Assessing the precision of FindBugs by mining Java projects developed at a university. - Antonio Vetrò; Marco Torchiano; Maurizio Morisio (MSR, 2010)

Linked data approach for selection process automation in systematic reviews. - Federico Tomassetti; Giuseppe Rizzo 002; Antonio Vetrò; Luca Ardito; Marco Torchiano; Maurizio Morisio (EASE, 2011)

An empirical validation of FindBugs issues related to defects. - Antonio Vetrò; Maurizio Morisio; Marco Torchiano (EASE, 2011)

Profiling Power Consumption on Desktop Computer Systems. - Giuseppe Procaccianti; Antonio Vetrò; Luca Ardito; Maurizio Morisio (ICT-GLOW, 2011)

Using the ISO/IEC 9126 product quality model to classify defects: A controlled experiment. - Antonio Vetrò; Nico Zazworka; Carolyn B. Seaman; Forrest Shull (EASE, 2012)

Language interaction and quality issues: an exploratory study. - Antonio Vetrò; Federico Tomassetti; Marco Torchiano; Maurizio Morisio (ESEM, 2012)

Organizing the technical debt landscape. - Clemente Izurieta; Antonio Vetrò; Nico Zazworka; Yuanfang Cai; Carolyn B. Seaman; Forrest Shull (MTD@ICSE, 2012)

Using technical debt data in decision making: potential decision approaches. - Carolyn B. Seaman; Yuepu Guo; Clemente Izurieta; Yuanfang Cai; Nico Zazworka; Forrest Shull; Antonio Vetrò (MTD@ICSE, 2012)

Using automatic static analysis to identify technical debt. - Antonio Vetrò (ICSE, 2012)

A Comparative Analysis of Software Reliability Growth Models using Defects Data of Closed and Open Source Software. - Najeeb Ullah; Maurizio Morisio; Antonio Vetrò (SEW, 2012)

Investigating Automatic Static Analysis Results to Identify Quality Problems: An Inductive Study. - Antonio Vetrò; Nico Zazworka; Forrest Shull; Carolyn B. Seaman; Michele A. Shaw (SEW, 2012)

A case study on effectively identifying technical debt. - Nico Zazworka; Rodrigo O. Spínola; Antonio Vetrò; Forrest Shull; Carolyn B. Seaman (EASE, 2013)

Classification of Language Interactions. - Federico Tomassetti; Marco Torchiano; Antonio Vetrò (ESEM, 2013)

Investigating technical debt folklore: shedding some light on technical debt opinion. - Rodrigo O. Spínola; Nico Zazworka; Antonio Vetrò; Carolyn B. Seaman; Forrest Shull (MTD@ICSE, 2013)

A model-based approach to language integration. - Federico Tomassetti; Antonio Vetrò; Marco Torchiano; Markus Voelter; Bernd Kolb (MiSE, 2013)

In quest for requirements engineering oracles: dependent variables and measurements for (good) RE. - Daniel Méndez Fernández; Jakob Mund; Henning Femmer; Antonio Vetrò (EASE, 2014)

Bridging the gap: SE technology transfer into practice: study design and preliminary results. - Philipp Diebold; Antonio Vetrò (ESEM, 2014)

On the impact of passive voice requirements on domain modelling. - Henning Femmer; Jan Kucera; Antonio Vetrò (ESEM, 2014)

Exploratory Testing as a Source of Technical Debt. - Syed Muhammad Ali Shah; Marco Torchiano; Antonio Vetrò; Maurizio Morisio (IT Prof., 2014)

Comparing four approaches for technical debt identification. - Nico Zazworka; Antonio Vetrò; Clemente Izurieta; Sunny Wong 001; Yuanfang Cai; Carolyn B. Seaman; Forrest Shull (Softw. Qual. J., 2014)

An Exploratory Study on Technology Transfer in Software Engineering. - Philipp Diebold; Antonio Vetrò; Daniel Méndez Fernández (ESEM, 2015)

In Quest for Proper Mediums for Technology Transfer in Software Engineering. - Florian Grigoleit; Antonio Vetrò; Philipp Diebold; Daniel Méndez Fernández; Wolfgang Böhm 002 (ESEM, 2015)

On the Benefits and Barriers When Adopting Software Modelling and Model Driven Techniques - An External, Differentiated Replication. - Antonio Vetrò; Wolfgang Böhm 002; Marco Torchiano (ESEM, 2015)

The Green Lab: Experimentation in Software Energy Efficiency. - Giuseppe Procaccianti; Patricia Lago; Antonio Vetrò; Daniel Méndez Fernández; Roel J. Wieringa (ICSE (2), 2015)

Fast Feedback Cycles in Empirical Software Engineering Research. - Antonio Vetrò; Saahil Ognawala; Daniel Méndez Fernández; Stefan Wagner 001 (ICSE (2), 2015)

