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Roberto Verdecchia
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2020 – today
- 2025
- [j13]Álvaro Domingo Reguero
, Silverio Martínez-Fernández
Energy-efficient neural network training through runtime layer freezing, model quantization, and early stopping. Comput. Stand. Interfaces 92: 103906 (2025) - 2024
- [j12]Roberto Verdecchia
Network Digital Twins: A Systematic Review. IEEE Access 12: 145400-145416 (2024) - [j11]Leonardo Scommegna
Unveiling Faulty User Sequences: A Model-Based Approach to Test Three-Tier Software Architectures. J. Syst. Softw. 212: 112015 (2024) - [c31]Kevin Maggi
CLAIM: a Lightweight Approach to Identify Microservices in Dockerized Environments. EASE 2024: 357-362 - [c30]Nicolò Pollini
Learning Programming without Teachers: An Ongoing Ethnographic Study at 42. EASE 2024: 590-594 - [c29]Sofia Migliorini, Roberto Verdecchia, Ivano Malavolta
Architectural Views: The State of Practice in Open-Source Software Projects. ECSA 2024: 396-415 - [c28]Patricia Lago
Threats to Validity in Software Engineering - hypocritical paper section or essential analysis? ESEM 2024: 314-324 - [i7]Mohammed Alswaitti
Training Green AI Models Using Elite Samples. CoRR abs/2402.12010 (2024) - [i6]Tomaso Trinci, Simone Magistri, Roberto Verdecchia, Andrew D. Bagdanov:
How green is continual learning, really? Analyzing the energy consumption in continual training of vision foundation models. CoRR abs/2409.18664 (2024) - 2023
- [j10]Roberto Verdecchia
Threats to validity in software engineering research: A critical reflection. Inf. Softw. Technol. 164: 107329 (2023) - [j9]Roberto Verdecchia
Tales of Hybrid Teaching in Software Engineering: Lessons Learned and Guidelines. IEEE Trans. Educ. 66(3): 234-243 (2023) - [j8]Roberto Verdecchia
A systematic review of Green AI. WIREs Data. Mining. Knowl. Discov. 13(4) (2023) - [c27]Roberto Verdecchia
Technical Debt in Microservices: A Mixed-Method Case Study. ECSA (Tracks, Workshops and Doctoral Symposium) 2023: 217-236 - [c26]Roberto Verdecchia
Designing a Future-Proof Reference Architecture for Network Digital Twins. ECSA (Tracks, Workshops and Doctoral Symposium) 2023: 287-306 - [c25]Joshua Aldrich Edbert, Sahrima Jannat Oishwee, Shubhashis Karmakar, Zadia Codabux, Roberto Verdecchia:
Exploring Technical Debt in Security Questions on Stack Overflow. ESEM 2023: 1-12 - [c24]Markus Funke
Variability Features: Extending Sustainability Decision Maps via an Industrial Case Study. ICSA-C 2023: 1-7 - [i5]Roberto Verdecchia, June Sallou, Luis Cruz
A Systematic Review of Green AI. CoRR abs/2301.11047 (2023) - [i4]Joshua Aldrich Edbert, Sahrima Jannat Oishwee, Shubhashis Karmakar, Zadia Codabux, Roberto Verdecchia:
Exploring Technical Debt in Security Questions on Stack Overflow. CoRR abs/2307.11387 (2023) - 2022
- [j7]Steffen Herbold
A fine-grained data set and analysis of tangling in bug fixing commits. Empir. Softw. Eng. 27(6): 125 (2022) - [j6]Roberto Verdecchia
Empirical evaluation of an architectural technical debt index in the context of the Apache and ONAP ecosystems. PeerJ Comput. Sci. 8: e833 (2022) - [j5]Roberto Verdecchia
The future of sustainable digital infrastructures: A landscape of solutions, adoption factors, impediments, open problems, and scenarios. Sustain. Comput. Informatics Syst. 35: 100767 (2022) - [c23]Antonia Bertolino, Emilio Cruciani
Testing non-testable programs using association rules. AST@ICSE 2022: 87-91 - [c22]Nicholas Kozanidis, Roberto Verdecchia
Asking about Technical Debt: Characteristics and Automatic Identification of Technical Debt Questions on Stack Overflow. ESEM 2022: 45-56 - [c21]Roberto Verdecchia
Data-Centric Green AI An Exploratory Empirical Study. ICT4S 2022: 35-45 - [c20]Sophie Vos, Patricia Lago, Roberto Verdecchia
Architectural Tactics to Optimize Software for Energy Efficiency in the Public Cloud. ICT4S 2022: 77-87 - [c19]Leonhard Wattenbach, Basel Aslan, Matteo Maria Fiore, Henley Ding, Roberto Verdecchia
Do You Have the Energy for This Meeting?: An Empirical Study on the Energy Consumption of the Google Meet and Zoom Android apps. MOBILESoft 2022: 6-16 - [i3]Roberto Verdecchia, Luís Cruz, June Sallou, Michelle Lin, James Wickenden, Estelle Hotellier:
Data-Centric Green AI: An Exploratory Empirical Study. CoRR abs/2204.02766 (2022) - 2021
- [j4]Roberto Verdecchia
Know You Neighbor: Fast Static Prediction of Test Flakiness. IEEE Access 9: 76119-76134 (2021) - [j3]Marco Autili
Software engineering techniques for statically analyzing mobile apps: research trends, characteristics, and potential for industrial adoption. J. Internet Serv. Appl. 12(1): 3 (2021) - [j2]Roberto Verdecchia
