activity
20182026
most citedTowards Anticipation of Architectural Smells using Link Prediction Techniques

13 citations · 30 across the 7 of their papers we have counts for

collaborators

7 papers

cs.SE2026

A Surrogate-based Approach for Fast Multi-objective Architectural Refactoring Optimization

J. Andrés Diaz-Pace, Daniele Di Pompeo, Antonela Tommasel

Software model optimization is a process that generates architecture alternatives aimed at improving quantifiable non-functional properties of software systems, such as performance…

cs.SE2026

A Text Mining and Classification Approach for Analyzing Architecture Decision Records

Nicolás Miccio Palermo, Antonela Tommasel, J. Andrés Diaz-Pace

Architectural decision records (ADRs) have become a popular lightweight mechanism for documenting architectural knowledge in software projects. However, there is limited empirical…

cs.IR2023

Weighted Multi-Level Feature Factorization for App ads CTR and installation prediction

Juan Manuel Rodriguez, Antonela Tommasel

This paper provides an overview of the approach we used as team ISISTANITOS for the ACM RecSys Challenge 2023. The competition was organized by ShareChat, and involved predicting t…

cs.CY2021★ 10 cited

Capturing social media expressions during the COVID-19 pandemic in Argentina and forecasting mental health and emotions

Antonela Tommasel, Andres Diaz-Pace, Juan Manuel Rodriguez +1

Purpose. We present an approach for forecasting mental health conditions and emotions of a given population during the COVID-19 pandemic in Argentina based on language expressions…

cs.SI2020

Tracking the evolution of crisis processes and mental health on social media during the COVID-19 pandemic

Antonela Tommasel, Daniela Godoy, Juan Manuel Rodriguez

The COVID-19 pandemic has affected all aspects of society, not only bringing health hazards, but also posing challenges to public order, governments and mental health. Moreover, it…

cs.SE2018★ 13 cited

Towards Anticipation of Architectural Smells using Link Prediction Techniques

J. Andrés Díaz-Pace, Antonela Tommasel, Daniela Godoy

Software systems naturally evolve, and this evolution often brings design problems that cause system degradation. Architectural smells are typical symptoms of such problems, and se…

cs.SE2018★ 7 cited

Can Network Analysis Techniques help to Predict Design Dependencies? An Initial Study

J. Andrés Díaz-Pace, Antonela Tommasel, Daniela Godoy

The degree of dependencies among the modules of a software system is a key attribute to characterize its design structure and its ability to evolve over time. Several design proble…