9783725877218 - artificial intelligence in software engineering (9 risultati)
- Rilegato
Da: California Books, Miami, FL, U.S.A.California Books
Contatta il venditoreVenditore con 4 stelleCondizione: Nuovo
EUR 82,06
Spedizione gratuitaSpedito in U.S.A.Quantità: Più di 20 disponibili
Condizione: New.
- Rilegato
Da: Books Puddle, New York, NY, U.S.A.Books Puddle
Contatta il venditoreVenditore con 4 stelleCondizione: Nuovo
EUR 136,94
EUR 3,49 spedizioneSpedito in U.S.A.Quantità: 4 disponibili
Condizione: New.
- Rilegato
- Print on Demand
Da: Grand Eagle Retail, Bensenville, IL, U.S.A.Grand Eagle Retail
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 80,37
Spedizione gratuitaSpedito in U.S.A.Quantità: 1 disponibili
Hardcover. Condizione: 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-i…ncluding 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.
- Rilegato
- Print on Demand
Da: CitiRetail, Stevenage, Regno UnitoCitiRetail
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 85,74
EUR 43,39 spedizioneSpedito da Regno Unito a U.S.A.Quantità: 1 disponibili
Hardcover. Condizione: 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-i…ncluding 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.
- Rilegato
- Print on Demand
Da: AussieBookSeller, Truganina, VIC, AustraliaAussieBookSeller
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 100,30
EUR 32,39 spedizioneSpedito da Australia a U.S.A.Quantità: 1 disponibili
Hardcover. Condizione: 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-i…ncluding 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.
- Rilegato
- Print on Demand
Da: Majestic Books, Hounslow, Regno UnitoMajestic Books
Contatta il venditoreVenditore con 4 stelleCondizione: Nuovo
EUR 140,34
EUR 7,62 spedizioneSpedito da Regno Unito a U.S.A.Quantità: 4 disponibili
Condizione: New. Print on Demand.
- Rilegato
- Print on Demand
Da: Biblios, frankfurt am main, HESSE, GermaniaBiblios
Contatta il venditoreVenditore con 4 stelleCondizione: Nuovo
EUR 141,39
EUR 9,95 spedizioneSpedito da Germania a U.S.A.Quantità: 4 disponibili
Condizione: New. PRINT ON DEMAND.
- Rilegato
- Print on Demand
Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 103,50
EUR 64,18 spedizioneSpedito da Germania a U.S.A.Quantità: 2 disponibili
Buch. Condizione: 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 reliabil…ity. 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.
- Rilegato
- Print on Demand
Da: preigu, Osnabrück, Germaniapreigu
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 121,10
EUR 70,00 spedizioneSpedito da Germania a U.S.A.Quantità: 5 disponibili
Buch. Condizione: 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.
