Modern Software Engineering with AI Essentials presents a rigorous and academically grounded exploration of contemporary software engineering, integrating established theoretical foundations with the emerging influence of Artificial Intelligence across the software lifecycle. Designed for undergraduate and postgraduate students, researchers, and professionals, the book offers a structured and systematic treatment of software engineering as both a technical discipline and a socio-technical practice. The text begins by establishing core principles of software engineering, including software processes, development lifecycles, professional practice, and the societal implications of software-intensive systems. It critically examines software failures, sustainability concerns, and the alignment of software engineering with global development objectives. Building on this foundation, the book introduces the dual paradigms of Software Engineering for AI and AI for Software Engineering, providing conceptual clarity on how AI systems are engineered and how AI techniques enhance traditional engineering activities.
Subsequent chapters deliver in-depth coverage of process models, Agile and AI-assisted methodologies, requirements engineering, system modeling, architectural design, object-oriented development, testing, evolution, reuse, and project management. Each topic is addressed with an emphasis on formal methods, best practices, economic considerations, and tool support, ensuring alignment with current academic curricula and industry standards. The final section extends the discussion to future directions in the field, including AI-augmented and autonomous software systems, explainable and trustworthy AI, cybersecurity-first engineering, sustainable software development, and software for digital governance. Selected contemporary case studies, such as Microsoft Teams and Apple App Tracking Transparency, are used to contextualize theoretical concepts within real-world industrial practice. Through its balanced integration of theory, practice, and emerging research trends, Modern Software Engineering with AI Essentials serves as a comprehensive academic resource that prepares readers to analyze, design, and manage complex, intelligent software systems in a rapidly evolving technological environment.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
Vendeur : California Books, Miami, FL, Etats-Unis
Etat : New. Print on Demand. N° de réf. du vendeur I-9798241532466
Quantité disponible : Plus de 20 disponibles
Vendeur : Grand Eagle Retail, Bensenville, IL, Etats-Unis
Paperback. Etat : new. Paperback. Modern Software Engineering with AI Essentials presents a rigorous and academically grounded exploration of contemporary software engineering, integrating established theoretical foundations with the emerging influence of Artificial Intelligence across the software lifecycle. Designed for undergraduate and postgraduate students, researchers, and professionals, the book offers a structured and systematic treatment of software engineering as both a technical discipline and a socio-technical practice. The text begins by establishing core principles of software engineering, including software processes, development lifecycles, professional practice, and the societal implications of software-intensive systems. It critically examines software failures, sustainability concerns, and the alignment of software engineering with global development objectives. Building on this foundation, the book introduces the dual paradigms of Software Engineering for AI and AI for Software Engineering, providing conceptual clarity on how AI systems are engineered and how AI techniques enhance traditional engineering activities. Subsequent chapters deliver in-depth coverage of process models, Agile and AI-assisted methodologies, requirements engineering, system modeling, architectural design, object-oriented development, testing, evolution, reuse, and project management. Each topic is addressed with an emphasis on formal methods, best practices, economic considerations, and tool support, ensuring alignment with current academic curricula and industry standards. The final section extends the discussion to future directions in the field, including AI-augmented and autonomous software systems, explainable and trustworthy AI, cybersecurity-first engineering, sustainable software development, and software for digital governance. Selected contemporary case studies, such as Microsoft Teams and Apple App Tracking Transparency, are used to contextualize theoretical concepts within real-world industrial practice. Through its balanced integration of theory, practice, and emerging research trends, Modern Software Engineering with AI Essentials serves as a comprehensive academic resource that prepares readers to analyze, design, and manage complex, intelligent software systems in a rapidly evolving technological environment. 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 9798241532466
Quantité disponible : 1 disponible(s)
Vendeur : PBShop.store UK, Fairford, GLOS, Royaume-Uni
PAP. Etat : New. New Book. Shipped from UK. Established seller since 2000. N° de réf. du vendeur L2-9798241532466
Quantité disponible : Plus de 20 disponibles
Vendeur : CitiRetail, Stevenage, Royaume-Uni
Paperback. Etat : new. Paperback. Modern Software Engineering with AI Essentials presents a rigorous and academically grounded exploration of contemporary software engineering, integrating established theoretical foundations with the emerging influence of Artificial Intelligence across the software lifecycle. Designed for undergraduate and postgraduate students, researchers, and professionals, the book offers a structured and systematic treatment of software engineering as both a technical discipline and a socio-technical practice. The text begins by establishing core principles of software engineering, including software processes, development lifecycles, professional practice, and the societal implications of software-intensive systems. It critically examines software failures, sustainability concerns, and the alignment of software engineering with global development objectives. Building on this foundation, the book introduces the dual paradigms of Software Engineering for AI and AI for Software Engineering, providing conceptual clarity on how AI systems are engineered and how AI techniques enhance traditional engineering activities. Subsequent chapters deliver in-depth coverage of process models, Agile and AI-assisted methodologies, requirements engineering, system modeling, architectural design, object-oriented development, testing, evolution, reuse, and project management. Each topic is addressed with an emphasis on formal methods, best practices, economic considerations, and tool support, ensuring alignment with current academic curricula and industry standards. The final section extends the discussion to future directions in the field, including AI-augmented and autonomous software systems, explainable and trustworthy AI, cybersecurity-first engineering, sustainable software development, and software for digital governance. Selected contemporary case studies, such as Microsoft Teams and Apple App Tracking Transparency, are used to contextualize theoretical concepts within real-world industrial practice. Through its balanced integration of theory, practice, and emerging research trends, Modern Software Engineering with AI Essentials serves as a comprehensive academic resource that prepares readers to analyze, design, and manage complex, intelligent software systems in a rapidly evolving technological environment. 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 9798241532466
Quantité disponible : 1 disponible(s)