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What makes the world's leading engineering and QA teams so successful? Learn from Google, Etsy, The New York Times, GitHub, King, HelloFresh and many more. Leading Quality is the ultimate guide to becoming a leader of quality, mastering strategic decisions and enabling your team to accelerate growth.
Are you working on a codebase where cost overruns, death marches, and heroic fights with legacy code monsters are the norm? Battle these adversaries with novel ways to identify and prioritize technical debt, based on behavioral data from how developers work with code. And that's just for starters. Because good code involves social design, as well as technical design, you can find surprising dependencies between people and code to resolve coordination bottlenecks among teams. Best of all, the techniques build on behavioral data that you already have: your version-control system. Join the fight for better code! Use statistics and data science to uncover both problematic code and the behavioral patterns of the developers who build your software. This combination gives you insights you can't get from the code alone. Use these insights to prioritize refactoring needs, measure their effect, find implicit dependencies between different modules, and automatically create knowledge maps of your system based on actual code contributions. In a radical, much-needed change from common practice, guide organizational decisions with objective data by measuring how well your development teams align with the software architecture. Discover a comprehensive set of practical analysis techniques based on version-control data, where each point is illustrated with a case study from a real-world codebase. Because the techniques are language neutral, you can apply them to your own code no matter what programming language you use. Guide organizational decisions with objective data by measuring how well your development teams align with the software architecture. Apply research findings from social psychology to software development, ensuring you get the tools you need to coach your organization towards better code. If you're an experienced programmer, software architect, or technical manager, you'll get a new perspective that will change how you work with code. What You Need: You don't have to install anything to follow along in the book. TThe case studies in the book use well-known open source projects hosted on GitHub. You'll use CodeScene, a free software analysis tool for open source projects, for the case studies. We also discuss alternative tooling options where they exist.
With this practical book, architects, CTOs, and CIOs will learn a set of patterns for the practice of architecture, including analysis, documentation, and communication. Author Eben Hewitt shows you how to create holistic and thoughtful technology plans, communicate them clearly, lead people toward the vision, and become a great architect or Chief Architect. This book covers each key aspect of architecture comprehensively, including how to incorporate business architecture, information architecture, data architecture, application (software) architecture together to have the best chance for the system’s success. Get a practical set of proven architecture practices focused on shipping great products using architecture Learn how architecture works effectively with development teams, management, and product management teams through the value chain Find updated special coverage on machine learning architecture Get usable templates to start incorporating into your teams immediately Incorporate business architecture, information architecture, data architecture, and application (software) architecture together
Use Roslyn as a service to write powerful extensions and tools and use them in Visual Studio to improve code quality and maintain your source code more effectively. About This Book Use Roslyn extensions and tools in Visual Studio to enforce "house rules" on code and fix security and performance vulnerabilities in your code. Write Roslyn extensions using the Roslyn service API to help developers enforce conventions and design idioms. Improve developer productivity by using Roslyn-based agile development features in Visual Studio, such as live unit testing, C# interactive and scripting. Contribute to the C# language and compiler tool chain to analyze and edit code. Who This Book Is For .NET Developers and architects, who are interested in taking full advantage of the Roslyn based extensions and tools to improve the development processes, will find this book useful. Roslyn contributors, i.e. the producers and C# community developers, will also find this book useful What You Will Learn Write extensions to analyze source code and report warnings and errors. Edit C# source code to fix compiler/analyzer diagnostics or refactor source code. Improve code maintenance and readability by using analyzers and code fixes. Catch security and performance issues by using PUMA scan analyzers and FxCop analyzers. Perform Live Unit tests in Visual Studio. Use C# interactive and scripting in Visual Studio. Design a new C# language feature and implement various compiler phases for a new language feature. Write command line tools to analyze and edit C# code. In Detail Open-sourcing the C# and Visual Basic compilers is one of the most appreciated things by the .NET community, especially as it exposes rich code analysis APIs to analyze and edit code. If you want to use Roslyn API to write powerful extensions and contribute to the C# developer tool chain, then this book is for you. Additionally, if you are just a .NET developer and want to use this rich Roslyn-based functionality in Visual Studio to improve the code quality and maintenance of your code base, then this book is also for you. This book is divided into the following broad modules: Writing and consuming analyzers/fixers (Chapters 1 - 5): You will learn to write different categories of Roslyn analyzers and harness and configure analyzers in your C# projects to catch quality, security and performance issues. Moving ahead, you will learn how to improve code maintenance and readability by using code fixes and refactorings and also learn how to write them. Using Roslyn-based agile development features (Chapters 6 and 7): You will learn how to improve developer productivity in Visual Studio by using features such as live unit testing, C# interactive and scripting. Contributing to the C# language and compiler tool chain (Chapters 8 - 10): You will see the power of open-sourcing the Roslyn compiler via the simple steps this book provides; thus, you will contribute a completely new C# language feature and implement it in the Roslyn compiler codebase. Finally, you will write simple command line tools based on the Roslyn service API to analyze and edit C# code. Style and approach This book takes a recipe-based approach, teaching you how to perform various hacks with the Compiler API in your hands.
