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Hello, my name isand in December 2023 I got my Ph.D. in Computer Science under the supervision of Gabriele Bavota. I'm a Researcher in Machine Learning at the Università della Svizzera Italiana in Lugano. I'm part of the STAR research group led by Mauro Pezzè. My research aims at using Deep Learning Models to help developer write code.
Education and Professional Experience
Education
PhD in Computer Science
May 2020 - December 2023
Università della Svizzera Italiana, Lugano
During my PhD, I'm investigating the usage of Deep Learning models to automatically generate code.
Master in High Apprenticeship in Analytics and Business Intelligence
July 2015 - July 2017
Polytechnic of Milan, Milan
During these two years, I studied topics related to Big Data and Machine Learning. I released a tool using MondoDB and NodeJS able to suggest the choice of an order for a tender
Master Degree in Mathematical Engineering, Statistical Address
October 2012 - April 2015
Polytechnic of Milan, Milan
During these years, I studied statistics at 360 degrees, enriching my knowledge with Optimization, Data Analysis and Programming courses.
Bachelor's Degree in Mathematical Engineering
September 2009 - September 2012
Polytechnic of Milan, Milan
During my Bachelor's Degree, I studied Mathematical Analysis, Statistics, Computer Science, Physics and Probability.
Professional Experience
Researcher in Machine Learning
January 2024 - Present
Università della Svizzera Italiana, Lugano
I'm participating in Machine Learning projects, leading a team of Ph.D. student and overseeing their activities to ensure the successful and timely completion of the ongoing projects.
Data Scientist @ Machine Learning Center Of Excellence
March 2019 - April 2020
Accenture S.p.A., Milan
I realized different tools for Computer Vision released in portable services, using Flask with HTML and CSS. Creation of a NodeJS server that uses DialogFlow API to understand the intent of the sentences and allows the user to interact vocally with the washing machine. Creation of a chatbot deployed in different Docker containers.
.NET Developer
October 2017 - February 2019
Aglea S.r.L., Milan
Realization of internal tools in C# and study of authorization security in SAP. Production of a tool to manage activities in my company (purchasing, invoicing, ..) based on a SQL database.
Business Intelligence Consultant
January 2015 - September 2017
NextInt S.a.s., Milan
Use of RapidMiner and R to solve different optimization problems. Generation of dashboards with QlikView to help customers seeing their data in order to take business decisions.
Publications
Evaluating Code Summarization Techniques: A New Metric and an Empirical Characterization
A. Mastropaolo, M. Ciniselli, M. di Penta, G. Bavota
International Conference on Software Engineering (ICSE 2024)
Code Review Automation: Strengths and Weaknesses of the State of the Art
R. Tufano, O. Dabić, A. Mastropaolo, M. Ciniselli, G. Bavota
IEEE Transactions on Software Engineering (TSE 2024), 16 pages
On the robustness of code generation techniques: An empirical study on github copilot
A Mastropaolo, L Pascarella, E Guglielmi, M. Ciniselli, S Scalabrino, R Oliveto, G Bavota
International Conference on Software Engineering (ICSE 2023)
Source Code Recommender Systems: The Practitioners' Perspective
M. Ciniselli, L. Pascarella, E Aghajani, S Scalabrino, R Oliveto, G Bavota
International Conference on Software Engineering (ICSE 2023), to appear
To What Extent do Deep Learning-based Code Recommenders Generate Predictions by Cloning Code from the Training Set?
M. Ciniselli, L. Pascarella, G. Bavota
Mining Software Repositories (MSR 2022), 12 pages
An Empirical Study on the Usage of Transformer Models for Code Completion
M. Ciniselli, N. Cooper, L. Pascarella, A.Mastropaolo, E. Aghajani, D. Poshyvanyk, M. Di Penta, G. Bavota
IEEE Transactions on Software Engineering (TSE 2021), 20 pages
An Empirical Study on the Usage of BERT Models for Code Completion
M. Ciniselli, N. Cooper, L. Pascarella, D. Poshyvanyk, M. Di Penta, G. Bavota
Mining Software Repositories (MSR 2021), 12 pages