Advances in Software Startups

Generative AI, Product Engineering and Business Development
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1. Advances in Software Startups: Engineering, Business, and Beyond – Overview.- Part 1: GenAI for Startups.- 2. Generative AI for Startups: A Systematic Mapping Study.- 3. The Promise of Generative AI for Software Startups – Potential Benefits and Use Cases.- 4. From Idea to Code: The Evolution of Prototyping in AI-Driven Startups.- 5. Patterns for Startup Pitch Video Creation with Generative AI Support.- 6. daBML – An Extension on the "Build Measure Learn" Loop for Generative AI Process Adoption.- Part 2: Product Engineering.- 7. Hypothesis Engineering in Software Startups: From Business to Architecture.- 8. Experimentation Practices in Indie Game Startups.- 9. Getting Started with Product Management in Software Startups.- 10. How Does Product Feature PrioritizationWork at Software Startups?.- 11. AI-Powered Toolchain Framework for Agile Software Development in Startups.- 12. Do Agile Practices Inhibit Innovation?.- Part 3: Business Development and Growth.- 13. Designing a SaaS Pricing Strategy Canvas: Guiding Startups Towards Structured Decision-Making.- 14. From Classrooms to Social Commerce: How 5G Is Turning Educators into Software Entrepreneurs.- 15. Digital Health Entrepreneurship: A Founder’s Perspective on Ecosystem-Supported Growth.- 16. Internal Organization of Software Startups During the Scale-Up Process.- 17. Shaping the Next Generation of Entrepreneurs: Educational Strategies for Startup Business Development.

Produktdetails
  • Erscheinungsdatum: 22.01.2026
  • Autor/Autorin: Nirnaya Tripathi
  • Reihe: Professional and Applied Computing (R0)
  • Format: E-Book
  • Dateiformat: PDF
  • Kopierschutz: Wasserzeichen
  • Dateigröße: 21.9 MB
  • Verlag: SPRINGER
  • Sprache: Englisch
  • Umfang: 319 Seiten
  • ISBN: 9783032042941
  • Lieferung: Sofort per Download
  • Hinweis: Sofort per Download lieferbar. Kein physischer Versand.
  • Kompatibilität: Lesbar auf Geräten und Apps mit PDF-Unterstützung.
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