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Author: Eran Kinsbruner
Publisher: Independently Published
ISBN:
Category :
Languages : en
Pages : 357
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Book Description
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
Author: Eran Kinsbruner
Publisher: Independently Published
ISBN:
Category :
Languages : en
Pages : 357
Get Book
Book Description
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
Author: Nicole Forsgren, PhD
Publisher: IT Revolution
ISBN: 1942788355
Category : Business & Economics
Languages : en
Pages : 244
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Book Description
Winner of the Shingo Publication Award Accelerate your organization to win in the marketplace. How can we apply technology to drive business value? For years, we've been told that the performance of software delivery teams doesn't matter―that it can't provide a competitive advantage to our companies. Through four years of groundbreaking research to include data collected from the State of DevOps reports conducted with Puppet, Dr. Nicole Forsgren, Jez Humble, and Gene Kim set out to find a way to measure software delivery performance―and what drives it―using rigorous statistical methods. This book presents both the findings and the science behind that research, making the information accessible for readers to apply in their own organizations. Readers will discover how to measure the performance of their teams, and what capabilities they should invest in to drive higher performance. This book is ideal for management at every level.
Author: W Eric Wong
Publisher: World Scientific
ISBN: 9814460737
Category : Computers
Languages : en
Pages : 308
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Book Description
This book focuses on the topic of improving software quality using adaptive control approaches. As software systems grow in complexity, some of the central challenges include their ability to self-manage and adapt at run time, responding to changing user needs and environments, faults, and vulnerabilities. Control theory approaches presented in the book provide some of the answers to these challenges. The book weaves together diverse research topics (such as requirements engineering, software development processes, pervasive and autonomic computing, service-oriented architectures, on-line adaptation of software behavior, testing and QoS control) into a coherent whole. Written by world-renowned experts, this book is truly a noteworthy and authoritative reference for students, researchers and practitioners to better understand how the adaptive control approach can be applied to improve the quality of software systems. Book chapters also outline future theoretical and experimental challenges for researchers in this area. Contents:Prioritizing Coverage-Oriented Testing Process — An Adaptive-Learning-Based Approach and Case Study (Fevzi Belli, Mubariz Eminov, Nida Gökçe & W Eric Wong)Statistical Evaluation Methods for V&V of Neuro-Adaptive Systems (Y Liu, J Schumann & B Cukic)Adaptive Random Testing (Dave Towey)Transparent Shaping: A Methodology for Adding Adaptive Behavior to Existing Software Systems and Applications (S Masoud Sadjadi, Philip K McKinley & Betty H C Cheng)Rule Extraction to Understand Changes in an Adaptive System (Marjorie A Darrah & Brian J Taylor)Requirements Engineering Via Lyqpunov Analysis for Adaptive Flight Control Systems (Giampiero Campa, Marco Mammarella, Mario L Fravolini & Bojan Cukic)Quantitative Modeling for Incremental Software Process Control (Scott D Miller, Raymond A DeCarlo & Aditya P Mathur)Proactive Monitoring and Control of Workflow Execution in Adaptive Service-based Systems (Stephen S Yau & Dazhi Huang)Accelerated Life Tests and Software Aging (Rivalino Matias Jr & Kishor S Trivedi) Readership: Students, researchers and practitioners in software engineering, as well as applied optimization and control theory. Keywords:Software Quality;Control;Software Cybernetics
Author: Peter Cronin
Publisher:
ISBN: 9780648936305
Category :
Languages : en
Pages :
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Book Description
Discover how to develop at Pace! Software development approaches have stalled - barely more efficient now than two decades ago. Yet software development has radically evolved. This book contains the blueprint for a new way to execute software development - one that finally brings planning and execution under control, so you can smoothly increase output without sacrificing code quality. You'll learn:>Why Agile has stalled and Sprints are the key cause. > How keeping everyone busy all the time is tremendously damaging. >Why current project management techniques inevitably lead to situations where you have a perfect storm of overdue old work, time-critical new work and zero spare resources. You'll discover how to use Pace - a new system for software development made up of 12 counterintuitive but proven rules that lets you scale without losing the magic. And you'll learn a simple decision-making toolset for making snap decisions that harness growth - even in the face of imperfect information. Pace gives you a comprehensive plan to turn your software development pipeline into a highly efficient machine without the chaos and indecision that so often accompanies high-speed growth.
