Software Testing With Generative Ai

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Software Testing with Generative AI

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Author : Mark Winteringham
Publisher : Simon and Schuster
ISBN 13 : 1633437361
Total Pages : 302 pages
Book Rating : 4.6/5 (334 download)

Book Synopsis Software Testing with Generative AI by : Mark Winteringham

Download or read book Software Testing with Generative AI written by Mark Winteringham and published by Simon and Schuster. This book was released on 2024-12-10 with total page 302 pages. Available in PDF, EPUB and Kindle. Book excerpt: Speed up your testing and deliver exceptional product quality with the power of AI tools. The more you test, the more you learn about your software. Software Testing with Generative AI shows you how you can expand, automate, and enhance your testing with Large Language Model (LLM)-based AI. Your team will soon be delivering higher quality tests, all in less time. In Software Testing with Generative AI you’ll learn how to: • Spot opportunities to improve test quality with AI • Construct test automation with the support of AI tools • Formulate new ideas during exploratory testing using AI tools • Use AI tools to aid the design process of new features • Improve the testability of a context with the help of AI tools • Maximize your output with prompt engineering • Create custom LLMs for your business’s specific needs Software Testing with Generative AI is full of hype-free advice for supporting your software testing with AI. In it, you’ll find strategies from bestselling author Mark Winteringham to generate synthetic testing data, implement automation, and even augment and improve your test design with AI. Foreword by Nicola Martin. Purchase of the print book includes a free eBook in PDF and ePub formats from Manning Publications. About the technology There’s a simple rule in software testing: the more you test, the more you learn. And as any testing pro will tell you, good testing takes time. By integrating large language models (LLMs) and generative AI into your process, you can dramatically automate and enhance testing, improve quality and coverage, and deliver more meaningful results. About the book Software Testing with Generative AI shows you how AI can elevate every aspect of testing—automation, test data management, test scripting, exploratory testing, and more! Learn how to use AI coding tools like Copilot to guide test-driven development, get relevant feedback about your applications from ChatGPT, and use the OpenAI API to integrate AI into your data generation. You’ll soon have higher-quality testing that takes up less of your time. What's inside • Improve test quality and coverage • AI-powered test automation • Build agents that act as testing assistants About the reader For developers, testers, and quality engineers. About the author Mark Winteringham is an experienced software tester who teaches many aspects of software testing. He is the author of Testing Web APIs. The technical editor on this book was Robert Walsh. Table of Contents Part 1 1 Enhancing testing with large language models 2 Large language models and prompt engineering 3 Artificial intelligence, automation, and testing Part 2 4 AI-assisted testing for developers 5 Test planning with AI support 6 Rapid data creation using AI 7 Accelerating and improving UI automation using AI 8 Assisting exploratory testing with artificial intelligence 9 AI agents as testing assistants Part 3 10 Introducing customized LLMs 11 Contextualizing prompts with retrieval-augmented generation 12 Fine-tuning LLMs with business domain knowledge Appendix A Setting up and using ChatGPT Appendix B Setting up and using GitHub Copilot Appendix C Exploratory testing notes

Software Testing with Generative AI

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Author : Mark Winteringham
Publisher : Simon and Schuster
ISBN 13 : 1638356599
Total Pages : 0 pages
Book Rating : 4.6/5 (383 download)

