Francesca Arcelli Fontana

ORCID

Publication Activity (10 Years)

Years Active: 1993-2024
Publications (10 Years): 70

Top Venues

Publications

Matteo Esposito, Mikel Robredo, Francesca Arcelli Fontana, Valentina Lenarduzzi
On the correlation between Architectural Smells and Static Analysis Warnings. CoRR (2024)
Umberto Azadi, Bartosz Walter, Francesca Arcelli Fontana
Prioritisation of code clones using a genetic algorithm. Inf. Softw. Technol. 170 (2024)
Damian Andrew Tamburri, Francesca Arcelli Fontana, Riccardo Roveda, Valentina Lenarduzzi
Architecture Smells vs. Concurrency Bugs: an Exploratory Study and Negative Results. CoRR (2023)
Francesca Arcelli Fontana, Matteo Camilli, Davide Rendina, Andrei Gabriel Taraboi, Catia Trubiani
Impact of Architectural Smells on Software Performance: an Exploratory Study. EASE (2023)
Jacopo Soldani, Davide Rendina, Francesca Arcelli Fontana, Antonio Brogi
Kubernetes-Enabled Detection and Resolution of Architectural Smells for Microservices. SOSE (2023)
Andrea Biaggi, Umberto Azadi, Francesca Arcelli Fontana
A New Approach for Software Quality Assessment Based on Automated Code Anomalies Detection. ENASE (2023)
Thomas Howard-Grubb, Jacopo Soldani, Giorgio Dell'Immagine, Francesca Arcelli Fontana, Antonio Brogi
Smelling Homemade Crypto Code in Microservices, with KubeHound. ICSOC Workshops (2023)
Rafael Capilla, Francesca Arcelli Fontana, Tommi Mikkonen, Paolo Bacchiega, Victor Salamanca
Detecting Architecture Debt in Micro-Service Open-Source Projects. SEAA (2023)
Catia Trubiani, Riccardo Pinciroli, Andrea Biaggi, Francesca Arcelli Fontana
Automated Detection of Software Performance Antipatterns in Java-Based Applications. IEEE Trans. Software Eng. 49 (4) (2023)
Paolo Bacchiega, Ilaria Pigazzini, Francesca Arcelli Fontana
Microservices smell detection through dynamic analysis. SEAA (2022)
Ilaria Pigazzini, Dario Di Nucci, Francesca Arcelli Fontana, Marco Belotti
Exploiting dynamic analysis for architectural smell detection: a preliminary study. SEAA (2022)
Darius Sas, Paris Avgeriou, Ilaria Pigazzini, Francesca Arcelli Fontana
On the relation between architectural smells and source code changes. J. Softw. Evol. Process. 34 (1) (2022)
Amleto Di Salle, Alessandra Rota, Phuong T. Nguyen, Davide Di Ruscio, Francesca Arcelli Fontana, Irene Sala
PILOT: synergy between text processing and neural networks to detect self-admitted technical debt. TechDebt@ICSE (2022)
Rafael Capilla, Tommi Mikkonen, Carlos Carrillo, Francesca Arcelli Fontana, Ilaria Pigazzini, Valentina Lenarduzzi
Impact of Opportunistic Reuse Practices to Technical Debt. TechDebt@ICSE (2021)
Francesca Arcelli Fontana, Ilaria Pigazzini
Evaluating the Architectural Debt of IoT Projects. SERP4IoT (2021)
Darius Sas, Ilaria Pigazzini, Paris Avgeriou, Francesca Arcelli Fontana
The Perception of Architectural Smells in Industrial Practice. IEEE Softw. 38 (6) (2021)
Ilaria Pigazzini, Francesca Arcelli Fontana, Bartosz Walter
A study on correlations between architectural smells and design patterns. J. Syst. Softw. 178 (2021)
Paris Avgeriou, Davide Taibi, Apostolos Ampatzoglou, Francesca Arcelli Fontana, Terese Besker, Alexander Chatzigeorgiou, Valentina Lenarduzzi, Antonio Martini, Athanasia Moschou, Ilaria Pigazzini, Nyyti Saarimäki, Darius Sas, Saulo S. de Toledo, Angeliki-Agathi Tsintzira
An Overview and Comparison of Technical Debt Measurement Tools. IEEE Softw. 38 (3) (2021)
Ilaria Pigazzini, Daniela Briola, Francesca Arcelli Fontana
Architectural Technical Debt of Multi-Agent Systems Development Platforms. WOA (2021)
Darius Sas, Ilaria Pigazzini, Paris Avgeriou, Francesca Arcelli Fontana
The perception of Architectural Smells in industrial practice. CoRR (2021)
Ilaria Pigazzini, Davide Foppiani, Francesca Arcelli Fontana
Two Different Facets of Architectural Smells Criticality: An Empirical Study. ECSA (Companion) (2021)
Valentina Lenarduzzi, Terese Besker, Davide Taibi, Antonio Martini, Francesca Arcelli Fontana
