The ART of Automation: Leverage for companies, managers and testers

  • Publication Date: Fri Mar 15 2019 00:00:00 GMT+0000 (Coordinated Universal Time)
  • Language: English
  • ISBN: 1091973261
  • FileSize: 3471KB
  • total Page: 150 pages
In this book, you will find every ingredient to achieve and master „The ART of Automation”. Includes a Quick Start Guide to Full Software Automation with useful ideas and suggestions for IT companies, managers, and testers. Different levels and depths of automation results into my concept of 5 Levels of Automation, which I will introduce you, and take you through each level chapter by chapter. I tried my best to combine non-technical and simple descriptions with many technical points for engineers who would want to try out some of the ideas mentioned in this book. The first half is theoretical with conventional tools and techniques. The second half is full of examples and implementation guide in Cucumber, Selenium, Java, Python, and Deep Learning. 5 Levels of Automation described in this book with examples: Level 1 - Quality Assurance Level 2 - Full Automation Testing Level 3 - Robotic Process Automation Level 4 - Machine Learning Mastery Level 5 - Artificial Intelligence Kingdom It's light at the start, and gradually diving into more complex topics, such as: - Digital Transformation in companies, - Social Concerns regarding Automation, and How To Solve Them, - Preparation for Digital Transformation, - Quick Start Guide to Full Automation Testing, - Test Web Apps API, UI, Mobile, Performance, Security - Improvements - Suggestions and Hints, - BPM vs. RPA - Approaches and Examples, - Types of Machine Learning - Categories and Models, - Neural Networks - Deep Learning, Examples and Training, - Artificial Intelligence - Narrow, General, Soft, Hard. „The ART of Automation” is full of examples and is not aimed to frighten you. More than anything, it has an ambitious goal to prepare and encourage, motivate and give you a heads-up about some crucial questions that we will soon have to face.

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