Book Synopsis Software Testing with Generative AI by : Mark Winteringham

Download or read book Software Testing with Generative AI written by Mark Winteringham and published by Simon and Schuster. This book was released on 2024-12-10 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Speed up your testing and deliver exceptional product quality with the power of AI tools. The more you test, the more you learn about your software. Software Testing with Generative AI shows you how you can expand, automate, and enhance your testing with Large Language Model (LLM)-based AI. Your team will soon be delivering higher quality tests, all in less time. In Software Testing with Generative AI you’ll learn how to: • Spot opportunities to improve test quality with AI • Construct test automation with the support of AI tools • Formulate new ideas during exploratory testing using AI tools • Use AI tools to aid the design process of new features • Improve the testability of a context with the help of AI tools • Maximize your output with prompt engineering • Create custom LLMs for your business’s specific needs Software Testing with Generative AI is full of hype-free advice for supporting your software testing with AI. In it, you’ll find strategies from bestselling author Mark Winteringham to generate synthetic testing data, implement automation, and even augment and improve your test design with AI. Foreword by Nicola Martin. About the technology There’s a simple rule in software testing: the more you test, the more you learn. And as any testing pro will tell you, good testing takes time. By integrating large language models (LLMs) and generative AI into your process, you can dramatically automate and enhance testing, improve quality and coverage, and deliver more meaningful results. About the book Software Testing with Generative AI shows you how AI can elevate every aspect of testing—automation, test data management, test scripting, exploratory testing, and more! Learn how to use AI coding tools like Copilot to guide test-driven development, get relevant feedback about your applications from ChatGPT, and use the OpenAI API to integrate AI into your data generation. You’ll soon have higher-quality testing that takes up less of your time. What's inside • Improve test quality and coverage • AI-powered test automation • Build agents that act as testing assistants About the reader For developers, testers, and quality engineers. About the author Mark Winteringham is an experienced software tester who teaches many aspects of software testing. He is the author of Testing Web APIs. The technical editor on this book was Robert Walsh. Table of Contents Part 1 1 Enhancing testing with large language models 2 Large language models and prompt engineering 3 Artificial intelligence, automation, and testing Part 2 4 AI-assisted testing for developers 5 Test planning with AI support 6 Rapid data creation using AI 7 Accelerating and improving UI automation using AI 8 Assisting exploratory testing with artificial intelligence 9 AI agents as testing assistants Part 3 10 Introducing customized LLMs 11 Contextualizing prompts with retrieval-augmented generation 12 Fine-tuning LLMs with business domain knowledge Appendix A Setting up and using ChatGPT Appendix B Setting up and using GitHub Copilot Appendix C Exploratory testing notes

Experimentation for Engineers

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Author : David Sweet
Publisher : Simon and Schuster
ISBN 13 : 1638356904
Total Pages : 246 pages
Book Rating : 4.6/5 (383 download)

Book Synopsis Experimentation for Engineers by : David Sweet

Download or read book Experimentation for Engineers written by David Sweet and published by Simon and Schuster. This book was released on 2023-03-21 with total page 246 pages. Available in PDF, EPUB and Kindle. Book excerpt: Optimize the performance of your systems with practical experiments used by engineers in the world’s most competitive industries. In Experimentation for Engineers: From A/B testing to Bayesian optimization you will learn how to: Design, run, and analyze an A/B test Break the "feedback loops" caused by periodic retraining of ML models Increase experimentation rate with multi-armed bandits Tune multiple parameters experimentally with Bayesian optimization Clearly define business metrics used for decision-making Identify and avoid the common pitfalls of experimentation Experimentation for Engineers: From A/B testing to Bayesian optimization is a toolbox of techniques for evaluating new features and fine-tuning parameters. You’ll start with a deep dive into methods like A/B testing, and then graduate to advanced techniques used to measure performance in industries such as finance and social media. Learn how to evaluate the changes you make to your system and ensure that your testing doesn’t undermine revenue or other business metrics. By the time you’re done, you’ll be able to seamlessly deploy experiments in production while avoiding common pitfalls. About the technology Does my software really work? Did my changes make things better or worse? Should I trade features for performance? Experimentation is the only way to answer questions like these. This unique book reveals sophisticated experimentation practices developed and proven in the world’s most competitive industries that will help you enhance machine learning systems, software applications, and quantitative trading solutions. About the book Experimentation for Engineers: From A/B testing to Bayesian optimization delivers a toolbox of processes for optimizing software systems. You’ll start by learning the limits of A/B testing, and then graduate to advanced experimentation strategies that take advantage of machine learning and probabilistic methods. The skills you’ll master in this practical guide will help you minimize the costs of experimentation and quickly reveal which approaches and features deliver the best business results. What's inside Design, run, and analyze an A/B test Break the “feedback loops” caused by periodic retraining of ML models Increase experimentation rate with multi-armed bandits Tune multiple parameters experimentally with Bayesian optimization About the reader For ML and software engineers looking to extract the most value from their systems. Examples in Python and NumPy. About the author David Sweet has worked as a quantitative trader at GETCO and a machine learning engineer at Instagram. He teaches in the AI and Data Science master's programs at Yeshiva University. Table of Contents 1 Optimizing systems by experiment 2 A/B testing: Evaluating a modification to your system 3 Multi-armed bandits: Maximizing business metrics while experimenting 4 Response surface methodology: Optimizing continuous parameters 5 Contextual bandits: Making targeted decisions 6 Bayesian optimization: Automating experimental optimization 7 Managing business metrics 8 Practical considerations