A systematic literature review on Technical Debt prioritization: Strategies, processes, factors, and tools. J. Syst. Softw. 171 (2021)
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) (2021)
Irene Sala, Antonela Tommasel, Francesca Arcelli Fontana
DebtHunter: A Machine Learning-based Approach for Detecting Self-Admitted Technical Debt. EASE (2021)
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) (2020)
Claudia Raibulet, Francesca Arcelli Fontana, Simone Carettoni
SAS vs. NSAS: Analysis and Comparison of Self-Adaptive Systems and Non-Self-Adaptive Systems based on Smells and Patterns. ENASE (2020)
Ilaria Pigazzini, Francesca Arcelli Fontana, Valentina Lenarduzzi, Davide Taibi
Towards microservice smells detection. TechDebt@ICSE (2020)
Claudia Raibulet, Francesca Arcelli Fontana, Simone Carettoni
Internal Software Quality Evaluation of Self-adaptive Systems Using Metrics, Patterns, and Smells. ENASE (Selected Papers) (2020)
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) (2020)
Francesca Arcelli Fontana, Hugo Brunelière, Hausi A. Müller, Claudia Raibulet
Guest editors' introduction to the special issue on Model Driven Engineering and Reverse Engineering: Research and Practice. J. Syst. Softw. 159 (2020)
Claudia Raibulet, Francesca Arcelli Fontana, Simone Carettoni
A preliminary analysis of self-adaptive systems according to different issues. Softw. Qual. J. 28 (3) (2020)
Gemma Catolino, Fabio Palomba, Francesca Arcelli Fontana, Andrea De Lucia, Andy Zaidman, Filomena Ferrucci
Improving Change Prediction Models with Code Smell-Related Information. CoRR (2019)
Valentina Lenarduzzi, Terese Besker, Davide Taibi, Antonio Martini, Francesca Arcelli Fontana
Technical Debt Prioritization: State of the Art. A Systematic Literature Review. CoRR (2019)
Francesca Arcelli Fontana, Paris Avgeriou, Ilaria Pigazzini, Riccardo Roveda
A Study on Architectural Smells Prediction. SEAA (2019)
Francesca Arcelli Fontana, Ilaria Pigazzini, Claudia Raibulet, Stefano Basciano, Riccardo Roveda
PageRank and criticality of architectural smells. ECSA (Companion) (2019)
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)
Ilaria Pigazzini, Francesca Arcelli Fontana, Andrea Maggioni
Tool Support for the Migration to Microservice Architecture: An Industrial Case Study. ECSA (2019)
Francesca Arcelli Fontana, Valentina Lenarduzzi, Riccardo Roveda, Davide Taibi
Are architectural smells independent from code smells? An empirical study. J. Syst. Softw. 154 (2019)
Francesca Arcelli Fontana, Valentina Lenarduzzi, Riccardo Roveda, Davide Taibi
Are Architectural Smells Independent from Code Smells? An Empirical Study. CoRR (2019)
Darius Sas, Paris Avgeriou, Francesca Arcelli Fontana
Investigating Instability Architectural Smells Evolution: An Exploratory Case Study. ICSME (2019)
Claudia Raibulet, Francesca Arcelli Fontana, Ilaria Pigazzini
Teaching Software Engineering Tools to Undergraduate Students. ICETC (2019)
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) (2019)
Umberto Azadi, Francesca Arcelli Fontana, Davide Taibi
Architectural smells detected by tools: a catalogue proposal. TechDebt@ICSE (2019)
Bartosz Walter, Francesca Arcelli Fontana, Vincenzo Ferme
Code smells and their collocations: A large-scale experiment on open-source systems. J. Syst. Softw. 144 (2018)
Riccardo Roveda, Francesca Arcelli Fontana, Ilaria Pigazzini, Marco Zanoni
Towards an Architectural Debt Index. SEAA (2018)
Luca Rizzi, Francesca Arcelli Fontana, Riccardo Roveda
Support for architectural smell refactoring. IWoR@ASE (2018)
Andrea Biaggi, Francesca Arcelli Fontana, Riccardo Roveda
An Architectural Smells Detection Tool for C and C++ Projects. SEAA (2018)
Antonio Martini, Francesca Arcelli Fontana, Andrea Biaggi, Riccardo Roveda
Identifying and Prioritizing Architectural Debt Through Architectural Smells: A Case Study in a Large Software Company. ECSA (2018)
Claudia Raibulet, Francesca Arcelli Fontana
Collaborative and teamwork software development in an undergraduate software engineering course. J. Syst. Softw. 144 (2018)
