Accelerating Software Quality Audiobook By Eran Kinsbruner cover art

Accelerating Software Quality

Machine Learning and Artificial Intelligence in the Age of DevOps

 Virtual Voice Sample

Try for $0.00
Access a growing selection of included Audible Originals, audiobooks, and podcasts.
You will get an email reminder before your trial ends.
Audible Plus auto-renews for $7.95/mo after 30 days. Upgrade or cancel anytime.

Accelerating Software Quality

By: Eran Kinsbruner
Narrated by: Virtual Voice
Try for $0.00

$7.95 a month after 30 days. Cancel anytime.

Buy for $9.99

Buy for $9.99

Confirm purchase
Pay using card ending in
Switch payment method
By confirming your purchase, you agree to Audible's Conditions of Use and Amazon's Privacy Notice. Taxes where applicable.
Cancel
Background images

This title uses virtual voice narration

Virtual voice is computer-generated narration for audiobooks.

About this listen

 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, chatbots 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 Computer Science Programming & Software Development Artificial Intelligence Data Science Machine Learning Software Software Development Robotics Programming
adbl_web_global_use_to_activate_webcro768_stickypopup

What listeners say about Accelerating Software Quality

Average customer ratings

Reviews - Please select the tabs below to change the source of reviews.

Audible.com reviews

Amazon reviews
No Reviews are Available