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ORCIDFrancesca Arcelli Fontana
Francesca Arcelli
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- affiliation: University of Milano-Bicocca, Milan, Italy
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2020 – today
- 2024
[j40]Umberto Azadi, Bartosz Walter
, Francesca Arcelli Fontana:
Prioritisation of code clones using a genetic algorithm. Inf. Softw. Technol. 170: 107443 (2024)- [c112]Paolo Bacchiega, Davide Rusconi, Paolo Mereghetti, Francesca Arcelli Fontana:
Refactoring of a Microservices Project Driven by Architectural Smell Detection. ICSA-C 2024: 281-288 - [i10]Matteo Esposito, Mikel Robredo, Francesca Arcelli Fontana, Valentina Lenarduzzi:
On the correlation between Architectural Smells and Static Analysis Warnings. CoRR abs/2406.17354 (2024) - 2023
- [j39]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): 2873-2891 (2023) - [c111]Francesca Arcelli Fontana, Matteo Camilli, Davide Rendina, Andrei Gabriel Taraboi, Catia Trubiani:
Impact of Architectural Smells on Software Performance: an Exploratory Study. EASE 2023: 22-31 - [c110]Andrea Biaggi, Umberto Azadi, Francesca Arcelli Fontana:
A New Approach for Software Quality Assessment Based on Automated Code Anomalies Detection. ENASE 2023: 546-553 - [c109]Rafael Capilla, Francesca Arcelli Fontana, Tommi Mikkonen, Paolo Bacchiega, Victor Salamanca:
Detecting Architecture Debt in Micro-Service Open-Source Projects. SEAA 2023: 394-401 - [c108]Thomas Howard-Grubb, Jacopo Soldani, Giorgio Dell'Immagine, Francesca Arcelli Fontana, Antonio Brogi:
Smelling Homemade Crypto Code in Microservices, with KubeHound. ICSOC Workshops 2023: 317-324 - [c107]Jacopo Soldani, Davide Rendina, Francesca Arcelli Fontana, Antonio Brogi:
Kubernetes-Enabled Detection and Resolution of Architectural Smells for Microservices. SOSE 2023: 75-80 - [i9]Damian Andrew Tamburri, Francesca Arcelli Fontana, Riccardo Roveda, Valentina Lenarduzzi:
Architecture Smells vs. Concurrency Bugs: an Exploratory Study and Negative Results. CoRR abs/2303.17862 (2023) - 2022
- [j38]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) - [c106]Ilaria Pigazzini, Dario Di Nucci, Francesca Arcelli Fontana, Marco Belotti:
Exploiting dynamic analysis for architectural smell detection: a preliminary study. SEAA 2022: 282-289 - [c105]Paolo Bacchiega, Ilaria Pigazzini, Francesca Arcelli Fontana:
Microservices smell detection through dynamic analysis. SEAA 2022: 290-293 - [c104]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: 41-45 - 2021
- [j37]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: 110827 (2021) - [j36]Ilaria Pigazzini, Francesca Arcelli Fontana, Bartosz Walter:
A study on correlations between architectural smells and design patterns. J. Syst. Softw. 178: 110984 (2021) - [j35]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): 61-71 (2021) - [j34]Darius Sas, Ilaria Pigazzini, Paris Avgeriou, Francesca Arcelli Fontana:
The Perception of Architectural Smells in Industrial Practice. IEEE Softw. 38(6): 35-41 (2021) - [j33]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) - [c103]Irene Sala, Antonela Tommasel, Francesca Arcelli Fontana:
DebtHunter: A Machine Learning-based Approach for Detecting Self-Admitted Technical Debt. EASE 2021: 278-283 - [c102]Ilaria Pigazzini, Davide Foppiani, Francesca Arcelli Fontana:
Two Different Facets of Architectural Smells Criticality: An Empirical Study. ECSA (Companion) 2021 - [c101]Rafael Capilla, Tommi Mikkonen, Carlos Carrillo, Francesca Arcelli Fontana, Ilaria Pigazzini, Valentina Lenarduzzi:
