Dr Melina Vidoni

Lecturer at ANU CESC

Associate Editor at rOpenSci

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.

Interests

Empirical Software Engineering
Technical Debt
Data Science
Scientific Software
Mining Software Repositories

Education

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

Selected Publications

Publications selected by personal preference and interest. You can browse the whole database.
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Pranav Chandramouli, Zadia Codabux, Melina Vidoni (2022). analyzeR: A SonarQube Plugin for Analyzing Object-Oriented R Packages. In SoftwareX, Vol 19C.

PDF Code Project Video DOI

Melina Vidoni, Zadia Codabux, Fatemeh Fard (2022). Infinite Technical Debt. In Journal of Systems and Software, Vol X.

DOI

Pranjay Kumar, Davin Ie, Melina Vidoni (2022). On the Developers' Attitude Towards CRAN Checks. in IEEE/ACM 30th International Conference on Program Comprehension (ICPC), 2022.

PDF Dataset Project DOI

Melina Vidoni (2022). Software Engineering for R Programming + Rejoinder. In The R Journal, pp600-23. Vol 13(2).

Project Issue Article Article PDF Rejoinder Rejoinder PDF

Melina Vidoni, Nicolas Diaz-Ferreyra (2022). Should I Get Involved? On the Privacy Perils of Mining Software Repositories for Research Participants. in Workshop on Recruiting Participants for Empirical Software Engineering (ROPES, Co-located with ICSE 2022).

PDF Project DOI Publication

Melina Vidoni (2022). Understanding Roxygen Package Documentation in R. In Journal of Systems and Software, Vol 188.

Project DOI

Melina Vidoni (2022). A Systematic Process for Mining Software Repositories: Results from a Systematic Literature Review. Information and Software Technology.

Project DOI

Melina Vidoni (2021). Evaluating Unit Testing Practices in R Packages. ICSE 2021.

PDF Dataset Project DOI

Melina Vidoni (2021). Self-Admitted Technical Debt in R Packages: An Exploratory Study. MSR 2021.

PDF Dataset Project DOI

Zadia Codabux, Melina Vidoni, Fatemeh Fard (2021). Technical Debt in the Peer-Review Documentation of R Packages: a rOpenSci Case Study. MSR 2021.

PDF Dataset Project DOI

Projects

Current projects research projects I am part of. This does not include industry-academy collaborations.
All Projects →

Empirical Mining Software Repositories Research

(2021-present) This project aims to investigate how MSR studies are conducted and reported.

Software Engineering in R Programming

(2020-present) The goal of this project is to investigate Software Engineering concepts applied to R programming and, in particular, to R packages.

Operational Research Driven By Software Engineering Principles

(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.

Analysis, Characterization, Design and Development of APS to Optimize Manufacturing Processes

(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.

Information System to Solve Industrial Planning and Scheduling Problems

(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.