Software Testing in the Cloud: Perspectives on an Emerging Discipline

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Author : Tilley, Scott
Publisher : IGI Global
ISBN 13 : 1466625376
Total Pages : 479 pages
Book Rating : 4.4/5 (666 download)

Book Synopsis Software Testing in the Cloud: Perspectives on an Emerging Discipline by : Tilley, Scott

Download or read book Software Testing in the Cloud: Perspectives on an Emerging Discipline written by Tilley, Scott and published by IGI Global. This book was released on 2012-11-30 with total page 479 pages. Available in PDF, EPUB and Kindle. Book excerpt: In recent years, cloud computing has gained a significant amount of attention by providing more flexible ways to store applications remotely. With software testing continuing to be an important part of the software engineering life cycle, the emergence of software testing in the cloud has the potential to change the way software testing is performed. Software Testing in the Cloud: Perspectives on an Emerging Discipline is a comprehensive collection of research by leading experts in the field providing an overview of cloud computing and current issues in software testing and system migration. Deserving the attention of researchers, practitioners, and managers, this book aims to raise awareness about this new field of study.

AI-Infused Test Automation: Revolutionizing Software Testing through Artificial Intelligence

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Author : Anup Sahoo
Publisher : OrangeBooks Publication
ISBN 13 :
Total Pages : 348 pages
Book Rating : 4./5 ( download)

Book Synopsis AI-Infused Test Automation: Revolutionizing Software Testing through Artificial Intelligence by : Anup Sahoo

Download or read book AI-Infused Test Automation: Revolutionizing Software Testing through Artificial Intelligence written by Anup Sahoo and published by OrangeBooks Publication. This book was released on 2023-11-27 with total page 348 pages. Available in PDF, EPUB and Kindle. Book excerpt: AI-Infused Test Automation: Revolutionizing Software Testing through Artificial Intelligence is an enlightening book that explores the transformative power of AI in software testing. It covers a wide range of AI-driven techniques, tools, and practices, providing readers with a comprehensive understanding of how AI has revolutionized the field. The book inspires readers to embrace AI and leverage its capabilities to enhance test case generation, bug detection, performance testing, and test management. With AI, readers can achieve higher productivity, improved software quality, and enhanced customer satisfaction. This book catalyzes readers to embark on their AI-infused testing journey, driving innovation and shaping the future of software testing.

