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.

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.

Learn how to incorporate your own conversational interfaces into iOS applications. This book will help you work comfortably multiple frameworks, including Apple's Speech and SiriKit frameworks; Google's API.AI conversational interfaces platform; and Facebook’s Wit.ai. You'll explore the basics of natural language processing on iOS and see how to develop sentiment analysis with Apple's new Core ML framework. You'll also understand the primary challenges of conversational interfaces, and how to future proof your design. With the introduction of SiriKit and the Speech framework, iOS developers now have huge opportunities to incorporate conversational interfaces into their apps. The latest advancements in natural language processing and machine learning allow for the development of complex conversational interfaces. This book incorporates all aspects of conversational interfaces on iOS—from voice transcription to natural language processing and entities extraction to text to speech commands. What You'll Learn Integrate intelligent voice interfaces into iOS applications Use frameworks to enable voice reactive iOS applications Future proof your interface by understanding the expected future trends of voice recognition Who This Book Is For Primarily iOS developers, product and innovation managers, and UX experts. It will also be helpful to all developers/managers that want to provide conversational interfaces in their apps.

An Approach to Modelling Software Evolution Processes describes formal software processes that effectively support software evolution. The importance and popularity of software evolution increase as more and more successful software systems become legacy systems. For one thing, software evolution has become an important characteristic in the software life cycle; for another, software processes play an important role in increasing efficiency and quality of software evolution. Therefore, the software evolution process, the inter-discipline of software process and software evolution, becomes a key area in software engineering. The book is intended for software engineers and researchers in computer science. Prof. Tong Li earned his Ph.D. in Software Engineering at De Montfort University, U.K.; he has published five monographs and over one hundred papers.

Dive into the world of software engineering and project management with this comprehensive guide designed to help you excel in technical interviews. Authored by Aditya, a seasoned Java, J2EE, and Cloud native architect with over two decades of industry experience, this book is a treasure trove of insights, questions, and detailed answers across key domains. Spanning 530 questions categorized into six essential sections—Project Management, Software Analysis and Design, Software Development Life Cycle (SDLC), Software Engineering, Agile Scrum, and Software Release and Configuration Management—each section offers a deep dive into critical concepts and methodologies. Whether you're a seasoned professional looking to brush up on your skills or a job seeker preparing for interviews, this book equips you with the knowledge and confidence needed to tackle even the most challenging technical interviews. From agile methodologies to cloud-native solutions, and from project planning to deployment strategies, every question is meticulously crafted to enhance your understanding and problem-solving abilities. With practical examples, real-world scenarios, and expert advice, "Mastering Software Engineering Interviews" bridges the gap between theory and practice. It not only prepares you for technical screenings but also enriches your understanding of industry best practices and emerging trends. Ideal for software engineers, project managers, and IT professionals at all career stages, this book serves as an invaluable resource to navigate the complexities of modern software development. Gain insights, refine your skills, and elevate your career with this definitive guide to mastering software engineering interviews.

This open access book presents the outcomes of the “Design for Future – Managed Software Evolution” priority program 1593, which was launched by the German Research Foundation (“Deutsche Forschungsgemeinschaft (DFG)”) to develop new approaches to software engineering with a specific focus on long-lived software systems. The different lifecycles of software and hardware platforms lead to interoperability problems in such systems. Instead of separating the development, adaptation and evolution of software and its platforms, as well as aspects like operation, monitoring and maintenance, they should all be integrated into one overarching process. Accordingly, the book is split into three major parts, the first of which includes an introduction to the nature of software evolution, followed by an overview of the specific challenges and a general introduction to the case studies used in the project. The second part of the book consists of the main chapters on knowledge carrying software, and cover tacit knowledge in software evolution, continuous design decision support, model-based round-trip engineering for software product lines, performance analysis strategies, maintaining security in software evolution, learning from evolution for evolution, and formal verification of evolutionary changes. In turn, the last part of the book presents key findings and spin-offs. The individual chapters there describe various case studies, along with their benefits, deliverables and the respective lessons learned. An overview of future research topics rounds out the coverage. The book was mainly written for scientific researchers and advanced professionals with an academic background. They will benefit from its comprehensive treatment of various topics related to problems that are now gaining in importance, given the higher costs for maintenance and evolution in comparison to the initial development, and the fact that today, most software is not developed from scratch, but as part of a continuum of former and future releases.

