Generative AI for Effective Software Development

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.

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• Engenharia do software
• Inteligência artificial

Generative Artificial Inteligence;Software Development;AI-assisted SWE Tools;ChatGPT;Code Generation;Agile Project Management