App Quality

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Author : jason arbon
Publisher : Jason Arbon
ISBN 13 : 1499751273
Total Pages : 345 pages
Book Rating : 4.4/5 (997 download)

Book Synopsis App Quality by : jason arbon

Download or read book App Quality written by jason arbon and published by Jason Arbon. This book was released on 2014-05-22 with total page 345 pages. Available in PDF, EPUB and Kindle. Book excerpt: "App Quality: Secrets for Agile App Teams" gives agile and lean app teams an edge in building well-received apps, and accelerates them on the way to 5-stars. The book is written for app developers, testers and product managers. The book uses real world examples and data-driven techniques that any app team can apply to their designs, code, agile sprints, and product planning. "App Quality" gives your app team access to the best practices and hard-earned lessons from analyzing hundreds of millions of app store reviews, thousands of app testers testing hundreds of top apps, and conversations with top app teams. Included: Top 10 App Quality Monsters Top 10 Quality Attributes Tips for Developers, Testers, and Product Managers The book is aimed at both "Agile" and "Lean" app teams. The book is focused on analytics and practical, real-world examples of quality issues, and practical solutions to those quality issues. Whether the team is just starting to plan their next great app, or improving an existing one, following the recommendations and system outlined in this book will help get your app to 5 stars. "App Quality" walks through the "Top 10 App Quality Monsters". These are the top sources of quality issues in today's modern apps: App Deployment and Distribution, Device State and Fragmentation, Users, Real World, Reviews, Metrics, Competition, Security and Privacy, User Interface, and Agile Mobile Teams themselves. Each quality monster is described in detail, with specific best practices and tips for Developers, Testers, and Product Managers. The book also describes the "Top 10 Quality Attributes", learned from app store review analysis and app testing: Content, Elegance, Interoperability, Performance, Pricing, Privacy, Satisfaction, Security, Stability, and Usability. Each quality attribute is described in detail, with real world app examples, with specific best practices and tips Developers, Testers, and Product Managers and pointers to tools and services to improve app quality. Prepare for a deep dive on app store reviews. Deep analytics of what types of feedback people are leaving in the apps store reviews, by type, by frequency, per-category, etc. The book outlines ways to leverage this data to build a higher quality app, improve star ratings, and make users happier. Some myths about Agile for app teams are also debunked. Techniques for leveraging app store reviews for competitive analysis are also described in detail. App store reviews are critical to building a high quality app that is also perceived as high quality. Putting it all together, the book then walks through an example of applying all these great tips, best practices, and data, to a real-world app. See how an expert applies these techniques to a real world app, and see how it can easily apply to your app. See the impact on test planning, development practices, and product prioritization. Armed with the latest best practices, tips, and data-driven quality analysis, app teams can build solid apps with minimal effort and time. The secrets in "App Quality" gives agile and lean teams an edge in building well-received apps, and accelerate them on the way to 5-stars.

How Google Tests Software

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Author : James A. Whittaker
Publisher : Addison-Wesley
ISBN 13 : 0132851555
Total Pages : 316 pages
Book Rating : 4.1/5 (328 download)

Book Synopsis How Google Tests Software by : James A. Whittaker

Download or read book How Google Tests Software written by James A. Whittaker and published by Addison-Wesley. This book was released on 2012-03-21 with total page 316 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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!

Testing Computer Software

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Author : Cem Kaner
Publisher : John Wiley & Sons
ISBN 13 : 0471358460
Total Pages : 502 pages
Book Rating : 4.4/5 (713 download)

Book Synopsis Testing Computer Software by : Cem Kaner

Download or read book Testing Computer Software written by Cem Kaner and published by John Wiley & Sons. This book was released on 1999-04-26 with total page 502 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book will teach you how to test computer software under real-world conditions. The authors have all been test managers and software development managers at well-known Silicon Valley software companies. Successful consumer software companies have learned how to produce high-quality products under tight time and budget constraints. The book explains the testing side of that success. Who this book is for: * Testers and Test Managers * Project Managers-Understand the timeline, depth of investigation, and quality of communication to hold testers accountable for. * Programmers-Gain insight into the sources of errors in your code, understand what tests your work will have to pass, and why testers do the things they do. * Students-Train for an entry-level position in software development. What you will learn: * How to find important bugs quickly * How to describe software errors clearly * How to create a testing plan with a minimum of paperwork * How to design and use a bug-tracking system * Where testing fits in the product development process * How to test products that will be translated into other languages * How to test for compatibility with devices, such as printers * What laws apply to software quality