Impact of Opportunistic Reuse Practices to Technical Debt. TechDebt@ICSE 2021: 16-25 - [c100]Francesca Arcelli Fontana, Ilaria Pigazzini:
Evaluating the Architectural Debt of IoT Projects. SERP4IoT 2021: 27-31 - [c99]Ilaria Pigazzini, Daniela Briola, Francesca Arcelli Fontana:
Architectural Technical Debt of Multi-Agent Systems Development Platforms. WOA 2021: 1-13 - [d3]Darius Sas, Paris Avgeriou, Ilaria Pigazzini, Francesca Arcelli Fontana:
Replication Package: On the relation between architectural smells and source code changes. Version 1.0. Zenodo, 2021 [all versions]
- [d2]Darius Sas, Paris Avgeriou, Ilaria Pigazzini, Francesca Arcelli Fontana:
Replication Package: On the relation between architectural smells and source code changes. Version 1.0. Zenodo, 2021 [all versions] - [i8]Darius Sas, Ilaria Pigazzini, Paris Avgeriou, Francesca Arcelli Fontana:
The perception of Architectural Smells in industrial practice. CoRR abs/2110.06750 (2021) - 2020
- [j32]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) - [j31]Francesca Arcelli Fontana, Hugo Bruneliere, 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) - [j30]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) - [j29]Claudia Raibulet, Francesca Arcelli Fontana, Simone Carettoni:
A preliminary analysis of self-adaptive systems according to different issues. Softw. Qual. J. 28(3): 1213-1243 (2020) - [c98]Claudia Raibulet, Francesca Arcelli Fontana, Simone Carettoni:
Internal Software Quality Evaluation of Self-adaptive Systems Using Metrics, Patterns, and Smells. ENASE (Selected Papers) 2020: 386-419 - [c97]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: 490-497 - [c96]Ilaria Pigazzini, Francesca Arcelli Fontana, Valentina Lenarduzzi, Davide Taibi:
Towards microservice smells detection. TechDebt@ICSE 2020: 92-97
2010 – 2019
- 2019
- [j28]Francesca Arcelli Fontana, Valentina Lenarduzzi, Riccardo Roveda, Davide Taibi:
Are architectural smells independent from code smells? An empirical study. J. Syst. Softw. 154: 139-156 (2019) - [j27]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) - [j26]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) - [c95]Francesca Arcelli Fontana, Ilaria Pigazzini, Claudia Raibulet, Stefano Basciano, Riccardo Roveda:
PageRank and criticality of architectural smells. ECSA (Companion) 2019: 197-204 - [c94]Ilaria Pigazzini, Francesca Arcelli Fontana, Andrea Maggioni:
Tool Support for the Migration to Microservice Architecture: An Industrial Case Study. ECSA 2019: 247-263 - [c93]Francesca Arcelli Fontana, Paris Avgeriou, Ilaria Pigazzini, Riccardo Roveda:
A Study on Architectural Smells Prediction. SEAA 2019: 333-337 - [c92]Claudia Raibulet, Francesca Arcelli Fontana, Ilaria Pigazzini:
Teaching Software Engineering Tools to Undergraduate Students. ICETC 2019: 262-267 - [c91]Umberto Azadi, Francesca Arcelli Fontana, Davide Taibi:
Architectural smells detected by tools: a catalogue proposal. TechDebt@ICSE 2019: 88-97 - [c90]Darius Sas, Paris Avgeriou, Francesca Arcelli Fontana:
Investigating Instability Architectural Smells Evolution: An Exploratory Case Study. ICSME 2019: 557-567 - [e4]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] - [d1]Darius Sas, Paris Avgeriou, Francesca Arcelli:
Investigating instability architectural smells evolution: an exploratory case study. Zenodo, 2019 - [i7]Francesca Arcelli Fontana, Valentina Lenarduzzi, Riccardo Roveda, Davide Taibi:
