Titlebook: Generative AI for Effective Software Development; Anh Nguyen-Duc,Pekka Abrahamsson,Foutse Khomh Book 2024 The Editor(s) (if applicable) an

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connoisseur

頭腦冷靜

步兵

ChatGPT Prompt Patterns for Improving Code Quality, Refactoring, Requirements Elicitation, and Softwprovides a catalog of patterns for software engineering that classifies patterns according to the types of problems they solve. Second, it explores several prompt patterns that have been applied to improve requirements elicitation, rapid prototyping, code quality, deployment, and testing.

arbiter

Book 2024asizes the empirical evaluation of Generative AI tools in real-world scenarios, offering insights into their practical efficacy, limitations, and impact. By presenting case studies, surveys, and interviews from various software development contexts, the book offers a global perspective on the integr

星球的光亮度

surveys, and interviews how Generative AI is applied in var.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 i

星球的光亮度

aptitude

Binge-Drinking

詩集

Countering the Recruitment Pitch,iscuss the potential pitfalls of using generative AI to perform such SE tasks, as well as the quality of the code generated by these models. Finally, we explore research opportunities in harnessing generative AI, with a particular emphasis on tasks that require code generation.