Image de couverture de livre

The Systems Engineering Approach in Times of Large Language Models

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Cabrera, Christian, Bastidas, Viviana, Schooling, Jennifer, Lawrence, Neil D.
Format:	Preprint
Publié:	2024
Sujets:	Artificial Intelligence Computers and Society Software Engineering
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

RE-centric Recommendations for the Development of Trustworthy(er) Autonomous Systems
par: Ronanki, Krishna, et autres
Publié: (2023)

Self-sustaining Software Systems (S4): Towards Improved Interpretability and Adaptation
par: Cabrera, Christian, et autres
Publié: (2024)

GenAI Integration into Engineering Education: A Case Study of an Introductory Undergraduate Engineering Course
par: Kozan, Kadir, et autres
Publié: (2026)

Impact of AI-tooling on the Engineering Workspace
par: Chretien, Lena, et autres
Publié: (2024)

Invisible Load: Uncovering the Challenges of Neurodivergent Women in Software Engineering
par: Zaib, Munazza, et autres
Publié: (2025)

Comparing Code Explanations Created by Students and Large Language Models
par: Leinonen, Juho, et autres
Publié: (2023)

Safety Analysis in the Era of Large Language Models: A Case Study of STPA using ChatGPT
par: Qi, Yi, et autres
Publié: (2023)

An Approach to Detect Abnormal Submissions for CodeWorkout Dataset
par: Hicks, Alex, et autres
Publié: (2024)

Machine Learning Systems: A Survey from a Data-Oriented Perspective
par: Cabrera, Christian, et autres
Publié: (2023)

Enhancing Debugging Skills with AI-Powered Assistance: A Real-Time Tool for Debugging Support
par: Artser, Elizaveta, et autres
Publié: (2026)

Fuzzy Intelligent System for Student Software Project Evaluation
par: Ogorodova, Anna, et autres
Publié: (2024)

Design of a Quality Management System based on the EU Artificial Intelligence Act
par: Mustroph, Henryk, et autres
Publié: (2024)

Adaptive Trust Metrics for Multi-LLM Systems: Enhancing Reliability in Regulated Industries
par: Bollikonda, Tejaswini
Publié: (2026)

PRISM: A Design Framework for Open-Source Foundation Model Safety
par: Neumann, Terrence, et autres
Publié: (2024)

Bridging the Skills Gap: A Course Model for Modern Generative AI Education
par: Bardach, Anya, et autres
Publié: (2025)

Machine Learning Models for the Early Detection of Burnout in Software Engineering: a Systematic Literature Review
par: Tulili, Tien Rahayu, et autres
Publié: (2026)

Leveraging Large Language Models for Preliminary Security Risk Analysis: A Mission-Critical Case Study
par: Esposito, Matteo, et autres
Publié: (2024)

Using AI-Based Coding Assistants in Practice: State of Affairs, Perceptions, and Ways Forward
par: Sergeyuk, Agnia, et autres
Publié: (2024)

Rapid Mobile App Development for Generative AI Agents on MIT App Inventor
par: Gao, Jaida, et autres
Publié: (2024)

Benefits and Risks of Using ChatGPT4 as a Teaching Assistant for Computer Science Students
par: Aragonés-Soria, Yaiza, et autres
Publié: (2024)

Fairness Concerns in App Reviews: A Study on AI-based Mobile Apps
par: Nasab, Ali Rezaei, et autres
Publié: (2024)

Navigating Fairness: Practitioners' Understanding, Challenges, and Strategies in AI/ML Development
par: Pant, Aastha, et autres
Publié: (2024)

Logic Error Localization in Student Programming Assignments Using Pseudocode and Graph Neural Networks
par: Xu, Zhenyu, et autres
Publié: (2024)

Balancing Innovation and Ethics in AI-Driven Software Development
par: Baqar, Mohammad
Publié: (2024)

Scaling CS1 Support with Compiler-Integrated Conversational AI
par: Renzella, Jake, et autres
Publié: (2024)

Enhancing Educational Efficiency: Generative AI Chatbots and DevOps in Education 4.0
par: Mekić, Edis, et autres
Publié: (2024)

Code-Driven Law NO, Normware SI!
par: Sileno, Giovanni
Publié: (2024)

Can LLMs Identify Gaps and Misconceptions in Students' Code Explanations?
par: Oli, Priti, et autres
Publié: (2024)

An AIC-based approach for articulating unpredictable problems in open complex environments
par: AL-Shareefy, Haider, et autres
Publié: (2024)

Trustworthy AI in practice: an analysis of practitioners' needs and challenges
par: Baldassarre, Maria Teresa, et autres
Publié: (2024)

AI Act for the Working Programmer
par: Hermanns, Holger, et autres
Publié: (2024)

Why Companies "Democratise" Artificial Intelligence: The Case of Open Source Software Donations
par: Osborne, Cailean
Publié: (2024)

Characterising Open Source Co-opetition in Company-hosted Open Source Software Projects: The Cases of PyTorch, TensorFlow, and Transformers
par: Osborne, Cailean, et autres
Publié: (2024)

ParaStudent: Generating and Evaluating Realistic Student Code by Teaching LLMs to Struggle
par: Miroyan, Mihran, et autres
Publié: (2025)

$\texttt{Droid}$: A Resource Suite for AI-Generated Code Detection
par: Orel, Daniil, et autres
Publié: (2025)

SWE-chat: Coding Agent Interactions From Real Users in the Wild
par: Baumann, Joachim, et autres
Publié: (2026)

Understanding Student Interaction with AI-Powered Next-Step Hints: Strategies and Challenges
par: Birillo, Anastasiia, et autres
Publié: (2025)

Where AI Assurance Might Go Wrong: Initial lessons from engineering of critical systems
par: Bloomfield, Robin, et autres
Publié: (2025)

A Survey for What Developers Require in AI-powered Tools that Aid in Component Selection in CBSD
par: Ansari, Mahdi Jaberzadeh, et autres
Publié: (2025)

Automated Program Repair of Uncompilable Student Code
par: Pitts, Griffin, et autres
Publié: (2025)