Cover Image

A Blueprint for AI-Driven Software Quality: Integrating LLMs with Established Standards

Fuente: arXiv

Saved in:

Bibliographic Details
Main Author:	Patil, Avinash
Format:	Preprint
Published:	2025
Subjects:	Software Engineering Artificial Intelligence Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

From LLMs to LLM-based Agents for Software Engineering: A Survey of Current, Challenges and Future
by: Jin, Haolin, et al.
Published: (2024)

LessLeak-Bench: A First Investigation of Data Leakage in LLMs Across 83 Software Engineering Benchmarks
by: Zhou, Xin, et al.
Published: (2025)

OpenHands: An Open Platform for AI Software Developers as Generalist Agents
by: Wang, Xingyao, et al.
Published: (2024)

Is Open Source the Future of AI? A Data-Driven Approach
by: Vake, Domen, et al.
Published: (2025)

SWE-AGI: Benchmarking Specification-Driven Software Construction with MoonBit in the Era of Autonomous Agents
by: Zhang, Zhirui, et al.
Published: (2026)

SWE-bench Multimodal: Do AI Systems Generalize to Visual Software Domains?
by: Yang, John, et al.
Published: (2024)

RepoGraph: Enhancing AI Software Engineering with Repository-level Code Graph
by: Ouyang, Siru, et al.
Published: (2024)

MOSS: Enabling Code-Driven Evolution and Context Management for AI Agents
by: Zhu, Ming, et al.
Published: (2024)

Every Software as an Agent: Blueprint and Case Study
by: Xu, Mengwei
Published: (2025)

OmniCode: A Benchmark for Evaluating Software Engineering Agents
by: Sonwane, Atharv, et al.
Published: (2026)

Blueprint First, Model Second: A Framework for Deterministic LLM Workflow
by: Qiu, Libin, et al.
Published: (2025)

Process-Centric Analysis of Agentic Software Systems
by: Liu, Shuyang, et al.
Published: (2025)

Multilingual Multimodal Software Developer for Code Generation
by: Chai, Linzheng, et al.
Published: (2025)

Agents in Software Engineering: Survey, Landscape, and Vision
by: Wang, Yanlin, et al.
Published: (2024)

A Taxonomy of Foundation Model based Systems through the Lens of Software Architecture
by: Lu, Qinghua, et al.
Published: (2023)

Unifying the Perspectives of NLP and Software Engineering: A Survey on Language Models for Code
by: Zhang, Ziyin, et al.
Published: (2023)

Introduction to Analytical Software Engineering Design Paradigm
by: Houichime, Tarik, et al.
Published: (2025)

SWE-smith: Scaling Data for Software Engineering Agents
by: Yang, John, et al.
Published: (2025)

Diversity Empowers Intelligence: Integrating Expertise of Software Engineering Agents
by: Zhang, Kexun, et al.
Published: (2024)

DevEval: Evaluating Code Generation in Practical Software Projects
by: Li, Jia, et al.
Published: (2024)

Synergizing LLMs and Knowledge Graphs: A Novel Approach to Software Repository-Related Question Answering
by: Abedu, Samuel, et al.
Published: (2024)

Process-Level Trajectory Evaluation for Environment Configuration in Software Engineering Agents
by: Kuang, Jiayi, et al.
Published: (2025)

SWE-MERA: A Dynamic Benchmark for Agenticly Evaluating Large Language Models on Software Engineering Tasks
by: Adamenko, Pavel, et al.
Published: (2025)

A Critical Study of What Code-LLMs (Do Not) Learn
by: Anand, Abhinav, et al.
Published: (2024)

SyncMind: Measuring Agent Out-of-Sync Recovery in Collaborative Software Engineering
by: Guo, Xuehang, et al.
Published: (2025)

Satori-SWE: Evolutionary Test-Time Scaling for Sample-Efficient Software Engineering
by: Zeng, Guangtao, et al.
Published: (2025)

ArchCode: Incorporating Software Requirements in Code Generation with Large Language Models
by: Han, Hojae, et al.
Published: (2024)

Search-Based LLMs for Code Optimization
by: Gao, Shuzheng, et al.
Published: (2024)

SWE-RL: Advancing LLM Reasoning via Reinforcement Learning on Open Software Evolution
by: Wei, Yuxiang, et al.
Published: (2025)

Transducer Tuning: Efficient Model Adaptation for Software Tasks Using Code Property Graphs
by: Yusuf, Imam Nur Bani, et al.
Published: (2024)

Code2Doc: A Quality-First Curated Dataset for Code Documentation
by: Karaman, Recep Kaan, et al.
Published: (2025)

E2Edev: Benchmarking Large Language Models in End-to-End Software Development Task
by: Liu, Jingyao, et al.
Published: (2025)

Software Mention Recognition with a Three-Stage Framework Based on BERTology Models at SOMD 2024
by: Thi, Thuy Nguyen, et al.
Published: (2024)

Conjecture and Inquiry: Quantifying Software Performance Requirements via Interactive Retrieval-Augmented Preference Elicitation
by: Wang, Shihai, et al.
Published: (2026)

R2Vul: Learning to Reason about Software Vulnerabilities with Reinforcement Learning and Structured Reasoning Distillation
by: Weyssow, Martin, et al.
Published: (2025)

Towards Specification-Driven LLM-Based Generation of Embedded Automotive Software
by: Patil, Minal Suresh, et al.
Published: (2024)

LLMs for Science: Usage for Code Generation and Data Analysis
by: Nejjar, Mohamed, et al.
Published: (2023)

Characterizing and Evaluating the Reliability of LLMs against Jailbreak Attacks
by: Chen, Kexin, et al.
Published: (2024)

GoNoGo: An Efficient LLM-based Multi-Agent System for Streamlining Automotive Software Release Decision-Making
by: Khoee, Arsham Gholamzadeh, et al.
Published: (2024)

Toward Reusability of AI Models Using Dynamic Updates of AI Documentation
by: Bajcsy, Peter, et al.
Published: (2026)