Arthur M. Langer

Gebundenes Buch

Analysis and Design of Next-Generation Software Architectures

Generative AI, Cybersecurity, and Cloud Computing

Beschreibung

The 2nd edition will add a major chapter on Generative AI in Software Architecture. This chapter will provide a comprehensive background in generative models, its impact on software design, evolution of new analysis methodologies, and the overall impact of the Systems Development Life Cycle (SDLC).

The new edition will also have new sections relating to Generative AI in Cybersecurity analysis and design, including proactive threat detection, ethical issues regarding privacy, and generative AI workflows (Charlotte AI). Other updates include Legacy System interfaces with Generative AI, new impacts on project management, and Platform design architecture.

The 2nd edition will have a number of editing changes and corrections, as well as about 30 pages net of some eliminations of outdated content.

Autor

Dr. Arthur M. Langer is the Director of the Center for Technology Management and Professor of Professional Practice at Columbia University, New York, NY, USA, where he also serves as the Academic Director of Technology Management Programs at the School of Professional Studies, and as a Professor of Practice at the Department of Organization and Leadership at the Graduate School of Education (Teachers College). Dr. Langer is also the Chairman and Founder of Workforce Opportunity Services (WOS), a non-profit NGO dedicated to assisting socially excluded youth and veterans with their education and professional careers. His other publications include the Springer titles Guide to Software Development, Analysis and Design of Information Systems, and The Art of Analysis.

Produktdetails

• Verlag: Springer / Springer Nature Switzerland / Springer, Berlin
• Artikelnr. des Verlages: 978-3-031-76211-6
• 2. Aufl.
• Seitenzahl: 344
• Erscheinungstermin: 16. Mai 2025
• Englisch
• Abmessung: 241mm x 160mm x 23mm
• Gewicht: 742g
• ISBN-13: 9783031762116
• ISBN-10: 3031762118
• Artikelnr.: 71759688