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Formulation of the problem. In scientific research in sociology, education, physics, chemistry and other sciences, methods of correlation analysis are used. Correlation coefficients are used to determine the existence of...

In modern era of development health system conquer major issues linked with traditional way of calculating dose of patient. Advancement of pharmacokinetics based software ease calculation in clinical practice. A proper d...

Hundreds of thousands of companies all over the world use computers, with different software products and other useful applications. Nowadays, businesses need these modern tools. In the current digital economy, where ...

This paper introduces a novel hybrid machine learning model that combines Long Short-Term Memory (LSTM) networks and SHapley Additive exPlanations (SHAP) to enhance bug localization across multiple software platforms. Th...

Quality models for software architecture are taxonomies of quality attributes, commonly used to specify and evaluate nonfunctionalrequirements. Most quality models offer a two-level approach, distinguishing externally ob...

"This article reports the ongoing work on an environment for hardware-in-the-loop (HIL) and software-in-the-loop (SIL) tests of CubeSats and the benefits gained from using such an environment for low-cost satellite devel...

Abstract The software-defined radio has been allowing engineers the possibility of implementing operations on software that were previously only possible to be performed through hardware. With the continuous increase in ...

La sostenibilidad del software se basa en integrar prácticas sostenibles en su desarrollo. Una de sus dimensiones es la sostenibilidad humana, que considera el impacto en los equipos de desarrollo y usuarios. Cuando est...

El desarrollo de productos de software que consideren aspectos de ciberseguridad en el diseño sigue representando un reto considerablemente alto para los equipos encargados de su construcción. En la Ingeniería de Soft...

Advances in Artificial Intelligence (AI), particularly through Machine Learning (ML) and Deep Learning (DL), have enabled innovative solutions in industries including automotive, healthcare, and transportation. These tec...

"Various approaches to software analysis (e.g. test input generation, software model checking) require engineers to (manually) identify a subset of a module’s methods in order to drive the analysis. Given a module to b...

Software refactoring is a crucial practice in modern software development methodologies, such as Agile and DevOps, as it enables teams to iteratively improve and evolve their codebases while minimizing the risk of introd...

Generative Artificial Intelligence (Generative AI) models are now broadly used for academic writing and software development for the sake of productivity and efficiency. Concerns on the impact of Artificial Intelligence ...