AI-DRIVEN TEST STRATEGIES Enhancing Quality and Efficiency in Software Development PDF Download

Author: Phani Durga Nanda Kishore Kommisetty
Publisher: JEC PUBLICATION
ISBN: 9361751751
Category : Business & Economics
Languages : en
Pages : 162

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Author: Anil Kumar Kommrraju
Publisher: JEC PUBLICATION
ISBN: 9361753908
Category : Computers
Languages : en
Pages : 194

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Author: Anup Sahoo
Publisher: OrangeBooks Publication
ISBN:
Category : Juvenile Nonfiction
Languages : en
Pages : 348

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Book Description
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.

Author: Sharma, Avinash Kumar
Publisher: IGI Global
ISBN:
Category : Computers
Languages : en
Pages : 375

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Book Description
The rapid evolution of software engineering demands innovative approaches to meet the growing complexity and scale of modern software systems. Traditional methods often need help to keep pace with the demands for efficiency, reliability, and scalability. Manual development, testing, and maintenance processes are time-consuming and error-prone, leading to delays and increased costs. Additionally, integrating new technologies, such as AI, ML, Federated Learning, and Large Language Models (LLM), presents unique challenges in terms of implementation and ethical considerations. Advancing Software Engineering Through AI, Federated Learning, and Large Language Models provides a compelling solution by comprehensively exploring how AI, ML, Federated Learning, and LLM intersect with software engineering. By presenting real-world case studies, practical examples, and implementation guidelines, the book ensures that readers can readily apply these concepts in their software engineering projects. Researchers, academicians, practitioners, industrialists, and students will benefit from the interdisciplinary insights provided by experts in AI, ML, software engineering, and ethics.

Author: Bosun Sogeke
Publisher: Bosun Sogeke
ISBN: 1068770619
Category : Business & Economics
Languages : en
Pages : 71

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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.

Author: Dr R. Keerthika
Publisher: Inkbound Publishers
ISBN: 8196822340
Category : Computers
Languages : en
Pages : 224

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Book Description
Delve into the fascinating world of machine learning with this comprehensive guide, which unpacks the algorithms driving today's intelligent systems. From foundational concepts to advanced applications, this book is essential for anyone looking to understand the mechanics behind AI.

Author: Anderson Soares Furtado Oliveira
Publisher: Packt Publishing Ltd
ISBN: 1835886310
Category : Computers
Languages : en
Pages : 456

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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.

Author: Sumanth Tatineni
Publisher: Libertatem Media Private Limited
ISBN: 8197138214
Category : Computers
Languages : en
Pages : 251

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Book Description
Unlock the future of software development with Integrating Artificial Intelligence with DevOps: Advanced Techniques, Predictive Analytics, and Automation for Real-Time Optimization and Security in Modern Software Development. This comprehensive monograph is a must-read for professionals seeking to revolutionize their DevOps workflows through the power of AI. Dive deep into the intricate integration of Artificial Intelligence within DevOps practices and discover advanced methodologies that enhance every stage of the software development lifecycle. From predictive analytics and intelligent automation to real-time optimization and robust security measures, this book offers a wealth of knowledge for optimizing software delivery. Explore practical applications, in-depth case studies, and best practices that illustrate the transformative potential of AI in DevOps. Each chapter builds on the previous, providing a seamless and cohesive narrative that guides readers through foundational concepts to advanced implementations. Whether you're looking to improve CI/CD pipelines, automate testing and monitoring, manage infrastructure more efficiently, or enhance security with AI-driven techniques, this book equips you with the tools and insights needed to ensure high-quality, secure, and efficient software delivery. Join the vanguard of modern software development with Integrating Artificial Intelligence with DevOps, and harness AI to achieve real-time optimization and unparalleled security in your DevOps processes.