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)
Darius Sas, Marco Bessi, Francesca Arcelli Fontana
[Research Paper] Automatic Detection of Sources and Sinks in Arbitrary Java Libraries. SCAM (2018)
Umberto Azadi, Francesca Arcelli Fontana, Marco Zanoni
Machine learning based code smell detection through WekaNose. ICSE (Companion Volume) (2018)
Francesca Arcelli Fontana, Ilaria Pigazzini, Riccardo Roveda, Damian A. Tamburri, Marco Zanoni, Elisabetta Di Nitto
Arcan: A Tool for Architectural Smells Detection. ICSA Workshops (2017)
Claudia Raibulet, Francesca Arcelli Fontana, Marco Zanoni
Model-Driven Reverse Engineering Approaches: A Systematic Literature Review. IEEE Access 5 (2017)
Riccardo Roveda, Francesca Arcelli Fontana, Claudia Raibulet, Marco Zanoni, Federico Rampazzo
Does the Migration to GitHub Relate to Internal Software Quality?. ENASE (2017)
Francesca Arcelli Fontana, Marco Zanoni
Code smell severity classification using machine learning techniques. Knowl. Based Syst. 128 (2017)
Francesca Arcelli Fontana, Claudia Raibulet
Students' Feedback in Using GitHub in a Project Development for a Software Engineering Course. ITiCSE (2017)
Irene Tollin, Francesca Arcelli Fontana, Marco Zanoni, Riccardo Roveda
Change Prediction through Coding Rules Violations. EASE (2017)
Francesca Arcelli Fontana, Alexander Chatzigeorgiou, Wolfgang Trumler, Clemente Izurieta, Paris Avgeriou, Robert L. Nord
Technical Debt in Agile Development: Report on the Ninth Workshop on Managing Technical Debt (MTD 2017). ACM SIGSOFT Softw. Eng. Notes 42 (3) (2017)
Francesca Arcelli Fontana, Claudia Raibulet, Marco Zanoni
Alternatives to the Knowledge Discovery Metamodel: An Investigation. Int. J. Softw. Eng. Knowl. Eng. 27 (7) (2017)
Claudia Raibulet, Francesca Arcelli Fontana
Evaluation of self-adaptive systems: a women perspective. ECSA (Companion) (2017)
Francesca Arcelli Fontana, Wolfgang Trumler, Clemente Izurieta, Robert L. Nord
Ninth International Workshop on Managing Technical Debt: report on the MTD 2017 workshop. XP Workshops (2017)
Francesca Arcelli Fontana, Riccardo Roveda, Marco Zanoni
Tool support for evaluating architectural debt of an existing system: an experience report. SAC (2016)
Francesca Arcelli Fontana, Ilaria Pigazzini, Riccardo Roveda, Marco Zanoni
Automatic Detection of Instability Architectural Smells. ICSME (2016)
Francesca Arcelli Fontana, Riccardo Roveda, Stefano Vittori, Andrea Metelli, Stefano Saldarini, Francesco Mazzei
On evaluating the impact of the refactoring of architectural problems on software quality. XP Workshops (2016)
Francesca Arcelli Fontana, Riccardo Roveda, Marco Zanoni
Technical Debt Indexes Provided by Tools: A Preliminary Discussion. MTD@ICSME (2016)
Francesca Arcelli Fontana, Mika V. Mäntylä, Marco Zanoni, Alessandro Marino
Comparing and experimenting machine learning techniques for code smell detection. Empir. Softw. Eng. 21 (3) (2016)
Francesca Arcelli Fontana, Jens Dietrich, Bartosz Walter, Aiko Yamashita, Marco Zanoni
Antipattern and Code Smell False Positives: Preliminary Conceptualization and Classification. SANER (2016)
Francesca Arcelli Fontana, Riccardo Roveda, Marco Zanoni, Claudia Raibulet, Rafael Capilla
An Experience Report on Detecting and Repairing Software Architecture Erosion. WICSA (2016)
Fabio Palomba, Marco Zanoni, Francesca Arcelli Fontana, Andrea De Lucia, Rocco Oliveto
Smells Like Teen Spirit: Improving Bug Prediction Performance Using the Intensity of Code Smells. ICSME (2016)
Francesca Arcelli Fontana, Pietro Braione, Riccardo Roveda, Marco Zanoni
A Context-Aware Style of Software Design. CSD@ICSE (2015)
Francesca Arcelli Fontana, Vincenzo Ferme, Marco Zanoni, Riccardo Roveda
Towards a prioritization of code debt: A code smell Intensity Index. MTD@ICSME (2015)
Bartosz Walter, Blazej Matuszyk, Francesca Arcelli Fontana
Including structural factors into the metrics-based code smells detection. XP Workshops (2015)
Aiko Yamashita, Marco Zanoni, Francesca Arcelli Fontana, Bartosz Walter