A Practitioner's Guide to Software Test Design

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Author : Lee Copeland
Publisher : Artech House
ISBN 13 : 9781580537322
Total Pages : 328 pages
Book Rating : 4.5/5 (373 download)

Book Synopsis A Practitioner's Guide to Software Test Design by : Lee Copeland

Download or read book A Practitioner's Guide to Software Test Design written by Lee Copeland and published by Artech House. This book was released on 2004 with total page 328 pages. Available in PDF, EPUB and Kindle. Book excerpt: Written by a leading expert in the field, this unique volume contains current test design approaches and focuses only on software test design. Copeland illustrates each test design through detailed examples and step-by-step instructions.

Grokking Continuous Delivery

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Author : Christie Wilson
Publisher : Simon and Schuster
ISBN 13 : 163835149X
Total Pages : 422 pages
Book Rating : 4.6/5 (383 download)

Book Synopsis Grokking Continuous Delivery by : Christie Wilson

Download or read book Grokking Continuous Delivery written by Christie Wilson and published by Simon and Schuster. This book was released on 2022-12-06 with total page 422 pages. Available in PDF, EPUB and Kindle. Book excerpt: Build and use systems that safely automate software delivery from testing through release with this jargon-busting guide to continuous delivery pipelines. In Grokking Continuous Delivery you will learn how to: Design effective CD pipelines for new and legacy projects Keep your software projects release-ready Maintain effective tests Scale CD across multiple applications Ensure pipelines give the right signals at the right time Use version control as the source of truth Safely automate deployments with metrics Describe CD in a way that makes sense to your colleagues Grokking Continuous Delivery teaches you the design and purpose of continuous delivery systems that you can use with any language or stack. You’ll learn directly from your mentor Christie Wilson, Google engineer and co-creator of the Tekton CI/CD framework. Using crystal-clear, well-illustrated examples, Christie lays out the practical nuts and bolts of continuous delivery for developers and pipeline designers. In each chapter, you’ll uncover the proper approaches to solve the real-world challenges of setting up a CD pipeline. With this book as your roadmap, you’ll have a clear plan for bringing CD to your team without the need for costly trial-and-error experimentation. About the technology Keep your codebase release-ready. A continuous delivery pipeline automates version control, testing, and deployment with minimal developer intervention. Master the tools and practices of continuous delivery, and you’ll be able to add features and push updates quickly and consistently. About the book Grokking Continuous Delivery is a friendly guide to setting up and working with a continuous delivery pipeline. Each chapter takes on a different scenario you’ll face when setting up a CD system, with real-world examples like automated scaling and testing legacy applications. Taking a tool-agnostic approach, author Christie Wilson guides you each step of the way with illustrations, crystal-clear explanations, and practical exercises to lock in what you’re learning. What's inside Design effective CD pipelines for new and legacy projects Ensure your pipelines give the right signals at the right times Version control as the source of truth Safely automate deployments About the reader For software engineers who want to add CD to their development process. About the author Christie Wilson is a software engineer at Google, where she co-created Tekton, a cloud-native CI/CD platform built on Kubernetes. Table of Contents PART 1 Introducing continuous delivery 1 Welcome to Grokking Continuous Delivery 2 A basic pipeline PART 2 Keeping software in a deliverable state at all times 3 Version control is the only way to roll 4 Use linting effectively 5 Dealing with noisy tests 6 Speeding up slow test suites 7 Give the right signals at the right times PART 3 Making delivery easy 8 Easy delivery starts with version control 9 Building securely and reliably 10 Deploying confidently PART 4 CD design 11 Starter packs: From zero to CD 12 Scripts are code, too 13 Pipeline design

Advances in Smart Medical, IoT & Artificial Intelligence

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Author : Mohammed Serrhini
Publisher : Springer Nature
ISBN 13 : 3031668502
Total Pages : 340 pages
Book Rating : 4.0/5 (316 download)

