Copertina

AI-Driven Tools in Modern Software Quality Assurance: An Assessment of Benefits, Challenges, and Future Directions

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Pysmennyi, Ihor, Kyslyi, Roman, Kleshch, Kyrylo
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Software Engineering Artificial Intelligence
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Causal Reasoning in Software Quality Assurance: A Systematic Review
di: Giamattei, Luca, et al.
Pubblicazione: (2024)

The Rise of Agentic Testing: Multi-Agent Systems for Robust Software Quality Assurance
di: Naqvi, Saba, et al.
Pubblicazione: (2026)

Open-Source AI-based SE Tools: Opportunities and Challenges of Collaborative Software Learning
di: Lin, Zhihao, et al.
Pubblicazione: (2024)

EvolveTool-Bench: Evaluating the Quality of LLM-Generated Tool Libraries as Software Artifacts
di: Kaliyev, Alibek T., et al.
Pubblicazione: (2026)

Quality Assurance of LLM-generated Code: Addressing Non-Functional Quality Characteristics
di: Sun, Xin, et al.
Pubblicazione: (2025)

Benchmarking AI Models in Software Engineering: A Review, Search Tool, and Unified Approach for Elevating Benchmark Quality
di: Koohestani, Roham, et al.
Pubblicazione: (2025)

Application Modernization with LLMs: Addressing Core Challenges in Reliability, Security, and Quality
di: Ponnusamy, Ahilan Ayyachamy Nadar
Pubblicazione: (2025)

AI Assurance: A Comprehensive Testing Strategy for Enterprise AI Systems
di: Badagi, Chitra, et al.
Pubblicazione: (2026)

GBQA: A Game Benchmark for Evaluating LLMs as Quality Assurance Engineers
di: Jiang, Shufan, et al.
Pubblicazione: (2026)

On Unified Prompt Tuning for Request Quality Assurance in Public Code Review
di: Chen, Xinyu, et al.
Pubblicazione: (2024)

Generative AI for Software Architecture. Applications, Challenges, and Future Directions
di: Esposito, Matteo, et al.
Pubblicazione: (2025)

Orchestrating Human-AI Software Delivery: A Retrospective Longitudinal Field Study of Three Software Modernization Programs
di: Armesto, Maximiliano, et al.
Pubblicazione: (2026)

AI-Assisted Assessment of Coding Practices in Modern Code Review
di: Vijayvergiya, Manushree, et al.
Pubblicazione: (2024)

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

AI Code in the Wild: Measuring Security Risks and Ecosystem Shifts of AI-Generated Code in Modern Software
di: Wang, Bin, et al.
Pubblicazione: (2025)

Knowledge-Guided Prompt Learning for Request Quality Assurance in Public Code Review
di: Li, Lin, et al.
Pubblicazione: (2024)

AI-Driven Self-Evolving Software: A Promising Path Toward Software Automation
di: Cai, Liyi, et al.
Pubblicazione: (2025)

Past, Present and Future: Exploring Adaptive AI in Software Development Bots
di: Elsisi, Omar, et al.
Pubblicazione: (2025)

The Future of Software Testing: AI-Powered Test Case Generation and Validation
di: Baqar, Mohammad, et al.
Pubblicazione: (2024)

WALL: A Web Application for Automated Quality Assurance using Large Language Models
di: Abtahi, Seyed Moein, et al.
Pubblicazione: (2025)

Breaking Barriers in Software Testing: The Power of AI-Driven Automation
di: Naqvi, Saba, et al.
Pubblicazione: (2025)

How Mature is Requirements Engineering for AI-based Systems? A Systematic Mapping Study on Practices, Challenges, and Future Research Directions
di: Habiba, Umm-e-, et al.
Pubblicazione: (2024)

A Blueprint for AI-Driven Software Quality: Integrating LLMs with Established Standards
di: Patil, Avinash
Pubblicazione: (2025)

Automated Population-Level Audit Assurance via AI-Based Document Intelligence
di: Vasudevan, Santosh, et al.
Pubblicazione: (2026)

Rethinking Software Engineering in the Foundation Model Era: From Task-Driven AI Copilots to Goal-Driven AI Pair Programmers
di: Hassan, Ahmed E., et al.
Pubblicazione: (2024)

GenAI for Systems: Recurring Challenges and Design Principles from Software to Silicon
di: Tschand, Arya, et al.
Pubblicazione: (2026)

Search-Based Software Engineering and AI Foundation Models: Current Landscape and Future Roadmap
di: Sartaj, Hassan, et al.
Pubblicazione: (2025)

Evidence-Driven Decision Support for AI Model Selection in Research Software Engineering
di: Joonbakhsh, Alireza, et al.
Pubblicazione: (2025)

The Role of GitHub Copilot on Software Development: A Perspective on Productivity, Security, Best Practices and Future Directions
di: Nettur, Suresh Babu, et al.
Pubblicazione: (2025)

Skeet: Towards a Lightweight Serverless Framework Supporting Modern AI-Driven App Development
di: Fumitake, Kawasaki, et al.
Pubblicazione: (2024)

Position: Early-Stage Quality Assurance in Annotation Pipelines Is More Cost-Effective Than Late-Stage Validation
di: Kothari, Sunil, et al.
Pubblicazione: (2026)

Lessons Learned from the Use of Generative AI in Engineering and Quality Assurance of a WEB System for Healthcare
di: Travassos, Guilherme H., et al.
Pubblicazione: (2025)

The Future of Generative AI in Software Engineering: A Vision from Industry and Academia in the European GENIUS Project
di: Gröpler, Robin, et al.
Pubblicazione: (2025)

Data Quality Antipatterns for Software Analytics
di: Bhatia, Aaditya, et al.
Pubblicazione: (2024)

Open, Reliable, and Collective: A Community-Driven Framework for Tool-Using AI Agents
di: Dang, Hy, et al.
Pubblicazione: (2026)

Future of Artificial Intelligence in Agile Software Development
di: Mahboob, Mariyam, et al.
Pubblicazione: (2024)

Challenges and Paths Towards AI for Software Engineering
di: Gu, Alex, et al.
Pubblicazione: (2025)

A Tertiary Review of Large Language Model-Based Code Generating Tasks: Trends, Challenges, and Future Directions
di: Chochlov, Muslim, et al.
Pubblicazione: (2026)

Unified Software Engineering Agent as AI Software Engineer
di: Applis, Leonhard, et al.
Pubblicazione: (2025)

Towards AI-Native Software Engineering (SE 3.0): A Vision and a Challenge Roadmap
di: Hassan, Ahmed E., et al.
Pubblicazione: (2024)