Image de couverture de livre

Mitigating Prompt-Induced Cognitive Biases in General-Purpose AI for Software Engineering

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Sovrano, Francesco, Dominici, Gabriele, Bacchelli, Alberto
Format:	Preprint
Publié:	2026
Sujets:	Software Engineering Artificial Intelligence
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Is General-Purpose AI Reasoning Sensitive to Data-Induced Cognitive Biases? Dynamic Benchmarking on Typical Software Engineering Dilemmas
par: Sovrano, Francesco, et autres
Publié: (2025)

An Empirical Study on Compliance with Ranking Transparency in the Software Documentation of EU Online Platforms
par: Sovrano, Francesco, et autres
Publié: (2023)

Illocutionary Explanation Planning for Source-Faithful Explanations in Retrieval-Augmented Language Models
par: Sovrano, Francesco, et autres
Publié: (2026)

Large Language Models for In-File Vulnerability Localization Can Be "Lost in the End"
par: Sovrano, Francesco, et autres
Publié: (2025)

Detecting Semantic Clones of Unseen Functionality
par: Kitsios, Konstantinos, et autres
Publié: (2025)

Unified Software Engineering Agent as AI Software Engineer
par: Applis, Leonhard, et autres
Publié: (2025)

When Prompt Engineering Meets Software Engineering: CNL-P as Natural and Robust "APIs'' for Human-AI Interaction
par: Xing, Zhenchang, et autres
Publié: (2025)

Software Reuse in the Generative AI Era: From Cargo Cult Towards AI Native Software Engineering
par: Mikkonen, Tommi, et autres
Publié: (2025)

Generative AI and Empirical Software Engineering: A Paradigm Shift
par: Treude, Christoph, et autres
Publié: (2025)

AI-Tutoring in Software Engineering Education
par: Frankford, Eduard, et autres
Publié: (2024)

Agentic AI Software Engineers: Programming with Trust
par: Roychoudhury, Abhik, et autres
Publié: (2025)

Taking a Pulse on How Generative AI is Reshaping the Software Engineering Research Landscape
par: Trinkenreich, Bianca, et autres
Publié: (2026)

Impact of Code Context and Prompting Strategies on Automated Unit Test Generation with Modern General-Purpose Large Language Models
par: Walczak, Jakub, et autres
Publié: (2025)

Reproducible, Explainable, and Effective Evaluations of Agentic AI for Software Engineering
par: Li, Jingyue, et autres
Publié: (2026)

Will AI replace Software Engineers? Do not hold your breath
par: Roychoudhury, Abhik, et autres
Publié: (2025)

Knowledge Lever Risk Management for Software Engineering: A Stochastic Framework for Mitigating Knowledge Loss
par: Chua, Mark, et autres
Publié: (2026)

The Future of Generative AI in Software Engineering: A Vision from Industry and Academia in the European GENIUS Project
par: Gröpler, Robin, et autres
Publié: (2025)

Artificial Intelligence as a Catalyst for Innovation in Software Engineering
par: Fernández-y-Fernández, Carlos Alberto, et autres
Publié: (2026)

From Code-Centric to Intent-Centric Software Engineering: A Reflexive Thematic Analysis of Generative AI, Agentic Systems, and Engineering Accountability
par: De La Cruz, Elyson
Publié: (2026)

Shift-Up: A Framework for Software Engineering Guardrails in AI-native Software Development -- Initial Findings
par: Lipsanen, Petrus, et autres
Publié: (2026)

"Don't Be Afraid, Just Learn": Insights from Industry Practitioners to Prepare Software Engineers in the Age of Generative AI
par: Otten, Daniel, et autres
Publié: (2026)

Investigating Detection and Obfuscation of Prompt Injection Attacks Against Software Reverse Engineering AI Agents
par: Crawford, Brian, et autres
Publié: (2026)

Future of Code with Generative AI: Transparency and Safety in the Era of AI Generated Software
par: Hanson, David
Publié: (2025)

AI Harness Engineering: A Runtime Substrate for Foundation-Model Software Agents
par: Zhong, Hailin, et autres
Publié: (2026)

Evidence-Driven Decision Support for AI Model Selection in Research Software Engineering
par: Joonbakhsh, Alireza, et autres
Publié: (2025)

A Gray Literature Study on Fairness Requirements in AI-enabled Software Engineering
par: Nguyen, Thanh, et autres
Publié: (2025)

Greening AI-enabled Systems with Software Engineering: A Research Agenda for Environmentally Sustainable AI Practices
par: Cruz, Luís, et autres
Publié: (2025)

LLMs: A Game-Changer for Software Engineers?
par: Haque, Md Asraful
Publié: (2024)

Software Performance Engineering for Foundation Model-Powered Software
par: Zhang, Haoxiang, et autres
Publié: (2024)

Prompt Less, Smile More: MTP with Semantic Engineering in Lieu of Prompt Engineering
par: Dantanarayana, Jayanaka L., et autres
Publié: (2025)

The Cognitive Circuit Breaker: A Systems Engineering Framework for Intrinsic AI Reliability
par: Pan, Jonathan
Publié: (2026)

Search-Based Software Engineering and AI Foundation Models: Current Landscape and Future Roadmap
par: Sartaj, Hassan, et autres
Publié: (2025)

Agentic AI for Software: thoughts from Software Engineering community
par: Roychoudhury, Abhik
Publié: (2025)

Can We Make Code Green? Understanding Trade-Offs in LLMs vs. Human Code Optimizations
par: Rani, Pooja, et autres
Publié: (2025)

Generative AI for Software Project Management: Insights from a Review of Software Practitioner Literature
par: Assalaarachchi, Lakshana Iruni, et autres
Publié: (2025)

TDD Governance for Multi-Agent Code Generation via Prompt Engineering
par: Hasanli, Tarlan, et autres
Publié: (2026)

What Software Engineering Looks Like to AI Agents? -- An Empirical Study of AI-Only Technical Discourse on MoltBook
par: Huo, Junyu, et autres
Publié: (2026)

Rethinking the Value of Agent-Generated Tests for LLM-Based Software Engineering Agents
par: Chen, Zhi, et autres
Publié: (2026)

Enhancing AI-based Generation of Software Exploits with Contextual Information
par: Liguori, Pietro, et autres
Publié: (2024)

Software Engineering Agents for Embodied Controller Generation : A Study in Minigrid Environments
par: Boulet, Timothé, et autres
Publié: (2025)