Are Architectural Smells Independent from Code Smells? An Empirical Study. CoRR abs/1904.11755 (2019) - [i6]Valentina Lenarduzzi, Terese Besker, Davide Taibi, Antonio Martini, Francesca Arcelli Fontana:
Technical Debt Prioritization: State of the Art. A Systematic Literature Review. CoRR abs/1904.12538 (2019) - [i5]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) - 2018
- [j25]Bartosz Walter, Francesca Arcelli Fontana, Vincenzo Ferme:
Code smells and their collocations: A large-scale experiment on open-source systems. J. Syst. Softw. 144: 1-21 (2018) - [j24]Claudia Raibulet, Francesca Arcelli Fontana:
Collaborative and teamwork software development in an undergraduate software engineering course. J. Syst. Softw. 144: 409-422 (2018) - [c89]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: 320-335 - [c88]Riccardo Roveda, Francesca Arcelli Fontana, Ilaria Pigazzini, Marco Zanoni:
Towards an Architectural Debt Index. SEAA 2018: 408-416 - [c87]Andrea Biaggi, Francesca Arcelli Fontana, Riccardo Roveda:
An Architectural Smells Detection Tool for C and C++ Projects. SEAA 2018: 417-420 - [c86]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 - [c85]Umberto Azadi, Francesca Arcelli Fontana, Marco Zanoni:
Machine learning based code smell detection through WekaNose. ICSE (Companion Volume) 2018: 288-289 - [c84]Luca Rizzi, Francesca Arcelli Fontana, Riccardo Roveda:
Support for architectural smell refactoring. IWoR@ASE 2018: 7-10 - [c83]Darius Sas, Marco Bessi, Francesca Arcelli Fontana:
[Research Paper] Automatic Detection of Sources and Sinks in Arbitrary Java Libraries. SCAM 2018: 103-112 - [e3]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
- [j23]Claudia Raibulet, Francesca Arcelli Fontana, Marco Zanoni:
Model-Driven Reverse Engineering Approaches: A Systematic Literature Review. IEEE Access 5: 14516-14542 (2017) - [j22]Francesca Arcelli Fontana, Claudia Raibulet, Marco Zanoni:
Alternatives to the Knowledge Discovery Metamodel: An Investigation. Int. J. Softw. Eng. Knowl. Eng. 27(7): 1097-1128 (2017) - [j21]Francesca Arcelli Fontana, Marco Zanoni:
Code smell severity classification using machine learning techniques. Knowl. Based Syst. 128: 43-58 (2017) - [j20]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): 18-21 (2017) - [c82]Irene Tollin, Francesca Arcelli Fontana, Marco Zanoni, Riccardo Roveda:
Change Prediction through Coding Rules Violations. EASE 2017: 61-64 - [c81]Claudia Raibulet, Francesca Arcelli Fontana:
Evaluation of self-adaptive systems: a women perspective. ECSA (Companion) 2017: 23-30 - [c80]Riccardo Roveda, Francesca Arcelli Fontana, Claudia Raibulet, Marco Zanoni, Federico Rampazzo:
Does the Migration to GitHub Relate to Internal Software Quality?. ENASE 2017: 293-300 - [c79]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: 282-285 - [c78]Francesca Arcelli Fontana, Claudia Raibulet:
Students' Feedback in Using GitHub in a Project Development for a Software Engineering Course. ITiCSE 2017: 380 - [c77]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: 1:1-1:3 - [e2]Francesca Arcelli Fontana, Bartosz Walter, Marco Zanoni:
2017 IEEE Workshop on Machine Learning Techniques for Software Quality Evaluation, MaLTeSQuE@SANER, Klagenfurt, Austria, February 21, 2017. IEEE Computer Society 2017, ISBN 978-1-5090-6597-4 [contents] - 2016
- [j19]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): 1143-1191 (2016) - [c76]Francesca Arcelli Fontana, Riccardo Roveda, Marco Zanoni:
Technical Debt Indexes Provided by Tools: A Preliminary Discussion. MTD@ICSME 2016: 28-31 - [c75]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: 244-255 - [c74]Francesca Arcelli Fontana, Ilaria Pigazzini, Riccardo Roveda, Marco Zanoni:
Automatic Detection of Instability Architectural Smells. ICSME 2016: 433-437 - [c73]Francesca Arcelli Fontana, Riccardo Roveda, Marco Zanoni:
Tool support for evaluating architectural debt of an existing system: an experience report. SAC 2016: 1347-1349 - [c72]Francesca Arcelli Fontana, Jens Dietrich, Bartosz Walter, Aiko Yamashita, Marco Zanoni:
Antipattern and Code Smell False Positives: Preliminary Conceptualization and Classification. SANER 2016: 609-613 - [c71]Francesca Arcelli Fontana, Riccardo Roveda, Marco Zanoni, Claudia Raibulet, Rafael Capilla:
An Experience Report on Detecting and Repairing Software Architecture Erosion. WICSA 2016: 21-30 - [c70]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: 21 - 2015
- [j18]Marco Zanoni, Francesca Arcelli Fontana, Fabio Stella:
On applying machine learning techniques for design pattern detection. J. Syst. Softw. 103: 102-117 (2015) - [c69]Francesca Arcelli Fontana, Vincenzo Ferme, Marco Zanoni:
Towards Assessing Software Architecture Quality by Exploiting Code Smell Relations. SAM@ICSE 2015: 1-7 - [c68]Francesca Arcelli Fontana, Pietro Braione, Riccardo Roveda, Marco Zanoni:
A Context-Aware Style of Software Design. CSD@ICSE 2015: 15-19 - [c67]Francesca Arcelli Fontana, Vincenzo Ferme, Marco Zanoni, Aiko Yamashita:
Automatic Metric Thresholds Derivation for Code Smell Detection. WETSoM@ICSE 2015: 44-53 - [c66]Francesca Arcelli Fontana, Vincenzo Ferme, Marco Zanoni:
Poster: Filtering Code Smells Detection Results. ICSE (2) 2015: 803-804 - [c65]Francesca Arcelli Fontana, Vincenzo Ferme, Marco Zanoni, Riccardo Roveda:
Towards a prioritization of code debt: A code smell Intensity Index. MTD@ICSME 2015: 16-24 - [c64]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: 121-130 - [c63]Francesca Arcelli Fontana, Marco Zanoni, Francesco Zanoni:
A Duplicated Code Refactoring Advisor. XP 2015: 3-14 - [c62]Francesca Arcelli Fontana, Marco Mangiacavalli, Domenico Pochiero, Marco Zanoni:
On experimenting refactoring tools to remove code smells. XP Workshops 2015: 7 - [c61]Bartosz Walter, Blazej Matuszyk, Francesca Arcelli Fontana:
Including structural factors into the metrics-based code smells detection. XP Workshops 2015: 11 - 2014
- [j17]Marco Rossetti, Remo Pareschi, Fabio Stella, Francesca Arcelli Fontana:
Integrating Concepts and Knowledge in Large Content Networks. New Gener. Comput. 32(3-4): 309-330 (2014) - [j16]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): 1172-1192 (2014) - [c60]Francesca Arcelli Fontana, Marco Zanoni:
Tracking line changes in source code repositories. ESEM 2014: 68:1 - [c59]Francesca Arcelli, Matteo Rolla, Marco Zanoni:
VCS-analyzer for software evolution empirical analysis. ESEM 2014: 70:1 - [c58]Francesca Arcelli Fontana, Riccardo Roveda, Marco Zanoni:
Discover Knowledge on FLOSS Projects Through RepoFinder. KDIR 2014: 485-491 - [c57]Francesca Arcelli Fontana, Matteo Rolla, Marco Zanoni:
Capturing Software Evolution and Change through Code Repository Smells. XP Workshops 2014: 148-165 - [i4]Francesca Arcelli Fontana, Riccardo Roveda, Marco Zanoni:
A System for the Discovery and Selection of FLOSS Projects. ERCIM News 2014(97) (2014) - [i3]Francesca Arcelli Fontana, Marco Zanoni, Francesco Zanoni:
A Refactoring Suggestion Tool for Removing Clones in Java Code. ERCIM News 2014(99) (2014) - 2013
