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.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
Résultats de recherche pour Artificial Intelligence in Software Engineering
Image d'archives
Artificial Intelligence in Software Engineering (Hardcover)
impression à la demandeVendeur : Grand Eagle Retail, Bensenville, IL, Etats-Unis
Évaluation du vendeur 5 sur 5 étoiles
Hardcover. Etat : new. Hardcover. 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. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9783725877218
Acheter neuf
EUR 80,51
Livraison gratuite
Expédition nationale : Etats-Unis
Expédition nationale : Etats-Unis
Quantité disponible : 1 disponible(s)
Image d'archives
Artificial Intelligence in Software Engineering
Vendeur : California Books, Miami, FL, Etats-Unis
Évaluation du vendeur 4 sur 5 étoiles
Etat : New. N° de réf. du vendeur I-9783725877218
Acheter neuf
EUR 82,21
Livraison gratuite
Expédition nationale : Etats-Unis
Expédition nationale : Etats-Unis
Quantité disponible : Plus de 20 disponibles
Image d'archives
Artificial Intelligence in Software Engineering (Hardcover)
impression à la demandeVendeur : CitiRetail, Stevenage, Royaume-Uni
Évaluation du vendeur 5 sur 5 étoiles
Hardcover. Etat : new. Hardcover. 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. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. N° de réf. du vendeur 9783725877218
Acheter neuf
EUR 85,59
Expédition à EUR 43,31
Expédition depuis Royaume-Uni vers Etats-Unis
Expédition depuis Royaume-Uni vers Etats-Unis
Quantité disponible : 1 disponible(s)
Image d'archives
Artificial Intelligence in Software Engineering (Hardcover)
impression à la demandeVendeur : AussieBookSeller, Truganina, VIC, Australie
Évaluation du vendeur 5 sur 5 étoiles
Hardcover. Etat : new. Hardcover. 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. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. N° de réf. du vendeur 9783725877218
Acheter neuf
EUR 100,27
Expédition à EUR 32,45
Expédition depuis Australie vers Etats-Unis
Expédition depuis Australie vers Etats-Unis
Quantité disponible : 1 disponible(s)
Image d'archives
Artificial Intelligence in Software Engineering
Vendeur : Books Puddle, New York, NY, Etats-Unis
Évaluation du vendeur 4 sur 5 étoiles
Etat : New. N° de réf. du vendeur 26406686787
Acheter neuf
EUR 137,19
Expédition à EUR 3,50
Expédition nationale : Etats-Unis
Expédition nationale : Etats-Unis
Quantité disponible : 4 disponible(s)
Image d'archives
Artificial Intelligence in Software Engineering
impression à la demandeVendeur : Majestic Books, Hounslow, Royaume-Uni
Évaluation du vendeur 4 sur 5 étoiles
Etat : New. Print on Demand. N° de réf. du vendeur 407516060
Acheter neuf
EUR 140,59
Expédition à EUR 7,61
Expédition depuis Royaume-Uni vers Etats-Unis
Expédition depuis Royaume-Uni vers Etats-Unis
Quantité disponible : 4 disponible(s)
Image d'archives
Artificial Intelligence in Software Engineering
impression à la demandeVendeur : Biblios, Frankfurt am main, HESSE, Allemagne
Évaluation du vendeur 4 sur 5 étoiles
Etat : New. PRINT ON DEMAND. N° de réf. du vendeur 18406686793
Acheter neuf
EUR 141,39
Expédition à EUR 9,95
Expédition depuis Allemagne vers Etats-Unis
Expédition depuis Allemagne vers Etats-Unis
Quantité disponible : 4 disponible(s)
Image fournie par le vendeur
Artificial Intelligence in Software Engineering
impression à la demandeVendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Buch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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. N° de réf. du vendeur 9783725877218
Acheter neuf
EUR 103,50
Expédition à EUR 64,18
Expédition depuis Allemagne vers Etats-Unis
Expédition depuis Allemagne vers Etats-Unis
Quantité disponible : 2 disponible(s)
Image fournie par le vendeur
Artificial Intelligence in Software Engineering
impression à la demandeVendeur : preigu, Osnabrück, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Buch. Etat : Neu. Artificial Intelligence in Software Engineering | Buch | Englisch | 2026 | MDPI AG | EAN 9783725877218 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand. N° de réf. du vendeur 135468242
Acheter neuf
EUR 121,10
Expédition à EUR 70
Expédition depuis Allemagne vers Etats-Unis
Expédition depuis Allemagne vers Etats-Unis
Quantité disponible : 5 disponible(s)