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2020 – today
- 2023
[j56]Valentina Lenarduzzi
, Fabiano Pecorelli, Nyyti Saarimäki, Savanna Lujan, Fabio Palomba:
A critical comparison on six static analysis tools: Detection, agreement, and precision. J. Syst. Softw. 198: 111575 (2023)- [j55]Michael Felderer, Davide Taibi, Fabio Palomba, Michael Epping, Malte Lochau, Benjamin Weder:
Software Engineering Challenges for Quantum Computing: Report from the First Working Seminar on Quantum Software Engineering (WSQSE 22). ACM SIGSOFT Softw. Eng. Notes 48(2): 29-32 (2023) - [j54]Emanuele Iannone, Roberta Guadagni, Filomena Ferrucci, Andrea De Lucia, Fabio Palomba:
The Secret Life of Software Vulnerabilities: A Large-Scale Empirical Study. IEEE Trans. Software Eng. 49(1): 44-63 (2023) - [c94]Umberto Bilotti, Dario Di Dario, Fabio Palomba, Carmine Gravino, Maurizio Sibilio:
Machine Learning for Educational Metaverse: How Far Are We? ICCE 2023: 1-2 - [i13]Sergio Moreschini, Gilberto Recupito, Valentina Lenarduzzi, Fabio Palomba, David Hästbacka, Davide Taibi:
Toward End-to-End MLOps Tools Map: A Preliminary Study based on a Multivocal Literature Review. CoRR abs/2304.03254 (2023) - 2022
- [j53]Fabiano Pecorelli, Gemma Catolino, Filomena Ferrucci, Andrea De Lucia, Fabio Palomba:
Software testing and Android applications: a large-scale empirical study. Empir. Softw. Eng. 27(2): 31 (2022) - [j52]Fabiano Pecorelli, Savanna Lujan, Valentina Lenarduzzi, Fabio Palomba, Andrea De Lucia:
On the adequacy of static analysis warnings with respect to code smell prediction. Empir. Softw. Eng. 27(3): 64 (2022) - [j51]Sofien Boutaib, Maha Elarbi, Slim Bechikh, Fabio Palomba, Lamjed Ben Said:
Handling uncertainty in SBSE: a possibilistic evolutionary approach for code smells detection. Empir. Softw. Eng. 27(6): 124 (2022) - [j50]Marianna Di Gregorio, Dario Di Nucci, Fabio Palomba, Giuliana Vitiello:
The making of accessible Android applications: an empirical study on the state of the practice. Empir. Softw. Eng. 27(6): 145 (2022) - [j49]Nemania Borovits, Indika Kumara, Dario Di Nucci, Parvathy Krishnan, Stefano Dalla Palma, Fabio Palomba, Damian A. Tamburri, Willem-Jan van den Heuvel:
FindICI: Using machine learning to detect linguistic inconsistencies between code and natural language descriptions in infrastructure-as-code. Empir. Softw. Eng. 27(7): 178 (2022) - [j48]Valeria Pontillo, Fabio Palomba, Filomena Ferrucci:
Static test flakiness prediction: How Far Can We Go? Empir. Softw. Eng. 27(7): 187 (2022) - [j47]Francesco Lomio, Emanuele Iannone, Andrea De Lucia, Fabio Palomba, Valentina Lenarduzzi:
Just-in-time software vulnerability detection: Are we there yet? J. Syst. Softw. 188: 111283 (2022) - [j46]Manuel De Stefano, Fabiano Pecorelli, Dario Di Nucci, Fabio Palomba, Andrea De Lucia:
Software engineering for quantum programming: How far are we? J. Syst. Softw. 190: 111326 (2022) - [j45]Giammaria Giordano, Fabio Palomba, Filomena Ferrucci:
On the use of artificial intelligence to deal with privacy in IoT systems: A systematic literature review. J. Syst. Softw. 193: 111475 (2022) - [j44]Stefano Dalla Palma, Dario Di Nucci, Fabio Palomba, Damian A. Tamburri:
Within-Project Defect Prediction of Infrastructure-as-Code Using Product and Process Metrics. IEEE Trans. Software Eng. 48(6): 2086-2104 (2022) - [c93]Gilberto Recupito, Fabiano Pecorelli, Gemma Catolino, Sergio Moreschini, Dario Di Nucci, Fabio Palomba, Damian A. Tamburri:
A Multivocal Literature Review of MLOps Tools and Features. SEAA 2022: 84-91 - [c92]Stefano Lambiase, Gemma Catolino, Fabiano Pecorelli, Damian A. Tamburri, Fabio Palomba, Willem-Jan van den Heuvel, Filomena Ferrucci:
"There and Back Again?" On the Influence of Software Community Dispersion Over Productivity. SEAA 2022: 177-184 - [c91]Giammaria Giordano, Fabio Palomba, Filomena Ferrucci:
A Preliminary Conceptualization and Analysis on Automated Static Analysis Tools for Vulnerability Detection in Android Apps. SEAA 2022: 201-208 - [c90]Francesco Lomio, Luca Pascarella, Fabio Palomba, Valentina Lenarduzzi:
Regularity or Anomaly? On The Use of Anomaly Detection for Fine-Grained JIT Defect Prediction. SEAA 2022: 270-273 - [c89]Sofien Boutaib, Maha Elarbi, Slim Bechikh, Fabio Palomba, Lamjed Ben Said:
A bi-level evolutionary approach for the multi-label detection of smelly classes. GECCO Companion 2022: 782-785 - [c88]Simone Avolicino, Marianna Di Gregorio, Fabio Palomba, Marco Romano, Monica Sebillo, Giuliana Vitiello:
AI-Based Emotion Recognition to Study Users' Perception of Dark Patterns. HCI (41) 2022: 185-203 - [c87]Stefano Lambiase, Gemma Catolino, Damian A. Tamburri, Alexander Serebrenik, Fabio Palomba, Filomena Ferrucci:
Good Fences Make Good Neighbours? On the Impact of Cultural and Geographical Dispersion on Community Smells. ICSE-SEIS 2022: 67-78 - [c86]Haris Mumtaz, Carlos V. Paradis, Fabio Palomba, Damian A. Tamburri, Rick Kazman, Kelly Blincoe:
A Preliminary Study on the Assignment of GitHub Issues to Issue Commenters and the Relationship with Social Smells. CHASE@ICSE 2022: 61-65 - [c85]Gianmario Voria, Viviana Pentangelo, Antonio Della Porta, Stefano Lambiase, Gemma Catolino, Fabio Palomba, Filomena Ferrucci:
Community Smell Detection and Refactoring in SLACK: The CADOCS Project. ICSME 2022: 469-473 - [c84]Emanuele Iannone, Fabio Palomba:
The Phantom Menace: Unmasking Security Issues in Evolving Software. ICSME 2022: 612-616 - [c83]Manuel De Stefano, Dario Di Nucci, Fabio Palomba, Davide Taibi, Andrea De Lucia:
Towards Quantum-algorithms-as-a-service. QP4SE@ESEC/SIGSOFT FSE 2022: 7-10 - [c82]Giuseppe Cascavilla, Gemma Catolino, Fabio Palomba, Andreas S. Andreou, Damian A. Tamburri, Willem-Jan van den Heuvel:
Unsupervised Labor Intelligence Systems: A Detection Approach and Its Evaluation - A Case Study in the Netherlands. SummerSOC 2022: 79-98 - [c81]Camila Sarmento, Tiago Massoni, Alexander Serebrenik, Gemma Catolino, Damian A. Tamburri, Fabio Palomba:
Gender Diversity and Community Smells: A Double-Replication Study on Brazilian Software Teams. SANER 2022: 273-283 - [c80]Giulia Sellitto, Emanuele Iannone, Zadia Codabux, Valentina Lenarduzzi, Andrea De Lucia, Fabio Palomba, Filomena Ferrucci:
Toward Understanding the Impact of Refactoring on Program Comprehension. SANER 2022: 731-742 - [c79]Giammaria Giordano, Antonio Fasulo, Gemma Catolino, Fabio Palomba, Filomena Ferrucci, Carmine Gravino:
On the Evolution of Inheritance and Delegation Mechanisms and Their Impact on Code Quality. SANER 2022: 947-958 - [i12]Manuel De Stefano, Fabiano Pecorelli, Dario Di Nucci, Fabio Palomba, Andrea De Lucia:
Software Engineering for Quantum Programming: How Far Are We? CoRR abs/2203.16969 (2022) - [i11]Fabiano Pecorelli, Giovanni Grano, Fabio Palomba, Harald C. Gall, Andrea De Lucia:
Toward Granular Automatic Unit Test Case Generation. CoRR abs/2204.05561 (2022) - [i10]Giammaria Giordano, Gerardo Festa, Gemma Catolino, Fabio Palomba, Filomena Ferrucci, Carmine Gravino:
On the Adoption and Effects of Source Code Reuse on Defect Proneness and Maintenance Effort. CoRR abs/2208.07471 (2022) - [i9]Valeria Pontillo, Dario Amoroso d'Aragona, Fabiano Pecorelli, Dario Di Nucci, Filomena Ferrucci, Fabio Palomba:
Machine Learning-Based Test Smell Detection. CoRR abs/2208.07574 (2022) - 2021
- [j43]Fabiano Pecorelli, Fabio Palomba, Andrea De Lucia:
The Relation of Test-Related Factors to Software Quality: A Case Study on Apache Systems. Empir. Softw. Eng. 26(2): 18 (2021) - [j42]Sofien Boutaib, Slim Bechikh, Fabio Palomba, Maha Elarbi, Mohamed Makhlouf, Lamjed Ben Said:
Code smell detection and identification in imbalanced environments. Expert Syst. Appl. 166: 114076 (2021) - [j41]Indika Kumara, Martin Garriga, Angel Urbano Romeu, Dario Di Nucci, Fabio Palomba, Damian Andrew Tamburri, Willem-Jan van den Heuvel:
The do's and don'ts of infrastructure code: A systematic gray literature review. Inf. Softw. Technol. 137: 106593 (2021) - [j40]Islem Saidani, Ali Ouni, Mohamed Wiem Mkaouer, Fabio Palomba:
On the impact of Continuous Integration on refactoring practice: An exploratory study on TravisTorrent. Inf. Softw. Technol. 138: 106618 (2021) - [j39]Fabio Palomba, Damian Andrew Tamburri:
Predicting the emergence of community smells using socio-technical metrics: A machine-learning approach. J. Syst. Softw. 171: 110847 (2021) - [j38]Damian A. Tamburri, Fabio Palomba:
Evolving software forges: An experience report from Apache Allura. J. Softw. Evol. Process. 33(12) (2021) - [j37]Damian A. Tamburri, Fabio Palomba, Rick Kazman:
Success and Failure in Software Engineering: A Followup Systematic Literature Review. IEEE Trans. Engineering Management 68(2): 599-611 (2021) - [j36]Fabio Palomba, Damian Andrew Tamburri, Francesca Arcelli Fontana, Rocco Oliveto, Andy Zaidman, Alexander Serebrenik:
Beyond Technical Aspects: How Do Community Smells Influence the Intensity of Code Smells? IEEE Trans. Software Eng. 47(1): 108-129 (2021) - [j35]Damian A. Tamburri, Fabio Palomba, Rick Kazman:
Exploring Community Smells in Open-Source: An Automated Approach. IEEE Trans. Software Eng. 47(3): 630-652 (2021) - [j34]Giovanni Grano, Fabio Palomba, Harald C. Gall:
Lightweight Assessment of Test-Case Effectiveness Using Source-Code-Quality Indicators. IEEE Trans. Software Eng. 47(4): 758-774 (2021) - [c78]Gemma Catolino, Fabio Palomba, Damian A. Tamburri, Alexander Serebrenik:
Understanding Community Smells Variability: A Statistical Approach. ICSE-SEIS 2021: 77-86 - [c77]Gemma Catolino, Fabio Palomba, Damian Andrew Tamburri, Alexander Serebrenik:
Understanding Community Smells Variability: A Statistical Approach: Replication Package Instructions. ICSE (Companion Volume) 2021: 196-197 - [c76]Sofien Boutaib, Maha Elarbi, Slim Bechikh, Fabio Palomba, Lamjed Ben Said:
A Possibilistic Evolutionary Approach to Handle the Uncertainty of Software Metrics Thresholds in Code Smells Detection. QRS 2021: 574-585 - [c75]Manuel De Stefano, Fabiano Pecorelli, Fabio Palomba, Andrea De Lucia:
Comparing within- and cross-project machine learning algorithms for code smell detection. MaLTeSQuE@ESEC/SIGSOFT FSE 2021: 1-6 - [c74]Valeria Pontillo, Fabio Palomba, Filomena Ferrucci:
Toward static test flakiness prediction: a feasibility study. MaLTeSQuE@ESEC/SIGSOFT FSE 2021: 19-24 - [i8]Valentina Lenarduzzi, Savanna Lujan, Nyyti Saarimäki, Fabio Palomba:
A Critical Comparison on Six Static Analysis Tools: Detection, Agreement, and Precision. CoRR abs/2101.08832 (2021) - 2020
- [j33]Gemma Catolino, Fabio Palomba, Francesca Arcelli Fontana, Andrea De Lucia, Andy Zaidman, Filomena Ferrucci:
Improving change prediction models with code smell-related information. Empir. Softw. Eng. 25(1): 49-95 (2020) - [j32]Carmine Vassallo, Sebastiano Panichella, Fabio Palomba, Sebastian Proksch, Harald C. Gall, Andy Zaidman:
How developers engage with static analysis tools in different contexts. Empir. Softw. Eng. 25(2): 1419-1457 (2020) - [j31]Pasquale Salza, Fabio Palomba, Dario Di Nucci, Andrea De Lucia, Filomena Ferrucci:
Third-party libraries in mobile apps. Empir. Softw. Eng. 25(3): 2341-2377 (2020) - [j30]Fabio Palomba, Andy Zaidman:
Retraction Note: Retraction note to: The smell of fear: on the relation between test smells and flaky tests. Empir. Softw. Eng. 25(4): 3041 (2020) - [j29]Luca Pascarella, Fabio Palomba, Alberto Bacchelli:
On the performance of method-level bug prediction: A negative result. J. Syst. Softw. 161 (2020) - [j28]Stefano Dalla Palma, Dario Di Nucci, Fabio Palomba, Damian Andrew Tamburri:
Toward a catalog of software quality metrics for infrastructure code. J. Syst. Softw. 170: 110726 (2020) - [j27]Francesca Arcelli Fontana, Gilles Perrouin, Apostolos Ampatzoglou, Mathieu Acher, Bartosz Walter, Maxime Cordy, Fabio Palomba, Xavier Devroey:
MALTESQUE 2019 Workshop Summary. ACM SIGSOFT Softw. Eng. Notes 45(1): 34-35 (2020) - [j26]Gemma Catolino, Fabio Palomba, Damian A. Tamburri, Alexander Serebrenik, Filomena Ferrucci:
Gender Diversity and Community Smells: Insights From the Trenches. IEEE Softw. 37(1): 10-16 (2020) - [j25]Damian Andrew Tamburri, Kelly Blincoe, Fabio Palomba, Rick Kazman:
"The Canary in the Coal Mine..." A cautionary tale from the decline of SourceForge. Softw. Pract. Exp. 50(10): 1930-1951 (2020) - [c73]Giuseppe Cascavilla, Johann Slabber, Fabio Palomba, Dario Di Nucci, Damian A. Tamburri, Willem-Jan van den Heuvel:
Counterterrorism for Cyber-Physical Spaces: A Computer Vision Approach. AVI 2020: 52:1-52:5 - [c72]Manuel De Stefano, Michele Simone Gambardella, Fabiano Pecorelli, Fabio Palomba, Andrea De Lucia:
cASpER: A Plug-in for Automated Code Smell Detection and Refactoring. AVI 2020: 79:1-79:3 - [c71]Fabiano Pecorelli, Gianluca Di Lillo, Fabio Palomba, Andrea De Lucia:
VITRuM: A Plug-In for the Visualization of Test-Related Metrics. AVI 2020: 101:1-101:3 - [c70]Linda Di Geronimo, Larissa Braz, Enrico Fregnan, Fabio Palomba, Alberto Bacchelli:
UI Dark Patterns and Where to Find Them: A Study on Mobile Applications and User Perception. CHI 2020: 1-14 - [c69]Gemma Catolino, Fabio Palomba, Damian A. Tamburri, Alexander Serebrenik, Filomena Ferrucci:
Refactoring community smells in the wild: the practitioner's field manual. ICSE-SEIS 2020: 25-34 - [c68]Anthony Peruma, Christian D. Newman, Mohamed Wiem Mkaouer, Ali Ouni, Fabio Palomba:
An Exploratory Study on the Refactoring of Unit Test Files in Android Applications. ICSE (Workshops) 2020: 350-357 - [c67]Manuel De Stefano, Fabiano Pecorelli, Damian A. Tamburri, Fabio Palomba, Andrea De Lucia:
Splicing Community Patterns and Smells: A Preliminary Study. ICSE (Workshops) 2020: 703-710 - [c66]Giovanni Grano, Cristian De Iaco, Fabio Palomba, Harald C. Gall:
Pizza versus Pinsa: On the Perception and Measurability of Unit Test Code Quality. ICSME 2020: 336-347 - [c65]Manuel De Stefano, Fabiano Pecorelli, Damian Andrew Tamburri, Fabio Palomba, Andrea De Lucia:
Refactoring Recommendations Based on the Optimization of Socio-Technical Congruence. ICSME 2020: 794-796 - [c64]Marianna Di Gregorio, Dario Di Nucci, Fabio Palomba, Giuliana Vitiello:
The Making of Accessible Android Applications: An Empirical Study on the State of the Practice. ICSME 2020: 857-861 - [c63]Fabiano Pecorelli, Gemma Catolino, Filomena Ferrucci, Andrea De Lucia, Fabio Palomba:
Testing of Mobile Applications in the Wild: A Large-Scale Empirical Study on Android Apps. ICPC 2020: 296-307 - [c62]Stefano Lambiase, Andrea Cupito, Fabiano Pecorelli, Andrea De Lucia, Fabio Palomba:
Just-In-Time Test Smell Detection and Refactoring: The DARTS Project. ICPC 2020: 441-445 - [c61]Valentina Lenarduzzi, Fabio Palomba, Davide Taibi, Damian Andrew Tamburri:
OpenSZZ: A Free, Open-Source, Web-Accessible Implementation of the SZZ Algorithm. ICPC 2020: 446-450 - [c60]Emanuele Iannone, Fabiano Pecorelli, Dario Di Nucci, Fabio Palomba, Andrea De Lucia:
Refactoring Android-specific Energy Smells: A Plugin for Android Studio. ICPC 2020: 451-455 - [c59]Fabiano Pecorelli, Fabio Palomba, Foutse Khomh, Andrea De Lucia:
Developer-Driven Code Smell Prioritization. MSR 2020: 220-231 - [c58]Savanna Lujan, Fabiano Pecorelli, Fabio Palomba, Andrea De Lucia, Valentina Lenarduzzi:
A preliminary study on the adequacy of static analysis warnings with respect to code smell prediction. MaLTeSQuE@ESEC/SIGSOFT FSE 2020: 1-6 - [c57]Nemania Borovits, Indika Kumara, Parvathy Krishnan, Stefano Dalla Palma, Dario Di Nucci, Fabio Palomba, Damian A. Tamburri, Willem-Jan van den Heuvel:
DeepIaC: deep learning-based linguistic anti-pattern detection in IaC. MaLTeSQuE@ESEC/SIGSOFT FSE 2020: 7-12 - [c56]Martin Steinhauer, Fabio Palomba:
Speeding up the data extraction of machine learning approaches: a distributed framework. MaLTeSQuE@ESEC/SIGSOFT FSE 2020: 13-18 - [c55]Anthony Peruma, Khalid Almalki, Christian D. Newman, Mohamed Wiem Mkaouer, Ali Ouni, Fabio Palomba:
tsDetect: an open source test smells detection tool. ESEC/SIGSOFT FSE 2020: 1650-1654 - [i7]Stefano Dalla Palma, Dario Di Nucci, Fabio Palomba, Damian A. Tamburri:
Towards a Catalogue of Software Quality Metrics for Infrastructure Code. CoRR abs/2005.13474 (2020) - [i6]Damian A. Tamburri, Fabio Palomba, Rick Kazman:
Success and Failure in Software Engineering: a Followup Systematic Literature Review. CoRR abs/2006.12086 (2020) - [i5]Nemania Borovits, Indika Kumara, Parvathy Krishnan, Stefano Dalla Palma, Dario Di Nucci, Fabio Palomba, Damian A. Tamburri, Willem-Jan van den Heuvel:
DeepIaC: Deep Learning-Based Linguistic Anti-pattern Detection in IaC. CoRR abs/2009.10801 (2020)
2010 – 2019
- 2019
- [j24]Damian A. Tamburri, Fabio Palomba, Alexander Serebrenik, Andy Zaidman:
Discovering community patterns in open-source: a systematic approach and its evaluation. Empir. Softw. Eng. 24(3): 1369-1417 (2019) - [j23]Sebastiano Panichella, Fabio Palomba, David Lo, Meiyappan Nagappan:
Guest Editorial: Special Issue on Software Engineering for Mobile Applications. Empir. Softw. Eng. 24(6): 3249-3254 (2019) - [j22]Fabio Palomba, Dario Di Nucci, Annibale Panichella, Andy Zaidman, Andrea De Lucia:
On the impact of code smells on the energy consumption of mobile applications. Inf. Softw. Technol. 105: 43-55 (2019) - [j21]Enrico Fregnan, Tobias Baum, Fabio Palomba, Alberto Bacchelli:
A survey on software coupling relations and tools. Inf. Softw. Technol. 107: 159-178 (2019) - [j20]Muhammad Ilyas Azeem, Fabio Palomba, Lin Shi, Qing Wang:
Machine learning techniques for code smell detection: A systematic literature review and meta-analysis. Inf. Softw. Technol. 108: 115-138 (2019) - [j19]Luca Pascarella, Fabio Palomba, Alberto Bacchelli:
Fine-grained just-in-time defect prediction. J. Syst. Softw. 150: 22-36 (2019) - [j18]Gemma Catolino, Fabio Palomba, Andy Zaidman, Filomena Ferrucci:
Not all bugs are the same: Understanding, characterizing, and classifying bug types. J. Syst. Softw. 152: 165-181 (2019) - [j17]Giovanni Grano, Fabio Palomba, Dario Di Nucci, Andrea De Lucia, Harald C. Gall:
Scented since the beginning: On the diffuseness of test smells in automatically generated test code. J. Syst. Softw. 156: 312-327 (2019) - [j16]Carmine Vassallo, Giovanni Grano, Fabio Palomba, Harald C. Gall, Alberto Bacchelli:
A large-scale empirical exploration on refactoring activities in open source software projects. Sci. Comput. Program. 180: 1-15 (2019) - [j15]Apostolos Ampatzoglou, Francesca Arcelli Fontana, Fabio Palomba, Bartosz Walter:
Introduction to the special issue on "Machine Learning Techniques for Software Quality Evaluation". J. Softw. Evol. Process. 31(9) (2019) - [j14]Fabio Palomba, Marco Zanoni, Francesca Arcelli Fontana, Andrea De Lucia, Rocco Oliveto:
Toward a Smell-Aware Bug Prediction Model. IEEE Trans. Software Eng. 45(2): 194-218 (2019) - [c54]Gemma Catolino, Fabio Palomba, Damian A. Tamburri:
The Secret Life of Software Communities: What we Know and What we Don't Know. BENEVOL 2019 - [c53]Fabio Palomba:
Flaky Tests: Problems, Solutions, and Challenges. BENEVOL 2019 - [c52]Anthony Peruma, Khalid Almalki, Christian D. Newman, Mohamed Wiem Mkaouer, Ali Ouni, Fabio Palomba:
On the distribution of test smells in open source Android applications: an exploratory study. CASCON 2019: 193-202 - [c51]Pavlina Wurzelová, Fabio Palomba, Alberto Bacchelli:
Characterizing women (not) contributing to open-source. GE@ICSE 2019: 5-8 - [c50]Gemma Catolino, Fabio Palomba, Damian A. Tamburri, Alexander Serebrenik, Filomena Ferrucci:
Gender diversity and women in software teams: how do they affect community smells? ICSE-SEIS 2019: 11-20 - [c49]Davide Spadini, Fabio Palomba, Tobias Baum, Stefan Hanenberg, Magiel Bruntink, Alberto Bacchelli:
Test-driven code review: an empirical study. ICSE 2019: 1061-1072 - [c48]Gemma Catolino, Fabio Palomba, Andy Zaidman, Filomena Ferrucci:
How the Experience of Development Teams Relates to Assertion Density of Test Classes. ICSME 2019: 223-234 - [c47]Michele Guerriero, Martin Garriga, Damian A. Tamburri, Fabio Palomba:
Adoption, Support, and Challenges of Infrastructure-as-Code: Insights from Industry. ICSME 2019: 580-589 - [c46]Fabiano Pecorelli, Fabio Palomba, Dario Di Nucci, Andrea De Lucia:
Comparing heuristic and machine learning approaches for metric-based code smell detection. ICPC 2019: 93-104 - [c45]Domenico Serra, Giovanni Grano, Fabio Palomba, Filomena Ferrucci, Harald C. Gall, Alberto Bacchelli:
On the effectiveness of manual and automatic unit test generation: ten years later. MSR 2019: 121-125 - [c44]Mariaclaudia Nicolai, Luca Pascarella, Fabio Palomba, Alberto Bacchelli:
Healthcare Android apps: a tale of the customers' perspective. WAMA@ESEC/SIGSOFT FSE 2019: 33-39 - [c43]Moritz Eck, Fabio Palomba, Marco Castelluccio, Alberto Bacchelli:
Understanding flaky tests: the developer's perspective. ESEC/SIGSOFT FSE 2019: 830-840 - [e2]Francesca Arcelli Fontana, Bartosz Walter, Apostolos Ampatzoglou, Fabio Palomba, Gilles Perrouin, Mathieu Acher, Maxime Cordy, Xavier Devroey:
Proceedings of the 3rd ACM SIGSOFT International Workshop on Machine Learning Techniques for Software Quality Evaluation, MaLTeSQuE@ESEC/SIGSOFT FSE 2019, Tallinn, Estonia, August 27, 2019. ACM 2019, ISBN 978-1-4503-6855-1 [contents] - [i4]Gemma Catolino, Fabio Palomba, Francesca Arcelli Fontana, Andrea De Lucia, Andy Zaidman, Filomena Ferrucci:
Improving Change Prediction Models with Code Smell-Related Information. CoRR abs/1905.10889 (2019) - [i3]Moritz Eck, Fabio Palomba, Marco Castelluccio, Alberto Bacchelli:
Understanding Flaky Tests: The Developer's Perspective. CoRR abs/1907.01466 (2019) - [i2]Gemma Catolino, Fabio Palomba, Andy Zaidman, Filomena Ferrucci:
Not All Bugs Are the Same: Understanding, Characterizing, and Classifying the Root Cause of Bugs. CoRR abs/1907.11031 (2019) - [i1]Luca Pascarella, Davide Spadini, Fabio Palomba, Alberto Bacchelli:
On The Effect Of Code Review On Code Smells. CoRR abs/1912.10098 (2019) - 2018
- [j13]Fabio Palomba, Gabriele Bavota, Massimiliano Di Penta, Fausto Fasano, Rocco Oliveto, Andrea De Lucia:
On the diffuseness and the impact on maintainability of code smells: a large scale empirical investigation. Empir. Softw. Eng. 23(3): 1188-1221 (2018) - [j12]