Book Synopsis Advances in Smart Medical, IoT & Artificial Intelligence by : Mohammed Serrhini

Download or read book Advances in Smart Medical, IoT & Artificial Intelligence written by Mohammed Serrhini and published by Springer Nature. This book was released on with total page 340 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Trends in Software Testing

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Author : Hrushikesha Mohanty
Publisher : Springer
ISBN 13 : 9811014159
Total Pages : 186 pages
Book Rating : 4.8/5 (11 download)

Book Synopsis Trends in Software Testing by : Hrushikesha Mohanty

Download or read book Trends in Software Testing written by Hrushikesha Mohanty and published by Springer. This book was released on 2016-07-26 with total page 186 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is focused on the advancements in the field of software testing and the innovative practices that the industry is adopting. Considering the widely varied nature of software testing, the book addresses contemporary aspects that are important for both academia and industry. There are dedicated chapters on seamless high-efficiency frameworks, automation on regression testing, software by search, and system evolution management. There are a host of mathematical models that are promising for software quality improvement by model-based testing. There are three chapters addressing this concern. Students and researchers in particular will find these chapters useful for their mathematical strength and rigor. Other topics covered include uncertainty in testing, software security testing, testing as a service, test technical debt (or test debt), disruption caused by digital advancement (social media, cloud computing, mobile application and data analytics), and challenges and benefits of outsourcing. The book will be of interest to students, researchers as well as professionals in the software industry.

Dragons Out!

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Author : Kari Kakkonen
Publisher : Austin Macauley Publishers
ISBN 13 : 1398406783
Total Pages : 185 pages
Book Rating : 4.3/5 (984 download)

Book Synopsis Dragons Out! by : Kari Kakkonen

Download or read book Dragons Out! written by Kari Kakkonen and published by Austin Macauley Publishers. This book was released on 2021-07-30 with total page 185 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn about software testing in a fun way, by reading stories about dragons and knights. The book is a great read for children on their own, with their parents, or as an additional reading in schools. It is also for anyone who wants to know what software testing is, they will enjoy this book tremendously. The book talks about adventures of two children, Laura and Tom, who tumble into dragons annoying villages and castles. They learn about different dragons and how to defeat them with the help of knights. The children grow into exceptional dragon experts. Stories are explained in information technology and software testing terms and concepts, e.g. a dragon represents a software defect, and knights represent testers and developers. Reading parallels is an easy-to-understand way of learning. In this book, Kari Kakkonen combines his passion into fantasy and software testing in a new and fascinating way, creating an enjoyable experience for the readers. The book is suitable for ages of 9-99, although it is written for children. “I love the idea of bringing testing and dragons together. Explaining testing ideas in this way is great for new testers to give them a broad idea of the depth of testing. The stories can sit on their own for children as well, and may encourage them to think about how they could test some of the apps they use.” Janet Gregory, DragonFire Inc, co-author of three books on agile testing.

Generative AI for Effective Software Development

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Author : Anh Nguyen-Duc
Publisher : Springer Nature
ISBN 13 : 3031556429
Total Pages : 346 pages
Book Rating : 4.0/5 (315 download)

Book Synopsis Generative AI for Effective Software Development by : Anh Nguyen-Duc

Download or read book Generative AI for Effective Software Development written by Anh Nguyen-Duc and published by Springer Nature. This book was released on with total page 346 pages. Available in PDF, EPUB and Kindle. Book excerpt:

AI Strategies For Web Development

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Author : Anderson Soares Furtado Oliveira
Publisher : Packt Publishing Ltd
ISBN 13 : 1835886310
Total Pages : 458 pages
Book Rating : 4.8/5 (358 download)

Book Synopsis AI Strategies For Web Development by : Anderson Soares Furtado Oliveira

