Dr Melina Vidoni

Software Manager @ eWater

Lecturer @ ANU CECC (on leave)

As a Software Development Lead at eWater Group, I manage the web and desktop software teams, ensuring the quality and reliability of our scientific software products. I have over 13+ years of experience in software engineering, having consulted across a wide range of companies to direct their agile transformation and product roadmap. Some of the companies include a variety of factories, start-ups, legacy modernisation opportunities, and video-game independent developers.

I graduated from Universidad Tecnologica Nacional (UTN) as an Information Systems Engineer. Years later, I received my PhD summa cum laude on the same institution. I am currently on leave from my position as Lecturer at the Australian National University in the CECS School of Computing, having worked at other universities and research institutes before. I have over a 11+ years of experience as an academic, with a particular focus on the quality, technical debt, and development process if scientific software. My main areas of research technical debt management in scientific software and software quality, collaborating with international partners in Canada and Germany.

I’m also an Editorial Board Member of Information and Software Technology (since 2022), and four times recognised as an ACM Distinguished Reviewer.

Dr Vidoni is not recruiting new students for 2023-2024.

Interests

Technical Debt
Scientific Software
Mining Software Repositories
Empirical Software Engineering

Education

Diploma in Business Analysis, 2018
Universidad Tecnologica Nacional, Regional Buenos Aires
Diploma in Business Intelligence, 2017
Universidad Tecnologica Nacional, Regional Buenos Aires
PhD, Software Engineering, 2017
Universidad Tecnologica Nacional, Regional Santa Fe
Engineer, 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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Melina Vidoni, Zadia Codabux (2023). Towards a Taxonomy of Roxygen Documentation in R Packages. in EMSE, vol. 28(106).

Dataset Project DOI

Ken Russel Go, Sruthi Soundarapandian, Aparupa Mitra, Melina Vidoni, Nicolás E. Díaz Ferreyra (2023). Simple Stupid Insecure Practices and GitHub's Code Search: A Looming Threat?. in JSS, vol. 202, paper 111698.

DOI

Iko-ojo Simon, Melina Vidoni, Fatemeh H. Fard (2023). Algorithm Debt: Challenges and Future Paths. in CAIN’23, pp.90-91.

PDF Project URL

Nicolás E. Díaz Ferreyra, Abdessamad Imine, Melina Vidoni, Riccardo Scandariato (2023). Developers Need Protection, Too: Perspectives and Research Challenges for Privacy in Social Coding Platforms. in CHASE’23, pp.105–110.

PDF Dataset DOI

Rishab Sharma, Ramin Shahbazi, Fatemeh H. Fard, Zadia Codabux, Melina Vidoni (2022). Self-Admitted Technical Debt in R: Detection and Causes. In Automated Software Engineering Journal, Vol 29(2).

PDF Project DOI

Melina Vidoni, Zadia Codabux, Fatemeh Fard (2022). Infinite Technical Debt. In Journal of Systems and Software, Vol 190.

DOI

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.
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Algorithm Debt in Scientific Software

(2023-present) To investigate algorithm debt in scientific programming, leveraging MSR-based studies and mixed-methods.

Empirical Mining Software Repositories Research

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

Software Engineering for Scientific Software

(2022-present) To investigate Software Engineering and technical debt across domains of scientific programming, leveraging MSR-based studies and mixed-methods.

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.