Dr Vidoni is a newly joined academic (Lecturer, eq. to Assistant Professor) at the Australian National University in the CECS School of Computing, where she continues her domestic and international collaborations with Canada and Germany. Dr Vidoni’s main research interests are mining software repositories, technical debt, software development, and empirical software engineering when applied to data science and scientific software. Dr Vidoni is currently recruiting students. Please refer to Students Recruitment.
She graduated from Universidad Tecnologica Nacional (UTN) as an Information Systems Engineer. Years later, she received her PhD on the same institution, with the maximum qualification. She founded R-Ladies Santa Fe in 2018, and in 2019 moved to Australia to further her research career. Since 2018, she is also Associate Editor for rOpenSci, often acting as Editor in Chief.
Diploma on Business Analysis, 2018
Universidad Tecnologica Nacional, Regional Buenos Aires
Diploma on Business Intelligence, 2017
Universidad Tecnologica Nacional, Regional Buenos Aires
PhD in Information Systems Engineering, 2017
Universidad Tecnologica Nacional, Regional Santa Fe
BSc in Engineering, BSc in Information Systems Engineering, 2013
Universidad Tecnologica Nacional, Regional Santa Fe
Publications selected by personal preference and interest. You can browse the whole database.
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Current projects research projects I am part of. This does not include industry-academy collaborations.
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(2021-present) This project aims to investigate how MSR studies are conducted and reported.
(2020-present) The goal of this project is to investigate Software Engineering concepts applied to R programming and, in particular, to R packages.
(2018-2020) This project aims to apply Software Engineering concepts, techniques and methods to Operational Research interventions. The overall goal is to assist in the development of OR models and to provide means to enhance their code quality.
(2013-2017) My PhD Thesis project aimed to study Advanced Planning Systems (APS) from a Software Engineering (SE) point of view, aiming to bridge the current gap in research, providing sound concepts and definitions founded in current international SE standars.
(2012-2013) The goal was to develop software system prototype framework to easily integrate planning and scheduling mathematical optimization models for manufacturing processes, to Enterprise Systems. It the Thesis from my Information Systems Engineering degree.