Download or read book AI Strategies For Web Development written by Anderson Soares Furtado Oliveira and published by Packt Publishing Ltd. This book was released on 2024-09-30 with total page 458 pages. Available in PDF, EPUB and Kindle. Book excerpt: From fundamental to advanced strategies, unlock useful insights for creating innovative, user-centric websites while navigating the evolving landscape of AI ethics and security Key Features Explore AI's role in web development, from shaping projects to architecting solutions Master advanced AI strategies to build cutting-edge applications Anticipate future trends by exploring next-gen development environments, emerging interfaces, and security considerations in AI web development Purchase of the print or Kindle book includes a free PDF eBook Book Description If you're a web developer looking to leverage the power of AI in your projects, then this book is for you. Written by an AI and ML expert with more than 15 years of experience, AI Strategies for Web Development takes you on a transformative journey through the dynamic intersection of AI and web development, offering a hands-on learning experience.The first part of the book focuses on uncovering the profound impact of AI on web projects, exploring fundamental concepts, and navigating popular frameworks and tools. As you progress, you'll learn how to build smart AI applications with design intelligence, personalized user journeys, and coding assistants. Later, you'll explore how to future-proof your web development projects using advanced AI strategies and understand AI's impact on jobs. Toward the end, you'll immerse yourself in AI-augmented development, crafting intelligent web applications and navigating the ethical landscape.Packed with insights into next-gen development environments, AI-augmented practices, emerging realities, interfaces, and security governance, this web development book acts as your roadmap to staying ahead in the AI and web development domain. What you will learn Build AI-powered web projects with optimized models Personalize UX dynamically with AI, NLP, chatbots, and recommendations Explore AI coding assistants and other tools for advanced web development Craft data-driven, personalized experiences using pattern recognition Architect effective AI solutions while exploring the future of web development Build secure and ethical AI applications following TRiSM best practices Explore cutting-edge AI and web development trends Who this book is for This book is for web developers with experience in programming languages and an interest in keeping up with the latest trends in AI-powered web development. Full-stack, front-end, and back-end developers, UI/UX designers, software engineers, and web development enthusiasts will also find valuable information and practical guidelines for developing smarter websites with AI. To get the most out of this book, it is recommended that you have basic knowledge of programming languages such as HTML, CSS, and JavaScript, as well as a familiarity with machine learning concepts.

How to Develop a QA Strategy with Generative AI

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Author : Bosun Sogeke
Publisher : Bosun Sogeke
ISBN 13 : 1068770619
Total Pages : 71 pages
Book Rating : 4.0/5 (687 download)

Book Synopsis How to Develop a QA Strategy with Generative AI by : Bosun Sogeke

Download or read book How to Develop a QA Strategy with Generative AI written by Bosun Sogeke and published by Bosun Sogeke. This book was released on 2024-08-16 with total page 71 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the rapidly evolving landscape of software development, Quality Assurance (QA) plays a pivotal role in ensuring the reliability and performance of applications. "How to Develop a QA Strategy with Generative AI" provides a comprehensive guide to leveraging cutting-edge Generative AI technologies to enhance your QA processes. This ebook delves into the practical steps required to integrate AI into your existing QA workflows, from selecting the right tools to implementing automated testing and predictive analytics. Through detailed case studies, real-world examples, and step-by-step instructions, you’ll learn how to automate repetitive tasks, improve test accuracy, and significantly reduce testing cycles. Whether you’re a QA manager, software engineer, or tech enthusiast, this guide offers valuable insights into the future of QA. Discover how AI-driven tools can transform your approach to software quality, leading to better products and satisfied customers.

How to Break Software

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Author : James A. Whittaker
Publisher : Pearson
ISBN 13 :
Total Pages : 218 pages
Book Rating : 4.3/5 (91 download)

Book Synopsis How to Break Software by : James A. Whittaker

Download or read book How to Break Software written by James A. Whittaker and published by Pearson. This book was released on 2003 with total page 218 pages. Available in PDF, EPUB and Kindle. Book excerpt: CD-ROM contains: Canned HEAT v.2.0 -- Holodeck Lite v. 1.0.