Ponències/Comunicacions de congressos
Recent Submissions
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Hyppo: efficient discovery and execution of data science pipelines in collaborative environments
(OpenProceedings.org, 2025)
Conference report
Open AccessIn exploratory data science and machine learning (ML), developing an effective and efficient solution involves the exploration of numerous pipelines per dataset, considering various combinations of data preprocessing, ... -
Capturing analytical intents from text
(Springer, 2024)
Conference report
Restricted access - publisher's policyThe ability to extract valuable information from data is crucial for organizations and individuals who want to remain competitive in a constantly evolving data-driven environment. However, some of them lack the skills ... -
Knowledge graphs for enhancing large language models in entity disambiguation
(Springer, 2024)
Conference report
Restricted access - publisher's policyRecent advances in Large Language Models (LLMs) have positioned them as a prominent solution for Natural Language Processing tasks. Notably, they can approach these problems in a zero or few-shot manner, thereby eliminating ... -
Web API change-proneness prediction
(Institute of Electrical and Electronics Engineers (IEEE), 2024)
Conference report
Open AccessChange-proneness of software artifacts has been mainly related to the design characteristics and their previous history of changes. While these two aspects are essential and contribute significantly to the prediction, they ... -
Environmental sustainability of machine learning systems: reducing the carbon impact of their lifecycle process
(Springer, 2024)
Conference report
Restricted access - publisher's policySoftware-related carbon dioxide emissions from the information and communications technology sector currently account for up to 3.9% of global emissions. With the increasing use of Machine Learning (ML) systems, this ... -
Insights on the use of software design principles in machine learning pipelines
(Springer, 2024)
Conference report
Restricted access - publisher's policyThe rapid expansion of Artificial Intelligence has driven a surge in the development of Machine Learning (ML) pipelines, essential for constructing and maintaining ML models. Despite the growing recognition of the importance ... -
Stories vs. user stories: a terminological clarification
(Springer, 2024)
Conference lecture
Open AccessUser stories are the main vehicle to describe user needs in Agile projects and Agile project developments. But being this concept universally agreed, we may find that not all work increments have a clear user-centric view. ... -
LD@Taiga: an embedded learning dashboard for agile project management in student teams
(Springer, 2024)
Conference lecture
Open AccessWe present LD@Taiga, a learning dashboard seamlessly integrated into the Taiga agile project management tool. LD@Taiga provides visualizations of individual and team performance metrics, offering students valuable feedback ... -
Evolution of Kotlin apps in terms of energy consumption: an exploratory study
(Institute of Electrical and Electronics Engineers (IEEE), 2023)
Conference report
Open AccessContext. Java and Kotlin are the two main programming languages used to create Android applications. Kotlin almost completely replicates the capabilities offered by Java and offers extra features, making it a popular choice ... -
On the feasibility of cross-language detection of malicious packages in npm and PyPI
(Association for Computing Machinery (ACM), 2023)
Conference report
Restricted access - publisher's policyCurrent software supply chains heavily rely on open-source packages hosted in public repositories. Given the popularity of ecosystems like npm and PyPI, malicious users started to spread malware by publishing open-source ... -
The Hitchhiker's guide to malicious third-party dependencies
(Association for Computing Machinery (ACM), 2023)
Conference report
Restricted access - publisher's policyThe increasing popularity of certain programming languages has spurred the creation of ecosystem-specific package repositories and package managers. Such repositories (e.g., npm, PyPI) serve as public databases that users ... -
Using metrics for code smells of ML pipelines
(Institute of Electrical and Electronics Engineers (IEEE), 2024)
Conference report
Open AccessML pipelines, as key components of ML systems, shall be developed following quality assurance techniques. Unfortunately, it is often the case in which they present maintainability issues, due to the experimental nature of ...
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