Inter-smell relations in industrial and open source systems: A replication and comparative analysis. ICSME (2015)
Francesca Arcelli Fontana, Marco Mangiacavalli, Domenico Pochiero, Marco Zanoni
On experimenting refactoring tools to remove code smells. XP Workshops (2015)
Marco Zanoni, Francesca Arcelli Fontana, Fabio Stella
On applying machine learning techniques for design pattern detection. J. Syst. Softw. 103 (2015)
Francesca Arcelli Fontana, Vincenzo Ferme, Marco Zanoni
Poster: Filtering Code Smells Detection Results. ICSE (2) (2015)
Francesca Arcelli Fontana, Vincenzo Ferme, Marco Zanoni
Towards Assessing Software Architecture Quality by Exploiting Code Smell Relations. SAM@ICSE (2015)
Francesca Arcelli Fontana, Marco Zanoni, Francesco Zanoni
A Duplicated Code Refactoring Advisor. XP (2015)
Francesca Arcelli Fontana, Vincenzo Ferme, Marco Zanoni, Aiko Yamashita
Automatic Metric Thresholds Derivation for Code Smell Detection. WETSoM@ICSE (2015)
Francesca Arcelli Fontana, Marco Zanoni, Francesco Zanoni
A Refactoring Suggestion Tool for Removing Clones in Java Code. ERCIM News 2014 (99) (2014)
Francesca Arcelli Fontana, Riccardo Roveda, Marco Zanoni
Discover Knowledge on FLOSS Projects Through RepoFinder. KDIR (2014)
Francesca Arcelli Fontana, Matteo Rolla, Marco Zanoni
Capturing Software Evolution and Change through Code Repository Smells. XP Workshops (2014)
Marco Rossetti, Remo Pareschi, Fabio Stella, Francesca Arcelli Fontana
Integrating Concepts and Knowledge in Large Content Networks. New Gener. Comput. 32 (3-4) (2014)
Marco Zanoni, Fabrizio Perin, Francesca Arcelli Fontana, Gianluigi Viscusi
Pattern detection for conceptual schema recovery in data-intensive systems. J. Softw. Evol. Process. 26 (12) (2014)
Francesca Arcelli Fontana, Marco Zanoni
Tracking line changes in source code repositories. ESEM (2014)
Francesca Arcelli Fontana, Riccardo Roveda, Marco Zanoni
A System for the Discovery and Selection of FLOSS Projects. ERCIM News 2014 (97) (2014)
Francesca Arcelli Fontana, Stefano Maggioni, Claudia Raibulet
Design patterns: a survey on their micro-structures. J. Softw. Evol. Process. 25 (1) (2013)
Francesca Arcelli Fontana, Vincenzo Ferme, Alessandro Marino, Bartosz Walter, Pawel Martenka
Investigating the Impact of Code Smells on System's Quality: An Empirical Study on Systems of Different Application Domains. ICSM (2013)
Francesca Arcelli Fontana, Marco Zanoni, Alessandro Marino, Mika Mäntylä
Code Smell Detection: Towards a Machine Learning-Based Approach. ICSM (2013)
Francesca Arcelli Fontana, Marco Zanoni, Bartosz Walter, Pawel Martenka
Code Smells, Micro Patterns and their Relations. ERCIM News 2012 (88) (2012)
Francesca Arcelli Fontana, Pietro Braione, Marco Zanoni
Automatic detection of bad smells in code: An experimental assessment. J. Object Technol. 11 (2) (2012)
Francesca Arcelli Fontana, Vincenzo Ferme, Stefano Spinelli
Investigating the impact of code smells debt on quality code evaluation. MTD@ICSE (2012)
Francesca Arcelli Fontana, Andrea Caracciolo, Marco Zanoni
DPB: A Benchmark for Design Pattern Detection Tools. CSMR (2012)
Francesca Arcelli Fontana, Marco Zanoni
On Investigating Code Smells Correlations. ICST Workshops (2011)
Francesca Arcelli Fontana, Stefano Maggioni
Metrics and Antipatterns for Software Quality Evaluation. SEW (2011)
Francesca Arcelli Fontana, Stefano Maggioni, Claudia Raibulet
Understanding the relevance of micro-structures for design patterns detection. J. Syst. Softw. 84 (12) (2011)
Francesca Arcelli Fontana, Elia Mariani, Andrea Morniroli, Raul Sormani, Alberto Tonello
An Experience Report on Using Code Smells Detection Tools. ICST Workshops (2011)
Francesca Arcelli Fontana, Stefano Spinelli
Impact of refactoring on quality code evaluation. WRT@ICSE (2011)
Francesca Arcelli Fontana, Marco Zanoni, Stefano Maggioni
Using Design Pattern Clues to Improve the Precision of Design Pattern Detection Tools. J. Object Technol. 10 (2011)

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Publication Activity (10 Years)

Top Topics

Top Venues

Francesca Arcelli Fontana