Generative AI for Effective Software Development
This book provides a comprehensive, empirically grounded exploration of how Generative AI is reshaping the landscape of software development. It emphasizes the empirical evaluation of Generative AI tools in real-world scenarios, offering insights into their practical efficacy, limitations, and impac...
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| Autor Corporativo: | |
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| Otros Autores: | , , |
| Formato: | Electrónico eBook |
| Lenguaje: | inglés |
| Publicado: |
Cham :
Springer Nature Switzerland : Imprint: Springer,
2024.
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| Edición: | 1st ed. 2024. |
| Materias: | |
| Acceso en línea: | https://doi.org/10.1007/978-3-031-55642-5 |
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Tabla de Contenidos:
- Part 1: Fundamental on Generative AI
- 1. An Overview of Large Language Models by
- Part 2: Patterns and Tools for the Adoption of Generative AI in Software Engineering
- 2. Comparing Proficiency of ChatGPT and Bard in Software Development
- 3. DAnTE: a taxonomy for the automation degree of software engineering tasks
- 4. ChatGPT Prompt Patterns for Improving Code Quality, Refactoring, Requirements Elicitation, and Software Design
- 5. Requirements Engineering using GenAI: Prompts and Prompting Patterns
- 6. Advancing Requirements Engineering through Generative AI: Assessing the Role of LLMs
- Part 3: Generative AI in Software Development: Case Studies
- 7. Generative AI for Software Development: A Family of Case Studies on Code Generation Tasks
- 8. On the adoption of CodeBERT for automated vulnerability code repair
- 9. ChatGPT as a fullstack web developer
- Part 4: Generative AI in Software Engineering Processes
- 10. Transforming Software Development with Generative AI: Empirical Insights on Collaboration and Workflow
- 11. How Can Generative AI Enhance Software Management? Is it better done than perfect?
- 12. Value-based Adoption of ChatGPT in Agile Software Development: A Survey Study of Nordic Software Experts
- 13. Early results from a study of GenAI adoption in a large Brazilian company: the case of Globo
- Part 5: Future Directions and Education
- 14. Generating Explanations for AI-powered Delay Prediction in Software Projects
- 15. Classifying User Intent for Effective Prompt Engineering: A Case of a Chatbot for Startup Teams
- 16. Toward Guiding Students: Exploring Effective Approaches to Utilize AI Tools in Programming Courses.