- [j15]Francesca Arcelli Fontana, Stefano Maggioni, Claudia Raibulet:
Design patterns: a survey on their micro-structures. J. Softw. Evol. Process. 25(1): 27-52 (2013) - [c56]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: 260-269 - [c55]Francesca Arcelli Fontana, Marco Zanoni, Alessandro Marino, Mika Mäntylä:
Code Smell Detection: Towards a Machine Learning-Based Approach. ICSM 2013: 396-399 - 2012
- [j14]Francesca Arcelli Fontana, Pietro Braione, Marco Zanoni:
Automatic detection of bad smells in code: An experimental assessment. J. Object Technol. 11(2): 5: 1-38 (2012) - [c54]Francesca Arcelli Fontana, Andrea Caracciolo, Marco Zanoni:
DPB: A Benchmark for Design Pattern Detection Tools. CSMR 2012: 235-244 - [c53]Francesca Arcelli Fontana, Vincenzo Ferme, Stefano Spinelli:
Investigating the impact of code smells debt on quality code evaluation. MTD@ICSE 2012: 15-22 - [i2]Francesca Arcelli, Andrea Caracciolo, Marco Zanoni:
A Benchmark for Design Pattern Detection Tools: a Community Driven Approach. ERCIM News 2012(88) (2012) - [i1]Francesca Arcelli Fontana, Marco Zanoni, Bartosz Walter, Pawel Martenka:
Code Smells, Micro Patterns and their Relations. ERCIM News 2012(88) (2012) - 2011
- [j13]Francesca Arcelli Fontana, Marco Zanoni:
A tool for design pattern detection and software architecture reconstruction. Inf. Sci. 181(7): 1306-1324 (2011) - [j12]Francesca Arcelli Fontana, Marco Zanoni, Stefano Maggioni:
Using Design Pattern Clues to Improve the Precision of Design Pattern Detection Tools. J. Object Technol. 10: 4: 1-31 (2011) - [j11]Francesca Arcelli Fontana, Stefano Maggioni, Claudia Raibulet:
Understanding the relevance of micro-structures for design patterns detection. J. Syst. Softw. 84(12): 2334-2347 (2011) - [c52]Francesca Arcelli Fontana, Stefano Spinelli:
Impact of refactoring on quality code evaluation. WRT@ICSE 2011: 37-40 - [c51]Francesca Arcelli Fontana, Elia Mariani, Andrea Morniroli, Raul Sormani, Alberto Tonello:
An Experience Report on Using Code Smells Detection Tools. ICST Workshops 2011: 450-457 - [c50]Francesca Arcelli Fontana, Marco Zanoni:
On Investigating Code Smells Correlations. ICST Workshops 2011: 474-475 - [c49]Francesca Arcelli Fontana, Stefano Maggioni:
Metrics and Antipatterns for Software Quality Evaluation. SEW 2011: 48-56 - 2010
- [c48]Francesca Arcelli, Marco Zanoni, Riccardo Porrini, Mattia Vivanti:
A model proposal for program comprehension. DMS 2010: 23-28 - [c47]Francesca Arcelli Fontana, Ferrante Formato, Remo Pareschi:
Ontologies and Communities Co-evolution in Information Systems . KEOD 2010: 453-458 - [c46]Francesca Arcelli Fontana, Ferrante Formato, Remo Pareschi:
Information-Driven Collective Intelligences. ICCCI (2) 2010: 352-362 - [c45]Stefano Maggioni, Francesca Arcelli:
Metrics-based detection of micro patterns. WETSoM 2010: 39-46 - [c44]Francesca Arcelli, Davide Franzosi, Claudia Raibulet:
.NET Reverse Engineering with MARPLE. ICSEA 2010: 227-231 - [c43]Francesca Arcelli, Gianluigi Viscusi, Marco Zanoni:
Unifying Software and Data Reverse Engineering - A Pattern based Approach. ICSOFT (2) 2010: 208-213
2000 – 2009
- 2009
- [c42]Francesca Arcelli Fontana, Ferrante Formato, Remo Pareschi:
Boosting Concept Discovery in Collective Intelligences. Brain Informatics 2009: 214-224 - [c41]Francesca Arcelli Fontana, Fabrizio Perin, Claudia Raibulet, Stefano Ravani:
JADEPT: Dynamic Analysis for Behavioral Design Pattern Detection. ENASE 2009: 95-106