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pro vyhledávání: '"CRUZ, LUIS"'
Energy consumption in software systems is becoming increasingly important, especially in large-scale deployments. However, debugging energy-related issues remains challenging due to the lack of specialized tools. This paper presents an energy debuggi
Externí odkaz:
http://arxiv.org/abs/2412.10063
The machine learning development lifecycle is characterized by iterative and exploratory processes that rely on feedback mechanisms to ensure data and model integrity. Despite the critical role of feedback in machine learning engineering, no prior re
Externí odkaz:
http://arxiv.org/abs/2408.00153
The latest advancements in machine learning, specifically in foundation models, are revolutionizing the frontiers of existing software engineering (SE) processes. This is a bi-directional phenomona, where 1) software systems are now challenged to pro
Externí odkaz:
http://arxiv.org/abs/2406.18142
Autor:
Cruz, Luis, Koshkin, Sergiy
The quadratrix received its name from the circle quadrature, squaring the circle, but it only solves it if completed by taking a limit, as pointed out already in antiquity. We ask if it can square the circle without limits and restrict its use accord
Externí odkaz:
http://arxiv.org/abs/2406.14032
Integrating Artificial Intelligence (AI) into software systems has significantly enhanced their capabilities while escalating energy demands. Ensemble learning, combining predictions from multiple models to form a single prediction, intensifies this
Externí odkaz:
http://arxiv.org/abs/2405.17451
Due to the continuous change in operational data, AIOps solutions suffer from performance degradation over time. Although periodic retraining is the state-of-the-art technique to preserve the failure prediction AIOps models' performance over time, th
Externí odkaz:
http://arxiv.org/abs/2401.14093
Autor:
Rani, Pooja, Zellweger, Jonas, Kousadianos, Veronika, Cruz, Luis, Kehrer, Timo, Bacchelli, Alberto
As the energy footprint generated by software is increasing at an alarming rate, understanding how to develop energy-efficient applications has become a necessity. Previous work has introduced catalogs of coding practices, also known as energy patter
Externí odkaz:
http://arxiv.org/abs/2401.06482
In the continually evolving realm of software engineering, the need to address software energy consumption has gained increasing prominence. However, the absence of a platform-independent tool that facilitates straightforward energy measurements rema
Externí odkaz:
http://arxiv.org/abs/2312.13897