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Gemma Catolino
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2020 – today
- 2024
- [j16]Giammaria Giordano
, Gerardo Festa, Gemma Catolino
On the adoption and effects of source code reuse on defect proneness and maintenance effort. Empir. Softw. Eng. 29(1): 20 (2024) - [j15]Stefano Lambiase
An Empirical Investigation Into the Influence of Software Communities' Cultural and Geographical Dispersion on Productivity. J. Syst. Softw. 208: 111878 (2024) - [j14]Daniel Russo, Sebastian Baltes, Niels van Berkel, Paris Avgeriou
Generative AI in Software Engineering Must Be Human-Centered: The Copenhagen Manifesto. J. Syst. Softw. 216: 112115 (2024) - [j13]Gilberto Recupito, Fabiano Pecorelli, Gemma Catolino, Valentina Lenarduzzi, Davide Taibi
Technical debt in AI-enabled systems: On the prevalence, severity, impact, and management strategies for code and architecture. J. Syst. Softw. 216: 112151 (2024) - [j12]Stefano Dalla Palma
"Through the looking-glass ..." An empirical study on blob infrastructure blueprints in the Topology and Orchestration Specification for Cloud Applications. J. Softw. Evol. Process. 36(4) (2024) - [c33]Giusy Annunziata
Security Risk Assessment on Cloud: A Systematic Mapping Study. EASE 2024: 604-613 - [c32]Fabio Palomba
FRINGE: context-aware FaiRness engineerING in complex software systEms. ESEM 2024: 608-612 - [c31]Gianmario Voria
Is Attention All You Need? Toward a Conceptual Model for Social Awareness in Large Language Models. FORGE 2024: 69-73 - [c30]Hong-Mei Chen, Rick Kazman, Gemma Catolino, Massimo Manca, Damian Andrew Tamburri, Willem-Jan van den Heuvel:
An Empirical Study of Social Debt in Open-Source Projects: Social Drivers and the "Known Devil" Community Smell. HICSS 2024: 7239-7248 - [c29]Stefano Lambiase
Dealing With Cultural Dispersion: a Novel Theoretical Framework for Software Engineering Research and Practice. ICSE (SEIS) 2024: 74-84 - [c28]Antonio Della Porta, Vincenzo De Martino, Gilberto Recupito, Carmine Iemmino, Gemma Catolino, Dario Di Nucci, Fabio Palomba:
Using Large Language Models to Support Software Engineering Documentation in Waterfall Life Cycles: Are We There Yet? Ital-IA 2024: 42-47 - [e5]Denys Poshyvanyk, Gemma Catolino, Julia Rubin, Wing Lam:
Proceedings of the IEEE/ACM 11th International Conference on Mobile Software Engineering and Systems, MOBILESoft 2024, Lisbon, Portugal, April 14-15, 2024. ACM 2024 [contents] - [i8]Gianmario Voria, Giulia Sellitto, Carmine Ferrara, Francesco Abate, Andrea De Lucia, Filomena Ferrucci, Gemma Catolino, Fabio Palomba:
A Catalog of Fairness-Aware Practices in Machine Learning Engineering. CoRR abs/2408.16683 (2024) - [i7]Stefano Lambiase, Gemma Catolino, Fabio Palomba, Filomena Ferrucci, Daniel Russo:
Investigating the Role of Cultural Values in Adopting Large Language Models for Software Engineering. CoRR abs/2409.05055 (2024) - [i6]Stefano Lambiase, Gemma Catolino, Fabio Palomba, Filomena Ferrucci:
Motivations, Challenges, Best Practices, and Benefits for Bots and Conversational Agents in Software Engineering: A Multivocal Literature Review. CoRR abs/2409.11864 (2024) - 2023
- [j11]Stefano Dalla Palma, Gemma Catolino
Go Serverless With RADON! A Practical DevOps Experience Report. IEEE Softw. 40(2): 80-89 (2023) - [j10]Francesco Amato, Matteo Cicalese, Luca Contrasto, Giacomo Cubicciotti, Gerardo D'Ambola, Antonio La Marca, Giuseppe Pagano, Fiorentino Tomeo, Gennaro Alessio Robertazzi, Gabriele Vassallo, Giovanni Acampora
