Bøger af Eran Kinsbruner

The book "Accelerating Software Quality: Machine Learning and Artificial Intelligence in the Age of DevOps" is a complete asset for software developers, testers, and managers that are on their journey to a more mature DevOps workflow, and struggle with better automation and data-driven decision making. DevOps is a mature process across the entire market, however, with existing Non-AI/ML technologies and models, it comes short in expediting release cycle, identifying productivity gaps and addressing them. This book, that was implemented by myself with the help of leaders from the DevOps and test automation space, is covering topics from basic introduction to AI and ML in software development and testing, implications of AI and ML on existing apps, processes, and tools, practical tips in applying commercial and open-source AI/ML tools within existing tool chain, chat-bots testing, visual based testing using AI, automated security scanning for vulnerabilities, automated code reviews, API testing and management using AI/ML, reducing effort and time through test impact analysis (TIA), robotic process automation (RPA), AIOps for smarter code deployments and production defects prevention, and many more.When properly leveraging such tools, DevOps teams can benefit from greater code quality and functional and non-functional test automation coverage. This increases their release cycle velocity, reduces noise and software waste, and enhances their app quality.The book is divided into 3 main sections: -Section 1 covers the fundamentals of AI and ML in software development and testing. It includes introductions, definitions, 101 for testing AI-Based applications, classifications of AI/ML and defects that are tied to AI/ML, and more.-Section 2 focuses on practical advises and recommendations for using AI/ML based solutions within software development activities. This section includes topics like visual AI test automation, AI in test management, testing conversational AI applications, RPA benefits, API testing and much more.-Section 3 covers the more advanced and future-looking angles of AI and ML with projections and unique use cases. Among the topics in this section are AI and ML in logs observability, AIOps benefits to an entire DevOps teams, how to maintain AI/ML test automation, Test impact analysis with AI, and more.The book is packed with many proven best practices, real life examples, and many other open source and commercial solution recommendations that are set to shape the future of DevOps together with ML/AI

Continuous Testing for DevOps Professionals is the definitive guide for DevOps teams and covers the best practices required to excel at Continuous Testing (CT) at each step of the DevOps pipeline. It was developed in collaboration with top industry experts from across the DevOps domain from leading companies such as CloudBees, Tricentis, Testim.io, Test.ai, Perfecto, and many more.The book is aimed at all DevOps practitioners, including software developers, testers, operations managers, and IT/business executives. It consists of 4 sections:1. Fundamentals of Continuous Testing2. Continuous Testing for Web Apps3. Continuous Testing for Mobile Apps4. Advancing Continuous TestingAll profits from Continuous Testing for DevOps Professionals will be donated to code.org, which is a nonprofit dedicated to expanding access to computer science in schools and increasing participation by women and underrepresented minorities.

As mobile and web technologies continue to expand and basically drives large organizational business in virtually every vertical or industry, it is critical to understand how to take existing release practices for mobile and web apps to the next level, including software development life cycle (SDLC), tools, quality, etc.Organizations which are already enjoying the power of digital are still struggling with various challenges that can be related to many factors, such as: SDLC and processes maturityExpanding test coverage to include more non-functional testing, user condition testing, etc.Coping with existing limitations of open source tools and frameworksSustaining correctly sized and up-to-date mobile test labsGetting proper quality insights upon each test cycle prior and post productionBranching wisely cross-platform and cross-feature test suitesThe issues above are just a few out of probably many others existing today. However, this book tackles those and provide working best practices to overcome them.Each chapter in this book addresses a key challenge and provides practical examples and real life "recipes" to overcome the difficulties and eventually help other organizations who might be facing the same difficulties.

Discover expert tips and best practices for maximizing the efficacy of various test automation frameworks and gain a better understanding of their capabilities for your web projectsKey Features:Explore the progressive features of the most advanced cross-browser test automation frameworksFormulate a solid testing strategy and strengthen your test coverage by selecting the right toolsRealize the future of cross-browser test automation and the use of AI and low-code in testingBook Description:Testing web applications during a sprint poses a challenge for frontend web app developers, which can be overcome by harnessing the power of new, open source cross-browser test automation frameworks. This book will introduce you to a range of leading, powerful frameworks, such as Selenium, Cypress, Puppeteer, and Playwright, and serve as a guide to leveraging their test coverage capability. You'll learn essential concepts of web testing and get an overview of the different web automation frameworks in order to integrate them into your frontend development workflow. Throughout the book, you'll explore the unique features of top open source test automation frameworks, as well as their trade-offs, and learn how to set up each of them to create tests that don't break with changes in the app.By the end of this book, you'll not only be able to choose the framework that best suits your project needs but also create your initial JavaScript-based test automation suite. This will enable fast feedback upon code changes and increase test automation reliability. As the open source market for these frameworks evolves, this guide will help you to continuously validate your project needs and adapt to the changes.What You Will Learn:Choose the ideal tool or combination of tools for testing your appContinuously monitor the market and ensure that your developers are using the right toolsAdvance test automation for your web app with sophisticated capabilitiesMeasure both code coverage and test coverage to assess your web application qualityMeasure the success and maturity of web application qualityUnderstand the trade-offs in tool selection and the associated risksBuild Cypress, Selenium, Playwright, and Puppeteer projects from scratchExplore low-code testing tools for web appsWho this book is for:If you are a frontend developer working with popular frameworks, such as Vue or React, and want to develop testing skills by learning the essentials of test automation, this book is for you. An intermediate-level understanding of JavaScript and frontend development is assumed.