, Sebastian Proksch, Anna Jancso, Harald C. Gall, Massimiliano Di Penta:
Replication Package for "Configuration Smells in Continuous Delivery Pipelines: A Linter and A Six-Month Study on GitLab". Version v1.0. Zenodo, 2020 [all versions] - [d2]