Building and evaluating a theory of architectural technical debt in software-intensive systems. J. Syst. Softw. 176: 110925 (2021) - [j1]Roberto Verdecchia
Green IT and Green Software. IEEE Softw. 38(6): 7-15 (2021) - [c18]Sebastián Ospina, Roberto Verdecchia, Ivano Malavolta, Patricia Lago:
ATDx: A tool for Providing a Data-driven Overview of Architectural Technical Debt in Software-intensive Systems (short paper). ECSA (Companion) 2021 - [c17]Roberto Verdecchia, Philippe Kruchten, Patricia Lago, Ivano Malavolta:
Summary: Building and Evaluating a Theory of Architectural Technical Debt in Software-Intensive Systems (short paper). ECSA (Companion) 2021 - [c16]Justus Bogner
Characterizing Technical Debt and Antipatterns in AI-Based Systems: A Systematic Mapping Study. TechDebt@ICSE 2021: 64-73 - [i2]Justus Bogner, Roberto Verdecchia, Ilias Gerostathopoulos:
Characterizing Technical Debt and Antipatterns in AI-Based Systems: A Systematic Mapping Study. CoRR abs/2103.09783 (2021) - 2020
- [c15]Roberto Verdecchia
Architectural Technical Debt: A Grounded Theory. ECSA 2020: 202-219 - [c14]Roberto Verdecchia
ATDx: Building an Architectural Technical Debt Index. ENASE 2020: 531-539 - [c13]Federico Corò
JTeC: A Large Collection of Java Test Classes for Test Code Analysis and Processing. MSR 2020: 578-582 - [i1]Steffen Herbold, Alexander Trautsch, Benjamin Ledel, Alireza Aghamohammadi, Taher Ahmed Ghaleb, Kuljit Kaur Chahal, Tim Bossenmaier, Bhaveet Nagaria, Philip Makedonski, Matin Nili Ahmadabadi, Kristóf Szabados, Helge Spieker, Matej Madeja, Nathaniel Hoy, Valentina Lenarduzzi, Shangwen Wang, Gema Rodríguez-Pérez, Ricardo Colomo Palacios, Roberto Verdecchia, Paramvir Singh, Yihao Qin, Debasish Chakroborti, Willard Davis, Vijay Walunj, Hongjun Wu, Diego Marcilio, Omar Alam, Abdullah Aldaeej, Idan Amit, Burak Turhan, Simon Eismann, Anna-Katharina Wickert, Ivano Malavolta, Matús Sulír, Fatemeh H. Fard, Austin Z. Henley, Stratos Kourtzanidis, Eray Tuzun, Christoph Treude, Simin Maleki Shamasbi
Large-Scale Manual Validation of Bug Fixing Commits: A Fine-grained Analysis of Tangling. CoRR abs/2011.06244 (2020)
2010 – 2019
- 2019
- [c12]Patricia Lago, Jia F. Cai, Remco C. de Boer, Philippe Kruchten, Roberto Verdecchia:
DecidArch: Playing Cards as Software Architects. HICSS 2019: 1-10 - [c11]Roberto Verdecchia
Guidelines for Architecting Android Apps: A Mixed-Method Empirical Study. ICSA 2019: 141-150 - [c10]Remco C. de Boer
DecidArch V2: An Improved Game to Teach Architecture Design Decision Making. ICSA Companion 2019: 153-157 - [c9]Emilio Cruciani, Breno Miranda, Roberto Verdecchia
Scalable approaches for test suite reduction. ICSE 2019: 419-429 - [d6]Federico Corò
JTeC: A Large Collection of Java Test Classes forTest Code Analysis and Processing. Version 1.0. Zenodo, 2019 [all versions] - [d5]Federico Corò
MSR19-JTeC/JTeC: Initial JTeC release. Zenodo, 2019 - [d4]Federico Corò
JTeC: A Large Collection of Java Test Classes forTest Code Analysis and Processing. Version 2.0. Zenodo, 2019 [all versions] - [d3]Federico Corò
JTeC: A Large Collection of Java Test Classes forTest Code Analysis and Processing. Version 2.0. Zenodo, 2019 [all versions] - [d2]Emilio Cruciani
Scalable Approaches for Test Suite Reduction. Zenodo, 2019 - 2018
- [c8]Roberto Verdecchia
Architectural Technical Debt Identification: Moving Forward. ICSA Companion 2018: 43-44 - [c7]Roberto Verdecchia
Architectural technical debt identification: the research landscape. TechDebt@ICSE 2018: 11-20 - [c6]Roberto Verdecchia
Identifying architectural technical debt in Android applications through automated compliance checking. MOBILESoft@ICSE 2018: 35-36 - [c5]Breno Miranda
FAST approaches to scalable similarity-based test case prioritization. ICSE 2018: 222-232 - [c4]Ivano Malavolta
How Maintainability Issues of Android Apps Evolve. ICSME 2018: 334-344 - [c3]Roberto Verdecchia
Empirical Evaluation of the Energy Impact of Refactoring Code Smells. ICT4S 2018: 365-383 - [p1]Roberto Verdecchia, Achim Guldner, Yannick Becker, Eva Kern:
Code-Level Energy Hotspot Localization via Naive Spectrum Based Testing. Advances and New Trends in Environmental Informatics 2018: 111-130 - [d1]Breno Miranda
Supplementary material (source code and results) for "FAST Approaches to Scalable Similarity-based Test Case Prioritization". Zenodo, 2018 - 2017
- [c2]Roberto Verdecchia
Estimating Energy Impact of Software Releases and Deployment Strategies: The KPMG Case Study. ESEM 2017: 257-266 - 2016
- [c1]Roberto Verdecchia, Fabio Ricchiuti, Albert Hankel, Patricia Lago, Giuseppe Procaccianti:
Green ICT Research and Challenges. EnviroInfo (1) 2016: 37-48
Coauthor Index
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last updated on 2024-12-13 19:14 CET by the dblp team
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