Author: Marc Hornbeek
Publisher: Packt Publishing Ltd
ISBN: 1835085210
Category : Computers
Languages : en
Pages : 350

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A step-by-step guide to developing high-quality, secure, and agile software using continuous testing and feedback strategies and tools Key Features Gain insights from real-world use cases and experiences of an IEEE Outstanding Engineer and DevOps consultant Implement best practices for continuous testing strategies and tools, test designs, environments, results, and metrics Leverage AI/ML, implementation patterns, and performance measurement during software development Book DescriptionOrganizations struggle to integrate and execute continuous testing, quality, security, and feedback practices into their DevOps, DevSecOps, and SRE approaches to achieve successful digital transformations. This book addresses these challenges by embedding these critical practices into your software development lifecycle. Beginning with the foundational concepts, the book progresses to practical applications, helping you understand why these practices are crucial in today’s fast-paced software development landscape. You’ll discover continuous strategies to avoid the common pitfalls and streamline the quality, security, and feedback mechanisms within software development processes. You’ll explore planning, discovery, and benchmarking through systematic engineering approaches, tailored to organizational needs. You’ll learn how to select toolchains, integrating AI/ML for resilience, and implement real-world case studies to achieve operational excellence. You’ll learn how to create strategic roadmaps, aligned with digital transformation goals, and measure outcomes recognized by DORA. You’ll explore emerging trends that are reshaping continuous practices in software development. By the end of this book, you’ll have the knowledge and skills to drive continuous improvement across the software development lifecycle.What you will learn Ensure continuous testing, quality, security, and feedback in DevOps, DevSecOps, and SRE practices Apply capability maturity models, set goals, conduct discoveries, and set benchmarks for digital transformations Implement and assess continuous improvement strategies with various tools and frameworks Avoid pitfalls and enhance user experience with gap assessments, value stream management, and roadmaps Adhere to proven engineering practices for software delivery and operations Stay on top of emerging trends in AI/ML and continuous improvement Who this book is for This book is for software engineers, DevOps engineers, DevSecOps engineers, site reliability engineers, testers, QA professionals, and enterprise leaders looking to implement continuous testing, quality, security, and feedback for achieving efficiency, reliability, and success in digital transformations. Basic knowledge and experience in software development, testing, system design and system operations is a must.

Author: Moataz Nabil
Publisher: Packt Publishing Ltd
ISBN: 1803246499
Category : Computers
Languages : en
Pages : 384

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Book Description
Learn to use mobile DevOps for faster, more efficient mobile development by uncovering the secrets of mobile application development lifecycle Key Features Discover best practices and mobile DevOps tools for test automation, app releases, performance optimization, security, error tracking, and more Enhance efficiency, speed, and quality of your development process with mobile DevOps Explore mobile DevOps components like continuous integration, testing, deployment, and monitoring Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionTo build mobile apps, you need to understand mobile-first features, tools, and processes that help you build, test, and release robust apps faster and more efficiently. The multitude of challenges stemming from mobile development's inherent complexities, including native iOS and Android app creation, cross-platform frameworks, and the implementation of scalable architectures within extensive teams, collectively contribute to a substantial number of obstacles that can significantly prolong the release process. This book will help you understand and implement the best practices of mobile DevOps for continuous integration, testing, delivery, deployment, and monitoring. You’ll explore different challenges faced by developers due to varied OSs, the unforgiving nature of mobile applications, and continuous updates to mobile phones and learn how to maneuver through these challenges. You’ll also get to grips with the latest trends while discovering the potential future of mobile DevOps, with valuable insights and guidance about integrating mobile development teams into your organization. By the end of this book, you’ll be well-equipped to successfully implement mobile DevOps and build fast, qualitative, and efficient mobile apps for your team or organization.What you will learn Discover the principles, components, and concepts of mobile DevOps Develop a successful mobile CI/CD strategy in your organization Identify the tools and processes for mobile app release and distribution Develop and release mobile applications efficiently and reliably Implement continuous testing with mobile DevOps Leverage Mobile DevSecOps to improve security, efficiency of your Mobile app development process Understand how Platform Engineering and IDP Teams can improve Developer Productivity in Mobile DevOps Identify and fix problems with mobile application performance and data usage Who this book is forThis book is for DevOps engineers looking to learn more about mobile DevOps to build effective processes for releasing mobile apps quickly and frequently. It’s also an excellent resource for mobile developers, mobile release managers, mobile architects, mobile platform engineers, and QA engineers, involved in mobile app development. Familiarity with DevOps and mobile app challenges related to testing, releasing, and monitoring especially at scale is a prerequisite.