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Chatgpt For Software Developers


Chatgpt For Software Developers
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Chatgpt For Software Developers


Chatgpt For Software Developers
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Author : Jade Summers
language : en
Publisher: Jade Summers
Release Date :

Chatgpt For Software Developers written by Jade Summers and has been published by Jade Summers this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.


🚀 Unlock the Future of Software Development with AI! 🚀 Dive into the revolutionary world of AI-powered coding with ChatGPT for Software Developers: Enhancing Productivity and Innovation with AI. This comprehensive guide explores how ChatGPT, an advanced AI language model developed by OpenAI, can transform your software development practices. From optimizing workflows to generating code, this book offers actionable insights to elevate your productivity and innovation. Highlights: Code Generation: Learn how to describe functions and algorithms in natural language and let ChatGPT do the heavy lifting. Bug Fixing: Expedite the debugging process with AI-assisted error diagnosis and correction. Documentation Automation: Maintain up-to-date and comprehensive documentation effortlessly. Algorithm Suggestions: Get tailored algorithmic solutions for complex problems. Real-world Examples: Discover how leading tech companies integrate ChatGPT into their development workflows. Unleash the power of AI and stay ahead in the rapidly evolving field of software development. Get your copy now and revolutionize your coding experience!



Generative Ai For Effective Software Development


Generative Ai For Effective Software Development
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Author : Anh Nguyen-Duc
language : en
Publisher: Springer Nature
Release Date : 2024-05-31

Generative Ai For Effective Software Development written by Anh Nguyen-Duc and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-05-31 with Computers categories.


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 impact. By presenting case studies, surveys, and interviews from various software development contexts, the book offers a global perspective on the integration of Generative AI, highlighting how these advanced tools are adapted to and influence diverse cultural, organizational, and technological environments. This book is structured to provide a comprehensive understanding of Generative AI and its transformative impact on the field of software engineering. The book is divided into five parts, each focusing on different aspects of Generative AI in software development. As an introduction, Part 1 presents the fundamentals of Generative AI adoption. Part 2 is a collection of empirical studies and delves into the practical aspects of integrating Generative AI tools in software engineering, with a focus on patterns, methodologies, and comparative analyses. Next, Part 3 presents case studies that showcase the application and impact of Generative AI in various software development contexts. Part 4 then examines how Generative AI is reshaping software engineering processes, from collaboration and workflow to management and agile development. Finally, Part 5 looks towards the future, exploring emerging trends, future directions, and the role of education in the context of Generative AI. The book offers diverse perspectives as it compiles research and experiences from various countries and software development environments. It also offers non-technical discussions about Generative AI in management, teamwork, business and education. This way, it is intended for both researchers in software engineering and for professionals in industry who want to learn about the impactof Generative AI on software development.



Software Engineering At Google


Software Engineering At Google
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Author : Titus Winters
language : en
Publisher: O'Reilly Media
Release Date : 2020-02-28

Software Engineering At Google written by Titus Winters and has been published by O'Reilly Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-02-28 with Computers categories.


Today, software engineers need to know not only how to program effectively but also how to develop proper engineering practices to make their codebase sustainable and healthy. This book emphasizes this difference between programming and software engineering. How can software engineers manage a living codebase that evolves and responds to changing requirements and demands over the length of its life? Based on their experience at Google, software engineers Titus Winters and Hyrum Wright, along with technical writer Tom Manshreck, present a candid and insightful look at how some of the worldâ??s leading practitioners construct and maintain software. This book covers Googleâ??s unique engineering culture, processes, and tools and how these aspects contribute to the effectiveness of an engineering organization. Youâ??ll explore three fundamental principles that software organizations should keep in mind when designing, architecting, writing, and maintaining code: How time affects the sustainability of software and how to make your code resilient over time How scale affects the viability of software practices within an engineering organization What trade-offs a typical engineer needs to make when evaluating design and development decisions



Developer Testing


Developer Testing
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Author : Alexander Tarlinder
language : en
Publisher: Addison-Wesley Professional
Release Date : 2016-09-07

Developer Testing written by Alexander Tarlinder and has been published by Addison-Wesley Professional this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-09-07 with Computers categories.