QuantuMoonLight: A low-code platform to experiment with quantum machine learning. SoftwareX 22: 101399 (2023) - [c27]Indika Kumara
Architecting MLOps in the Cloud: From Theory to Practice. ICSA-C 2023: 333-335 - [c26]Giuseppe Cascavilla, Gemma Catolino, Mauro Conti
When the Few Outweigh the Many: Illicit Content Recognition with Few-Shot Learning. SECRYPT 2023: 324-334 - [i5]Giuseppe Cascavilla, Gemma Catolino, Mauro Conti, D. Mellios, Damian A. Tamburri:
When the Few Outweigh the Many: Illicit Content Recognition with Few-Shot Learning. CoRR abs/2311.17026 (2023) - [i4]Giuseppe Cascavilla, Gemma Catolino, Mirella Sangiovanni:
Illicit Darkweb Classification via Natural-language Processing: Classifying Illicit Content of Webpages based on Textual Information. CoRR abs/2312.04944 (2023) - 2022
- [j9]Fabiano Pecorelli
Software testing and Android applications: a large-scale empirical study. Empir. Softw. Eng. 27(2): 31 (2022) - [j8]Kunsong Zhao, Zhou Xu
A compositional model for effort-aware Just-In-Time defect prediction on android apps. IET Softw. 16(3): 259-278 (2022) - [j7]Daniel Feitosa, Gemma Catolino, Valentina Lenarduzzi, Apostolos Ampatzoglou:
MaLTeSQuE 2021 Workshop Summary. ACM SIGSOFT Softw. Eng. Notes 47(1): 15-17 (2022) - [j6]Zhou Xu
Effort-Aware Just-in-Time Bug Prediction for Mobile Apps Via Cross-Triplet Deep Feature Embedding. IEEE Trans. Reliab. 71(1): 204-220 (2022) - [c25]Gilberto Recupito
A Multivocal Literature Review of MLOps Tools and Features. SEAA 2022: 84-91 - [c24]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 - [c23]Stefano Lambiase
Good Fences Make Good Neighbours? On the Impact of Cultural and Geographical Dispersion on Community Smells. ICSE-SEIS 2022: 67-78 - [c22]Giuseppe Cascavilla
"When the Code becomes a Crime Scene" Towards Dark Web Threat Intelligence with Software Quality Metrics. ICSME 2022: 439-443 - [c21]Gianmario Voria
Community Smell Detection and Refactoring in SLACK: The CADOCS Project. ICSME 2022: 469-473 - [c20]Giuseppe Cascavilla, Gemma Catolino, Mirella Sangiovanni:
Illicit Darkweb Classification via Natural-language Processing: Classifying Illicit Content of Webpages based on Textual Information. SECRYPT 2022: 620-626 - [c19]Giuseppe Cascavilla
Unsupervised Labor Intelligence Systems: A Detection Approach and Its Evaluation - A Case Study in the Netherlands. SummerSOC 2022: 79-98 - [c18]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 - [c17]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 - [e4]Gemma Catolino, Dario Di Nucci, Damian A. Tamburri:
Proceedings of the 20th Belgium-Netherlands Software Evolution Workshop, Virtual Event / 's-Hertogenbosch, The Netherlands, December 7-8, 2021. CEUR Workshop Proceedings 3071, CEUR-WS.org 2022 [contents] - [e3]Gregorio Robles, Amel Charleux, Igor Steinmacher, Javier Arroyo, Antonio Balderas, Gemma Catolino, Alexandre Decan, Francisco Martín Rico, Amit Kumar Verma:
OpenSym 2022: The 18th International Symposium on Open Collaboration, Madrid, Spain, September 7 - 9, 2022. ACM 2022, ISBN 978-1-4503-9845-9 [contents] - [i3]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) - 2021
- [c16]Gemma Catolino, Fabio Palomba, Damian A. Tamburri, Alexander Serebrenik:
Understanding Community Smells Variability: A Statistical Approach. ICSE-SEIS 2021: 77-86 - [c15]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 - [c14]Kunsong Zhao, Zhou Xu, Meng Yan