This book constitutes selected, revised and extended papers of the 15th International Conference on Evaluation of Novel Approaches to Software Engineering, ENASE 2020, held in virtual format, in May 2020. The 19 revised full papers presented were carefully reviewed and selected from 96 submissions. The papers included in this book contribute to the understanding of relevant trends of current research on novel approaches to software engineering for the development and maintenance of systems and applications, specically with relation to: model-driven software engineering, requirements engineering, empirical software engineering, service-oriented software engineering, business process management and engineering, knowledge management and engineering, reverse software engineering, software process improvement, software change and configuration management, software metrics, software patterns and refactoring, application integration, software architecture, cloud computing, and formal methods.

According to the laws of software evolution, software structure tends to degrade over time and cause future evolution to be even more difficult. Managing software evolution right from initial design through its evolution stages is important to ensure the final software product maintains its architectural integrity. Placing precise and timely software evolution information in the hands of the domain experts will allow accurate project and risk management while at the same time establishing clear accountabilities and guidelines. Current Software Evolution Management (SEM) infrastructures based on Software Configuration Management (SCM) lack product knowledge and deeper semantic understanding thus making it harder to effectively apply software metrics and feedback control systems that truly reflect the product and process needs. The disconnection of product knowledge in SCM prevents software practitioners from continually working with the logical design models through the implementation phases thus leads to widening software design and implementation gaps. Software process and product views should be closely linked in order to better manage and improve software quality. A SEM infrastructure is proposed that leverages the current state of SCM, incorporating application domain knowledge, a rich data model and a coherent process model that can be used to preserve the architectural integrity of the evolving software. My solution is Object-oriented Software Semantic Evolution Management (OSSEM), a SEM model and infrastructure with integral support for continuous modelling, applying software measurements and customisable feedback control systems to facilitate early detection of software design erosion. The infrastructure promotes extensibility by supporting custom metadata to define additional semantic artefacts, metrics policies to inject custom measurements and change policies to monitor quality attributes. I believe OSSEM unifies the software process and product perspectives; allows for more tacit knowledge to be made explicit and managed; empowers teams to be more context-aware during software maintenance or evolution activities; and overall provides guidance and governance to minimise software erosion in evolving systems.

It is often assumed that software testing is based on clearly defined requirements and software development standards. However, testing is typically performed against changing, and sometimes inaccurate, requirements. The third edition of a bestseller, Software Testing and Continuous Quality Improvement, Third Edition provides a continuous quality framework for the software testing process within traditionally structured and unstructured environments. This framework aids in creating meaningful test cases for systems with evolving requirements. This completely revised reference provides a comprehensive look at software testing as part of the project management process, emphasizing testing and quality goals early on in development. Building on the success of previous editions, the text explains testing in a Service Orientated Architecture (SOA) environment, the building blocks of a Testing Center of Excellence (COE), and how to test in an agile development. Fully updated, the sections on test effort estimation provide greater emphasis on testing metrics. The book also examines all aspects of functional testing and looks at the relation between changing business strategies and changes to applications in development. Includes New Chapters on Process, Application, and Organizational Metrics All IT organizations face software testing issues, but most are unprepared to manage them. Software Testing and Continuous Quality Improvement, Third Edition is enhanced with an up-to-date listing of free software tools and a question-and-answer checklist for choosing the best tools for your organization. It equips you with everything you need to effectively address testing issues in the most beneficial way for your business.