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2020 – today
- 2022
[j46]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)- [j45]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) - [j44]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) - [i10]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) - [i9]Fabiano Pecorelli, Giovanni Grano, Fabio Palomba, Harald C. Gall, Andrea De Lucia:
Toward Granular Automatic Unit Test Case Generation. CoRR abs/2204.05561 (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]Fabio Palomba, Gabriele Bavota, Massimiliano Di Penta, Fausto Fasano, Rocco Oliveto, Andrea De Lucia:
A large-scale empirical study on the lifecycle of code smell co-occurrences. Inf. Softw. Technol. 99: 1-10 (2018) - [j11]Fabio Palomba, Mario Linares Vásquez, Gabriele Bavota, Rocco Oliveto, Massimiliano Di Penta, Denys Poshyvanyk, Andrea De Lucia:
Crowdsourcing user reviews to support the evolution of mobile apps. J. Syst. Softw. 137: 143-162 (2018) - [j10]Gemma Catolino, Fabio Palomba, Andrea De Lucia, Filomena Ferrucci, Andy Zaidman:
Enhancing change prediction models using developer-related factors. J. Syst. Softw. 143: 14-28 (2018) - [j9]Luca Pascarella, Davide Spadini, Fabio Palomba, Magiel Bruntink, Alberto Bacchelli:
Information Needs in Contemporary Code Review. Proc. ACM Hum. Comput. Interact. 2(CSCW): 135:1-135:27 (2018) - [j8]Dario Di Nucci, Fabio Palomba, Giuseppe De Rosa, Gabriele Bavota, Rocco Oliveto, Andrea De Lucia:
A Developer Centered Bug Prediction Model. IEEE Trans. Software Eng. 44(1): 5-24 (2018) - [j7]Fabio Palomba, Annibale Panichella, Andy Zaidman, Rocco Oliveto, Andrea De Lucia:
The Scent of a Smell: An Extensive Comparison Between Textual and Structural Smells. IEEE Trans. Software Eng. 44(10): 977-1000 (2018) - [c42]Dario Di Nucci, Fabio Palomba, Andrea De Lucia:
Evaluating the Adaptive Selection of Classifiers for Cross-Project Bug Prediction. RAISE@ICSE 2018: 48-54 - [c41]Luca Pascarella, Franz-Xaver Geiger, Fabio Palomba, Dario Di Nucci, Ivano Malavolta, Alberto Bacchelli:
Self-reported activities of Android developers. MOBILESoft@ICSE 2018: 144-155 - [c40]Fabio Palomba, Damian A. Tamburri, Alexander Serebrenik, Andy Zaidman, Francesca Arcelli Fontana, Rocco Oliveto:
How do community smells influence code smells? ICSE (Companion Volume) 2018: 240-241 - [c39]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. ICSE 2018: 482 - [c38]Fabio Palomba, Annibale Panichella, Andy Zaidman, Rocco Oliveto, Andrea De Lucia:
The scent of a smell: an extensive comparison between textual and structural smells. ICSE 2018: 740 - [c37]Davide Spadini, Fabio Palomba, Andy Zaidman, Magiel Bruntink, Alberto Bacchelli:
On the Relation of Test Smells to Software Code Quality. ICSME 2018: 1-12 - [c36]Fabio Palomba, Andy Zaidman, Andrea De Lucia:
Automatic Test Smell Detection Using Information Retrieval Techniques. ICSME 2018: 311-322 - [c35]Carmine Vassallo, Fabio Palomba, Harald C. Gall:
Continuous Refactoring in CI: A Preliminary Study on the Perceived Advantages and Barriers. ICSME 2018: 564-568 - [c34]Pasquale Salza, Fabio Palomba, Dario Di Nucci, Cosmo D'Uva, Andrea De Lucia, Filomena Ferrucci:
Do developers update third-party libraries in mobile apps? ICPC 2018: 255-265 - [c33]Vladimir Kovalenko, Fabio Palomba, Alberto Bacchelli:
Mining file histories: should we consider branches? ASE 2018: 202-213 - [c32]Carmine Vassallo, Fabio Palomba, Alberto Bacchelli, Harald C. Gall:
Continuous code quality: are we (really) doing that? ASE 2018: 790-795 - [c31]Damian Andrew Tamburri, Dario Di Nucci, Lucio Di Giacomo, Fabio Palomba:
Omniscient DevOps Analytics. DEVOPS 2018: 48-59 - [c30]Franz-Xaver Geiger, Ivano Malavolta, Luca Pascarella, Fabio Palomba, Dario Di Nucci, Alberto Bacchelli:
A graph-based dataset of commit history of real-world Android apps. MSR 2018: 30-33 - [c29]Luca Pascarella, Fabio Palomba, Massimiliano Di Penta, Alberto Bacchelli:
How is video game development different from software development in open source? MSR 2018: 392-402 - [c28]Carmine Vassallo, Sebastiano Panichella, Fabio Palomba, Sebastian Proksch, Andy Zaidman, Harald C. Gall:
Context is king: The developer perspective on the usage of static analysis tools. SANER 2018: 38-49 - [c27]Giovanni Grano, Adelina Ciurumelea, Sebastiano Panichella, Fabio Palomba, Harald C. Gall:
Exploring the integration of user feedback in automated testing of Android applications. SANER 2018: 72-83 - [c26]Lucas Pelloni, Giovanni Grano, Adelina Ciurumelea, Sebastiano Panichella, Fabio Palomba, Harald C. Gall:
BECLoMA: Augmenting stack traces with user review information. SANER 2018: 522-526 - [c25]Luca Pascarella, Fabio Palomba, Alberto Bacchelli:
Re-evaluating method-level bug prediction. SANER 2018: 592-601 - [c24]Dario Di Nucci, Fabio Palomba, Damian A. Tamburri, Alexander Serebrenik, Andrea De Lucia:
Detecting code smells using machine learning techniques: Are we there yet? SANER 2018: 612-621 - [e1]Francesca Arcelli Fontana, Bartosz Walter, Apostolos Ampatzoglou, Fabio Palomba:
2018 IEEE Workshop on Machine Learning Techniques for Software Quality Evaluation, MaLTeSQuE@SANER 2018, Campobasso, Italy, March 20, 2018. IEEE Computer Society 2018, ISBN 978-1-5386-5920-5 [contents] - 2017
- [j6]Michele Tufano, Fabio Palomba, Gabriele Bavota, Massimiliano Di Penta, Rocco Oliveto, Andrea De Lucia, Denys Poshyvanyk:
There and back again: Can you compile that snapshot? J. Softw. Evol. Process. 29(4) (2017) - [j5]Dario Di Nucci, Fabio Palomba, Rocco Oliveto, Andrea De Lucia:
Dynamic Selection of Classifiers in Bug Prediction: An Adaptive Method. IEEE Trans. Emerg. Top. Comput. Intell. 1(3): 202-212 (2017) - [j4]Michele Tufano, Fabio Palomba, Gabriele Bavota, Rocco Oliveto, Massimiliano Di Penta, Andrea De Lucia, Denys Poshyvanyk:
When and Why Your Code Starts to Smell Bad (and Whether the Smells Go Away). IEEE Trans. Software Eng. 43(11): 1063-1088 (2017) - [c23]Fabio Palomba, Alexander Serebrenik, Andy Zaidman:
Social Debt Analytics for Improving the Management of Software Evolution Tasks. BENEVOL 2017: 18-21 - [c22]Dario Di Nucci, Fabio Palomba, Antonio Prota, Annibale Panichella, Andy Zaidman, Andrea De Lucia:
PETrA: a software-based tool for estimating the energy profile of Android applications. ICSE (Companion Volume) 2017: 3-6 - [c21]