Just-in-time defect prediction for Android apps via imbalanced deep learning model. SAC 2021: 1447-1454 - [e2]Apostolos Ampatzoglou, Daniel Feitosa, Gemma Catolino, Valentina Lenarduzzi:
MaLTeSQuE@ESEC/SIGSOFT FSE 2021: Proceedings of the 5th International Workshop on Machine Learning Techniques for Software Quality Evolution, Athens, Greece, 23 August 2021. ACM 2021, ISBN 978-1-4503-8625-8 [contents] - 2020
- [j5]Gemma Catolino
Improving change prediction models with code smell-related information. Empir. Softw. Eng. 25(1): 49-95 (2020) - [j4]Gemma Catolino
Gender Diversity and Community Smells: Insights From the Trenches. IEEE Softw. 37(1): 10-16 (2020) - [c13]Gemma Catolino
Refactoring community smells in the wild: the practitioner's field manual. ICSE-SEIS 2020: 25-34 - [c12]Gemma Catolino
A blessing in disguise? Assessing the Relationship between Code Smells and Sustainability. ICSME 2020: 779-780 - [c11]Fabiano Pecorelli
Testing of Mobile Applications in the Wild: A Large-Scale Empirical Study on Android Apps. ICPC 2020: 296-307 - [e1]Foutse Khomh, Pasquale Salza, Gemma Catolino:
Proceedings of the 4th ACM SIGSOFT International Workshop on Machine Learning Techniques for Software Quality Evaluation, MaLTeSQuE@ESEC/SIGSOFT FSE 2020, Virtual Event, USA, November 13, 2020. ACM 2020, ISBN 978-1-4503-8124-6 [contents]
2010 – 2019
- 2019
- [j3]Gemma Catolino
Not all bugs are the same: Understanding, characterizing, and classifying bug types. J. Syst. Softw. 152: 165-181 (2019) - [j2]Gemma Catolino
An extensive evaluation of ensemble techniques for software change prediction. J. Softw. Evol. Process. 31(9) (2019) - [c10]Gemma Catolino, Fabio Palomba, Damian A. Tamburri:
The Secret Life of Software Communities: What we Know and What we Don't Know. BENEVOL 2019 - [c9]Gemma Catolino
Gender diversity and women in software teams: how do they affect community smells? ICSE-SEIS 2019: 11-20 - [c8]Gemma Catolino, Dario Di Nucci
Cross-project just-in-time bug prediction for mobile apps: an empirical assessment. MOBILESoft@ICSE 2019: 99-110 - [c7]Gemma Catolino
How the Experience of Development Teams Relates to Assertion Density of Test Classes. ICSME 2019: 223-234 - [i2]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) - [i1]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) - 2018
- [j1]Gemma Catolino
Enhancing change prediction models using developer-related factors. J. Syst. Softw. 143: 14-28 (2018) - [c6]Gemma Catolino
Does source code quality reflect the ratings of apps? MOBILESoft@ICSE 2018: 43-44 - [c5]Gemma Catolino
Effort-oriented methods and tools for software development and maintenance for mobile apps. ICSE (Companion Volume) 2018: 450-451 - [c4]Gemma Catolino
Ensemble techniques for software change prediction: A preliminary investigation. MaLTeSQuE 2018: 25-30 - 2017
- [c3]Gemma Catolino
A Set of Metrics for the Effort Estimation of Mobile Apps. MOBILESoft@ICSE 2017: 194-198 - [c2]Gemma Catolino
Just-In-Time Bug Prediction in Mobile Applications: The Domain Matters! MOBILESoft@ICSE 2017: 201-202 - [c1]Gemma Catolino
Developer-related factors in change prediction: an empirical assessment. ICPC 2017: 186-195
Coauthor Index
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last updated on 2024-10-23 20:27 CEST by the dblp team
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