Zobrazeno 1 - 10
of 32
pro vyhledávání: '"Eisty, Nasir U."'
When scaled to hundreds of billions of parameters, Large Language Models (LLMs) such as GPT-4 and LLaMA-405b have demonstrated remarkable capabilities in tasks such as code generation, code completion, and writing test cases. However, scaling up mode
Externí odkaz:
http://arxiv.org/abs/2411.10656
This study explores the intricate relationship between sentiment analysis (SA) and code quality within machine learning (ML) projects, illustrating how the emotional dynamics of developers affect the technical and functional attributes of software pr
Externí odkaz:
http://arxiv.org/abs/2409.17885
Mobile applications have become indispensable companions in our daily lives. Spanning over the categories from communication and entertainment to healthcare and finance, these applications have been influential in every aspect. Despite their omnipres
Externí odkaz:
http://arxiv.org/abs/2409.15473
The growing trend of vulnerability issues in software development as a result of a large dependence on open-source projects has received considerable attention recently. This paper investigates the effectiveness of Large Language Models (LLMs) in ide
Externí odkaz:
http://arxiv.org/abs/2409.10490
Accurate estimation of project costs and durations remains a pivotal challenge in software engineering, directly impacting budgeting and resource management. Traditional estimation techniques, although widely utilized, often fall short due to their c
Externí odkaz:
http://arxiv.org/abs/2409.09617
Autor:
Melin, Eric L., Eisty, Nasir U.
In software engineering, technical debt, signifying the compromise between short-term expediency and long-term maintainability, is being addressed by researchers through various machine learning approaches. This study seeks to provide a reflection on
Externí odkaz:
http://arxiv.org/abs/2409.04662
Ensemble methods are powerful machine learning algorithms that combine multiple models to enhance prediction capabilities and reduce generalization errors. However, their potential to generate effective test cases for fault detection in a System Unde
Externí odkaz:
http://arxiv.org/abs/2409.04651
Autor:
Curtis, J. Alexander, Eisty, Nasir U.
Kubernetes, the go-to container orchestration solution, has swiftly become the industry standard for managing containers at scale in production environments. Its widespread adoption, particularly in large organizations, has elevated its profile and m
Externí odkaz:
http://arxiv.org/abs/2409.04647
Context: Modern open-source operating systems consist of numerous independent packages crafted by countless developers worldwide. To effectively manage this diverse array of software originating from various entities, Linux distributions have devised
Externí odkaz:
http://arxiv.org/abs/2409.04588
Autor:
Panter, Shane K., Eisty, Nasir U.
Context: The integration of Rust into kernel development is a transformative endeavor aimed at enhancing system security and reliability by leveraging Rust's strong memory safety guarantees. Objective: We aim to find the current advances in using Rus
Externí odkaz:
http://arxiv.org/abs/2407.18431