How do successful agile teams deliver bug-free, maintainable software—iteration after iteration? The answer is: By seamlessly combining development and testing. On such teams, the developers write testable code that enables them to verify it using various types of automated tests. This approach keeps regressions at bay and prevents “testing crunches”—which otherwise may occur near the end of an iteration—from ever happening. Writing testable code, however, is often difficult, because it requires knowledge and skills that cut across multiple disciplines. In Developer Testing, leading test expert and mentor Alexander Tarlinder presents concise, focused guidance for making new and legacy code far more testable. Tarlinder helps you answer questions like: When have I tested this enough? How many tests do I need to write? What should my tests verify? You’ll learn how to design for testability and utilize techniques like refactoring, dependency breaking, unit testing, data-driven testing, and test-driven development to achieve the highest possible confidence in your software. Through practical examples in Java, C#, Groovy, and Ruby, you’ll discover what works—and what doesn’t. You can quickly begin using Tarlinder’s technology-agnostic insights with most languages and toolsets while not getting buried in specialist details. The author helps you adapt your current programming style for testability, make a testing mindset “second nature,” improve your code, and enrich your day-to-day experience as a software professional. With this guide, you will Understand the discipline and vocabulary of testing from the developer’s standpoint Base developer tests on well-established testing techniques and best practices Recognize code constructs that impact testability Effectively name, organize, and execute unit tests Master the essentials of classic and “mockist-style” TDD Leverage test doubles with or without mocking frameworks Capture the benefits of programming by contract, even without runtime support for contracts Take control of dependencies between classes, components, layers, and tiers Handle combinatorial explosions of test cases, or scenarios requiring many similar tests Manage code duplication when it can’t be eliminated Actively maintain and improve your test suites Perform more advanced tests at the integration, system, and end-to-end levels Develop an understanding for how the organizational context influences quality assurance Establish well-balanced and effective testing strategies suitable for agile teams



Multi Disciplinary Trends In Artificial Intelligence


Multi Disciplinary Trends In Artificial Intelligence
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Author : Chattrakul Sombattheera
language : en
Publisher: Springer Nature
Release Date : 2025-02-19

Multi Disciplinary Trends In Artificial Intelligence written by Chattrakul Sombattheera and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-19 with Computers categories.


The two-volume set LNAI 15431 and 15432 constitutes the refereed proceedings of the 17th International Conference on Multi-disciplinary Trends in Artificial Intelligence, MIWAI 2024, held in Pattaya, Thailand, during November 11–15, 2024. The 68 full papers presented in these proceedings were carefully reviewed and selected from 147 submissions. The papers focus on various topics in AI and its applications, such as deep learning, machine learning, computer vision, pattern recognition, and natural language processing.



Software Engineering And Management Theory And Applications


Software Engineering And Management Theory And Applications
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Author : Roger Lee
language : en
Publisher: Springer Nature
Release Date : 2025-04-26

Software Engineering And Management Theory And Applications written by Roger Lee and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-26 with Computers categories.


This book reports state-of-the-art results in Software Engineering Research, Management & Applications in both printed and electronic form. Studies in Computation Intelligence (SCI) has grown into the most comprehensive computational intelligence research forum available in the world. This book published original papers on both theory and practice that address foundations, state-of-the-art problems and solutions, and crucial challenges.



How Google Tests Software


How Google Tests Software
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Author : James A. Whittaker
language : en
Publisher: Addison-Wesley
Release Date : 2012-03-21

How Google Tests Software written by James A. Whittaker and has been published by Addison-Wesley this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-03-21 with Computers categories.