Author: Eran Kinsbruner
Publisher: Createspace Independent Publishing Platform
ISBN: 9781727132175
Category :
Languages : en
Pages : 366
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Book Description
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 Testing 2. Continuous Testing for Web Apps 3. Continuous Testing for Mobile Apps 4. Advancing Continuous Testing All 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.
Author: Yair M. Altman
Publisher: CRC Press
ISBN: 1482211300
Category : Computers
Languages : en
Pages : 768
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Book Description
The MATLAB programming environment is often perceived as a platform suitable for prototyping and modeling but not for "serious" applications. One of the main complaints is that MATLAB is just too slow. Accelerating MATLAB Performance aims to correct this perception by describing multiple ways to greatly improve MATLAB program speed. Packed with tho
Author: Stephan Goericke
Publisher: Springer Nature
ISBN: 3030295095
Category : Computers
Languages : en
Pages : 272
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Book Description
This open access book, published to mark the 15th anniversary of the International Software Quality Institute (iSQI), is intended to raise the profile of software testers and their profession. It gathers contributions by respected software testing experts in order to highlight the state of the art as well as future challenges and trends. In addition, it covers current and emerging technologies like test automation, DevOps, and artificial intelligence methodologies used for software testing, before taking a look into the future. The contributing authors answer questions like: "How is the profession of tester currently changing? What should testers be prepared for in the years to come, and what skills will the next generation need? What opportunities are available for further training today? What will testing look like in an agile world that is user-centered and fast-paced? What tasks will remain for testers once the most important processes are automated?" iSQI has been focused on the education and certification of software testers for fifteen years now, and in the process has contributed to improving the quality of software in many areas. The papers gathered here clearly reflect the numerous ways in which software quality assurance can play a critical role in various areas. Accordingly, the book will be of interest to both professional software testers and managers working in software testing or software quality assurance.
Author: Daniel Mendez
Publisher: Springer Nature
ISBN: 3031041151
Category : Computers
Languages : en
Pages : 111
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Book Description
This book constitutes the refereed proceedings of the 14th Software Quality Days Conference, SWQD 2022, held in Vienna, Austria, during May 17-19, 2022. The Software Quality Days (SWQD) conference started in 2009 and has grown to the biggest conference on software quality in Europe. The program of the SWQD conference is designed to encompass a stimulating mixture of practical presentations and new research topics in scientific presentations. The guiding conference topic of the SWQD 2022 is “What's The Next Big Thing in Software Engineering and Quality?”. The 4 full papers presented in this volume were carefully reviewed and selected from 8 submissions. The contributions were organized in two topical sections named: AI in Software Engineering; and Quality Assurance for Software-Intensive Systems. The book also contains two invited talks.
Author: Jan Bosch
Publisher: Springer Nature
ISBN: 3031108736
Category : Computers
Languages : en
Pages : 447
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Book Description
This book celebrates the 10-year anniversary of Software Center (a collaboration between 18 European companies and five Swedish universities) by presenting some of the most impactful and relevant journal or conference papers that researchers in the center have published over the last decade. The book is organized around the five themes around which research in Software Center is organized, i.e. Continuous Delivery, Continuous Architecture, Metrics, Customer Data and Ecosystems Driven Development, and AI Engineering. The focus of the Continuous Delivery theme is to help companies to continuously build high quality products with the right degree of automation. The Continuous Architecture theme addresses challenges that arise when balancing the need for architectural quality and more agile ways of working with shorter development cycles. The Metrics theme studies and provides insight to understand, monitor and improve software processes, products and organizations. The fourth theme, Customer Data and Ecosystem Driven Development, helps companies make sense of the vast amounts of data that are continuously collected from products in the field. Eventually, the theme of AI Engineering addresses the challenge that many companies struggle with in terms of deploying machine- and deep-learning models in industrial contexts with production quality. Each theme has its own part in the book and each part has an introduction chapter and then a carefully selected reprint of the most important papers from that theme. This book mainly aims at researchers and advanced professionals in the areas of software engineering who would like to get an overview about the achievement made in various topics relevant for industrial large-scale software development and management – and to see how research benefits from a close cooperation between industry and academia.
Author: Deb Jacobs
Publisher: CRC Press
ISBN: 1420031155
Category : Business & Economics
Languages : en
Pages : 390
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Book Description
Accelerating Process Improvement Using Agile Techniques explains how agile programming is applied to standard process improvement. By applying agile techniques, IT organizations can speed up process improvement initiatives, minimize the resources these initiatives require, and maximize the benefits of process improvement. The book details st
