Ph.D. student in software engineering. My research work is about software quality and maintenance, with a focus on the quality of Docker artifacts. I have also contributed to empirical studies on software bugs, software testing, and smart contracts maintenance.
Prototype of a mobile app to call nearby BSLD operators in case of heart-related emergencies.
Applied research project on the use of Artificial Intelligence for the monitoring of patients and early detection of health anomalies.
Prototype of a search engine for legal documents
Chatbot to answer COVID-19 related questions based on a knowledge base of scientific articles
My primary focus is to study the quality and maintenance of Docker artifacts. Secondary activities include supporting teaching activities and contributing to applied research projects involving practical applications of machine learning methods. More details can be found on my academic website (giovannirosa.com).
Empirical study to understand what are the best writing practices prioritized by experts in Dockerfiles.
Empirical study on bug-fixing commits using the SZZ algorithm. Presented at ICSE'21 (CORE ranking A*)
Empirical study on how developers perform code review in open-source projects.
An empirical study on the evaluation of SZZ implementations through developer-informed dataset extracted from open-source repositories through a semi-automatic approach involving NLP techniques.
An empirical study on the generation of Dockerfiles via deep learning using a structured natural language input specification evaluated in comparison of Information Retrieval (IR) based approaches.