Browsing by Autor "Adriana Orellana"

Now showing 1 - 4 of 4

A Low-Cost Spectrometry Remote Laboratory
(Springer International Publishing, 2022) Alex Villazón; Omar Ormachea; Angel Zenteno; Adriana Orellana
Automatic Selection of Reference Lines for Spectrometer Calibration with Recurrent Neural Networks
(Springer Science+Business Media, 2023) Angel Zenteno; Adriana Orellana; Alex Villazón; Omar Ormachea
Characterizing Java Streams in the Wild
(2022) Eduardo Rosales; Andrea Rosà; Matteo Basso; Alex Villazón; Adriana Orellana; Angel Zenteno; Jhon Rivero; Walter Binder
Since Java 8, streams ease the development of data transformations using a declarative style based on functional programming. Some recent studies aim at shedding light on how streams are used. However, they consider only small sets of applications and mainly apply static analysis techniques, leaving the large-scale analysis of dynamic metrics focusing on stream processing an open research question. In this paper, we present the first large-scale empirical study on the use of streams in Java. We present a novel dynamic analysis for collecting runtime information and key metrics that enable the fine-grained characterization of sequential and parallel stream processing. We massively apply our dynamic analysis using a fully automated approach, supported by a distributed infrastructure to mine public software projects hosted on GitHub. Our findings advance the understanding of the use of streams, both confirming some of the results of previous studies at a much larger scale, as well as revealing previously unobserved findings in the use of streams.
Work in Progress: A Booking System for Remote Laboratories - The EXPLORE Energy Digital Academy (EEDA) Case Study
(Springer International Publishing, 2023) Alex Villazón; Omar Ormachea; Adriana Orellana; Angel Zenteno; Torsten Fransson