Selecting the Best Reliability Model to Predict Residual Defects in Open Source Software. - Najeeb Ullah; Maurizio Morisio; Antonio Vetrò (Computer, 2015)

Understanding Green Software Development: A Conceptual Framework. - Luca Ardito; Giuseppe Procaccianti; Marco Torchiano; Antonio Vetrò (IT Prof., 2015)

Empirical Assessment of the Impact of using Automatic Static Analysis on Code Quality. - Antonio Vetrò (2015)

Technology Transfer Concepts. - Torsten Bandyszak; Philipp Diebold; André Heuer; Thomas Kuhn 001; Antonio Vetrò; Thorsten Weyer (Advanced Model-Based Engineering of Embedded Systems, 2016)

Blockchain for the Internet of Things: A systematic literature review. - Marco Conoscenti; Antonio Vetrò; Juan Carlos De Martin (AICCSA, 2016)

Open data quality measurement framework: Definition and application to Open Government Data. - Antonio Vetrò; Lorenzo Canova; Marco Torchiano; Camilo Orozco Minotas; Raimondo Iemma; Federico Morando (Gov. Inf. Q., 2016)

Comparing reuse practices in two large software-producing companies. - Veronika Bauer; Antonio Vetrò (J. Syst. Softw., 2016)

Preserving the Benefits of Open Government Data by Measuring and Improving Their Quality: An Empirical Study. - Marco Torchiano; Antonio Vetrò; Francesca Iuliano (COMPSAC (1), 2017)

Removing Barriers to Transparency: A Case Study on the Use of Semantic Technologies to Tackle Procurement Data Inconsistency. - Giuseppe Futia; Alessio Melandri; Antonio Vetrò; Federico Morando; Juan Carlos De Martin (ESWC (1), 2017)

Peer to peer for privacy and decentralization in the internet of things. - Marco Conoscenti; Antonio Vetrò; Juan Carlos De Martin (ICSE (Companion Volume), 2017)

Naming the pain in requirements engineering - Contemporary problems, causes, and effects in practice. - Daniel Méndez Fernández; Stefan Wagner 001; Marcos Kalinowski; Michael Felderer; Priscilla Mafra; Antonio Vetrò; Tayana Conte; Marie-Therese Christiansson; Des Greer; Casper Lassenius; Tomi Männistö; M. Nayabi; et al. (Empir. Softw. Eng., 2017)

Semantic enrichment for recommendation of primary studies in a systematic literature review. - Giuseppe Rizzo 002; Federico Tomassetti; Antonio Vetrò; Luca Ardito; Marco Torchiano; Maurizio Morisio; Raphaël Troncy (Digit. Scholarsh. Humanit., 2017)

Training Neural Language Models with SPARQL queries for Semi-Automatic Semantic Mapping. - Giuseppe Futia; Antonio Vetrò; Alessio Melandri; Juan Carlos De Martin (SEMANTiCS, 2018)

Ethical and Socially-Aware Data Labels. - Elena Beretta; Antonio Vetrò; Bruno Lepri; Juan Carlos De Martin (SIMBig, 2018)

CLoTH: a Simulator for HTLC Payment Networks. - Marco Conoscenti; Antonio Vetrò; Juan Carlos De Martin; Federico Spini; Fabio Castaldo; Sebastiano Scròfina (CoRR, 2018)

The CLoTH Simulator for HTLC Payment Networks with Introductory Lightning Network Performance Results. - Marco Conoscenti; Antonio Vetrò; Juan Carlos De Martin; Federico Spini (Inf., 2018)

The Invisible Power of Fairness. How Machine Learning Shapes Democracy. - Elena Beretta; Antonio Santangelo; Bruno Lepri; Antonio Vetrò; Juan Carlos De Martin (Canadian AI, 2019)

Hubs, Rebalancing and Service Providers in the Lightning Network. - Marco Conoscenti; Antonio Vetrò; Juan Carlos De Martin (IEEE Access, 2019)

Understanding automated and human-based technical debt identification approaches-a two-phase study. - Rodrigo O. Spínola; Nico Zazworka; Antonio Vetrò; Forrest Shull; Carolyn B. Seaman (J. Braz. Comput. Soc., 2019)

Combining data analytics and developers feedback for identifying reasons of inaccurate estimations in agile software development. - Marco Conoscenti; Veronika Besner; Antonio Vetrò; Daniel Méndez Fernández (J. Syst. Softw., 2019)

Status Quo in Requirements Engineering: A Theory and a Global Family of Surveys. - Stefan Wagner 001; Daniel Méndez Fernández; Michael Felderer; Antonio Vetrò; Marcos Kalinowski; Roel J. Wieringa; Dietmar Pfahl; Tayana Conte; Marie-Therese Christiansson; Desmond Greer; Casper Lassenius; Tomi Männistö; et al. (ACM Trans. Softw. Eng. Methodol., 2019)

