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Predicting student drop-out rates using data mining techniques: A case study
(IEEE Colombian Conference on Applications in Computational Intelligence, 2018-12-14)
The prevention of students dropping out is considered very important in many educational institutions. In this paper we describe the results of an educational data analytics case study focused on detection of dropout of ...
On the relationship between technical debt management and process models
(IEEE Software, 2021-02-10)
—As technical debt (TD) potentially occurs as a result of poor decisions that affect
software development tasks, one might expect that practitioners following different process
models, such as agile, hybrid or traditional, ...
Enseñanza de arquitectura de software en modalidad blended learning: Análisis de la percepción de estudiantes de maestríaTeaching software architecture in blended learning model: Analysis of perception of master’s students
(RISTI - Revista Ibérica de Sistemas e Tecnologias de Informação, 2020-03)
La arquitectura de software, como componente clave de la educación
en ingeniería de software, requiere que el estudiante desarrolle un conjunto de
habilidades técnicas y sociales. En el curso de maestría Arquitecturas ...
Technical debt payment and prevention through the lenses of software architects
(Information and Software Technology, 2021-12)
Context:
Architectural decisions are considered one of the most common sources of technical debt (TD). Thus, it is necessary to understand how TD is perceived by software architects, particularly, the practices supporting ...