Artificial Intelligence in Software Engineering - Couverture rigide

Couverture rigide

ISBN 10 : 3725877211 ISBN 13 : 9783725877218

Editeur : MDPI AG, 2026

Synopsis

The rapid advancement of Artificial Intelligence (AI) has profoundly reshaped software engineering (SE). As software systems grow in scale and complexity, traditional methods often struggle to meet demands for speed, adaptability, and reliability. This reprint explores how AI technologies-including machine learning (ML) and natural language processing (NLP)-are revolutionizing the entire SE lifecycle. This Reprint brings together high-quality research demonstrating how tailored AI methodologies reduce human error, improve efficiency, and drive continuous improvement across key development phases: 1. Requirements & Design: Utilizing NLP to analyze stakeholder inputs, and leveraging AI models to automate coding, generate optimized designs, and suggest architectural improvements. 2. Testing & Quality Assurance: Applying ML to detect anomalies, predict failure-prone components, generate robust test cases, and optimize resource allocation. 3. Deployment & Management: Using predictive analytics to foresee risks and accurately estimate timelines, alongside AI-driven CI/CD pipelines for adaptive, autonomous software delivery. 4. Autonomous Maintenance: Highlighting self-healing mechanisms and predictive analytics that minimize downtime and extend software longevity.

Featuring theoretical and experimental studies, novel frameworks, and comprehensive surveys, this issue bridges the gap between AI research and SE practice.

Détails de l'édition

• Éditeur: MDPI AG
• Date d'édition: 2026
• Langue: anglais
• ISBN 10: 3725877211
• ISBN 13: 9783725877218
• Reliure: Tapa dura
• Nombre de pages: 254
• Éditeur: Vickovic Linda, Braovic Maja
• Coordonnées du fabricant: non disponible
• Personne responsable: gpsr@libri.de; gpsr@libri.de; ; Friedensallee 273; Hamburg; 22763; Allemagne