Identifying Risks in Datasets for Automated Decision-Making. - Mariachiara Mecati; Flavio Emanuele Cannavò; Antonio Vetrò; Marco Torchiano (EGOV, 2020)

On the Integration of Knowledge Graphs into Deep Learning Models for a More Comprehensible AI - Three Challenges for Future Research. - Giuseppe Futia; Antonio Vetrò (Inf., 2020)

SeMi: A SEmantic Modeling machIne to build Knowledge Graphs with graph neural networks. - Giuseppe Futia; Antonio Vetrò; Juan Carlos De Martin (SoftwareX, 2020)

Integrating SQuARE with ISO 31000 risk management to measure and mitigate software bias. - Alessandro Simonetta; Antonio Vetrò; Maria Cristina Paoletti; Marco Torchiano (IWESQ@APSEC, 2021)

Equality of Opportunity in Ranking: A Fair-Distributive Model. - Elena Beretta; Antonio Vetrò; Bruno Lepri; Juan Carlos De Martin (BIAS, 2021)

Detecting Discrimination Risk in Automated Decision-Making Systems with Balance Measures on Input Data. - Mariachiara Mecati; Antonio Vetrò; Marco Torchiano (IEEE BigData, 2021)

Detecting discriminatory risk through data annotation based on Bayesian inferences. - Elena Beretta; Antonio Vetrò; Bruno Lepri; Juan Carlos De Martin (FAccT, 2021)

Metrics for Identifying Bias in Datasets. - Alessandro Simonetta; Andrea Trenta; Maria Cristina Paoletti; Antonio Vetrò (ICYRIME, 2021)

A data quality approach to the identification of discrimination risk in automated decision making systems. - Antonio Vetrò; Marco Torchiano; Mariachiara Mecati (Gov. Inf. Q., 2021)

The Geranium Platform: A KG-Based System for Academic Publications. - Giovanni Garifo; Giuseppe Futia; Antonio Vetrò; Juan Carlos De Martin (Inf., 2021)

CLoTH: A Lightning Network Simulator. - Marco Conoscenti; Antonio Vetrò; Juan Carlos De Martin (SoftwareX, 2021)

Identifying Imbalance Thresholds in Input Data to Achieve Desired Levels of Algorithmic Fairness. - Mariachiara Mecati; Andrea Adrignola; Antonio Vetrò; Marco Torchiano (IEEE Big Data, 2022)

Detecting Risk of Biased Output with Balance Measures. - Mariachiara Mecati; Antonio Vetrò; Marco Torchiano (ACM J. Data Inf. Qual., 2022)

Completeness of Datasets Documentation on ML/AI Repositories: An Empirical Investigation. - Marco Rondina; Antonio Vetrò; Juan Carlos De Martin (EPIA (1), 2023)

Facial Analysis Systems and Down Syndrome. - Marco Rondina; Fabiana Vinci; Antonio Vetrò; Juan Carlos De Martin (PKDD/ECML Workshops (1), 2023)

Measuring Imbalance on Intersectional Protected Attributes and on Target Variable to Forecast Unfair Classifications. - Mariachiara Mecati; Marco Torchiano; Antonio Vetrò; Juan Carlos De Martin (IEEE Access, 2023)

Teaching Scrum with a focus on efficiency and inclusiveness. - Marco Torchiano; Antonio Vetrò; Riccardo Coppola (EASE, 2024)

Personal Data Transfers to Non-EEA Domains: A Tool for Citizens and An Analysis on Italian Public Administration Websites. - Lorenzo Laudadio; Antonio Vetrò; Riccardo Coppola; Juan Carlos De Martin; Marco Torchiano (GoodIT, 2024)

Teaching Scrum with a focus on compliance assessment. - Marco Torchiano; Antonio Vetrò; Riccardo Coppola (CoRR, 2024)

The Impact of Team Diversity in Agile Development Education. - Marco Torchiano; Riccardo Coppola; Antonio Vetrò; Xhoi Musaj (SIGSOFT FSE Companion, 2025)

Testing software for non-discrimination: an updated and extended audit in the Italian car insurance domain. - Marco Rondina; Antonio Vetrò; Riccardo Coppola; Oumaima Regragrui; Alessandro Fabris; Gianmaria Silvello; Gian Antonio Susto; Juan Carlos De Martin (CoRR, 2025)

Experience: Bridging Data Measurement and Ethical Challenges with Extended Data Briefs. - Marco Rondina; Antonio Vetrò; Alessandro Fabris; Gianmaria Silvello; Gian Antonio Susto; Marco Torchiano; Juan Carlos De Martin (ACM J. Data Inf. Qual., 2025)

An Empirical Investigation of Gender Stereotype Representation in Large Language Models: The Italian Case. - Gioele Giachino; Marco Rondina; Antonio Vetrò; Riccardo Coppola; Juan Carlos De Martin (CoRR, 2025)