2012 Jolt Award finalist! Pioneering the Future of Software Test Do you need to get it right, too? Then, learn from Google. Legendary testing expert James Whittaker, until recently a Google testing leader, and two top Google experts reveal exactly how Google tests software, offering brand-new best practices you can use even if you’re not quite Google’s size...yet! Breakthrough Techniques You Can Actually Use Discover 100% practical, amazingly scalable techniques for analyzing risk and planning tests...thinking like real users...implementing exploratory, black box, white box, and acceptance testing...getting usable feedback...tracking issues...choosing and creating tools...testing “Docs & Mocks,” interfaces, classes, modules, libraries, binaries, services, and infrastructure...reviewing code and refactoring...using test hooks, presubmit scripts, queues, continuous builds, and more. With these techniques, you can transform testing from a bottleneck into an accelerator–and make your whole organization more productive!



Software Engineering Project Planning And Design


Software Engineering Project Planning And Design
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Author : Dr. Virendra Kumar Tiwari
language : en
Publisher: Academic Guru Publishing House
Release Date : 2024-01-19

Software Engineering Project Planning And Design written by Dr. Virendra Kumar Tiwari and has been published by Academic Guru Publishing House this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-01-19 with Study Aids categories.


Software engineering is the systematic application of the engineering discipline to the development of software (referred to as a software process). It is the utilisation of established principles, methodologies, and instruments to develop software that satisfies requirements in a timely, economical, and high-quality manner. The book under consideration encompasses not only the technical aspects of software development, but also encompasses project management activities and the formulation of theories, tools, and techniques that facilitate software production. Failure to implement software engineering methods leads to software that is more costly and less dependable. This can prove to be critical in the long run, as the expenses will increase substantially as new developments emerge. Software engineering methods and techniques vary in suitability for distinct categories of systems. Presently, software engineering is an enormous field to the extent that the entire subject cannot be covered in a single text. Therefore, the primary emphasis of this book is on crit-ical subjects that are intrinsic to all development processes and pertain to the construction of dependable, decentralised systems. An increased emphasis is being placed on agile methods and software reuse. Agile methods, according to the authors of this book, have their place, but "traditional" plan-driven software engineering also has its position.



Artificial Intelligence And Large Language Models


Artificial Intelligence And Large Language Models
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Author : Kutub Thakur
language : en
Publisher: CRC Press
Release Date : 2024-07-12

Artificial Intelligence And Large Language Models written by Kutub Thakur and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-12 with Computers categories.


Having been catapulted into public discourse in the last few years, this book serves as an in-depth exploration of the ever-evolving domain of artificial intelligence (AI), large language models, and ChatGPT. It provides a meticulous and thorough analysis of AI, ChatGPT technology, and their prospective trajectories given the current trend, in addition to tracing the significant advancements that have materialized over time. Key Features: Discusses the fundamentals of AI for general readers Introduces readers to the ChatGPT chatbot and how it works Covers natural language processing (NLP), the foundational building block of ChatGPT Introduces readers to the deep learning transformer architecture Covers the fundamentals of ChatGPT training for practitioners Illustrated and organized in an accessible manner, this textbook contains particular appeal to students and course convenors at the undergraduate and graduate level, as well as a reference source for general readers.



Ai And Machine Learning For Coders


Ai And Machine Learning For Coders
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Author : Laurence Moroney
language : en
Publisher: O'Reilly Media
Release Date : 2020-10-01

Ai And Machine Learning For Coders written by Laurence Moroney and has been published by O'Reilly Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-10-01 with Computers categories.


If you're looking to make a career move from programmer to AI specialist, this is the ideal place to start. Based on Laurence Moroney's extremely successful AI courses, this introductory book provides a hands-on, code-first approach to help you build confidence while you learn key topics. You'll understand how to implement the most common scenarios in machine learning, such as computer vision, natural language processing (NLP), and sequence modeling for web, mobile, cloud, and embedded runtimes. Most books on machine learning begin with a daunting amount of advanced math. This guide is built on practical lessons that let you work directly with the code. You'll learn: How to build models with TensorFlow using skills that employers desire The basics of machine learning by working with code samples How to implement computer vision, including feature detection in images How to use NLP to tokenize and sequence words and sentences Methods for embedding models in Android and iOS How to serve models over the web and in the cloud with TensorFlow Serving