Everything you need to know to be a Modern CTO. Developers are not CTOs, but developers can learn how to be CTOs. In Modern CTO, Joel Beasely provides readers with an in-depth road map on how to successfully navigate the unexplored and jagged transition between these two roles. Drawing from personal experience, Joel gives a refreshing take on the challenges, lessons, and things to avoid on this journey. Readers will learn how Modern CTOs: Manage deadlines Speak up Know when to abandon ship and build a better one Deal with poor code Avoid getting lost in the product and know what UX mistakes to watch out for Manage people and create momentum ... plus much more Modern CTO is the ultimate guidebook on how to kick start your career and go from developer to CTO.
Reengineer .NET Code to Improve Quality, Update Architecture, Access New Tools, and Accelerate Delivery of New Features As software ages, it becomes brittle: difficult to understand, fix, manage, use, and improve. Developers working with many platforms have encountered this problem; now, developers working with Microsoft’s .NET are facing it as well. In Reengineering .NET, leading .NET architect Bradley Irby introduces proven best practices for revitalizing older .NET code and integrating new architectural and development advances into business-critical systems that can’t go offline. Using a step-by-step approach, .NET professionals can make legacy enterprise software more reliable, maintainable, attractive, and usable—and make it easier to upgrade for years to come. Through real-world case studies and extensive downloadable sample code, Irby shows how to carefully plan a .NET reengineering project, understand the true current state of your code, introduce unit testing and other agile methods, refactor to services and controllers, and leverage powerful .NET reengineering tools built into Microsoft Visual Studio 2012. This book is an indispensable resource for all developers, architects, and project managers responsible for existing .NET code bases and for a wide audience of non-technical managers and CTOs who want to understand the unique challenges faced by .NET teams involved in application or system reengineering projects. Coverage includes • Migrating legacy .NET software to more flexible, extensible, and maintainable architectures—without breaking it • Reengineering web applications with the MVC pattern, Winforms software with MVP, and WPF/Silverlight systems with MVVM • Asking the right questions to predict refactoring problems before they happen • Planning and organizing reengineering projects to apply the right expertise to each task at the right time • Using innovative Test Doubling to make unit testing even more effective • Applying Dependency Inversion to break tight coupling and promote easier development and testing • Leveraging source control, defect tracking, and continuous integration • “Cleaning up” legacy solutions to improve them before you even touch business logic • Establishing solid development infrastructure to support your reengineering project • Refactoring to services—including advanced techniques using Repositories, Domain Models, and the Command Dispatcher • Refactoring to controller/view or ViewModel/View pairs
Many claims are made about how certain tools, technologies, and practices improve software development. But which claims are verifiable, and which are merely wishful thinking? In this book, leading thinkers such as Steve McConnell, Barry Boehm, and Barbara Kitchenham offer essays that uncover the truth and unmask myths commonly held among the software development community. Their insights may surprise you. Are some programmers really ten times more productive than others? Does writing tests first help you develop better code faster? Can code metrics predict the number of bugs in a piece of software? Do design patterns actually make better software? What effect does personality have on pair programming? What matters more: how far apart people are geographically, or how far apart they are in the org chart? Contributors include: Jorge Aranda Tom Ball Victor R. Basili Andrew Begel Christian Bird Barry Boehm Marcelo Cataldo Steven Clarke Jason Cohen Robert DeLine Madeline Diep Hakan Erdogmus Michael Godfrey Mark Guzdial Jo E. Hannay Ahmed E. Hassan Israel Herraiz Kim Sebastian Herzig Cory Kapser Barbara Kitchenham Andrew Ko Lucas Layman Steve McConnell Tim Menzies Gail Murphy Nachi Nagappan Thomas J. Ostrand Dewayne Perry Marian Petre Lutz Prechelt Rahul Premraj Forrest Shull Beth Simon Diomidis Spinellis Neil Thomas Walter Tichy Burak Turhan Elaine J. Weyuker Michele A. Whitecraft Laurie Williams Wendy M. Williams Andreas Zeller Thomas Zimmermann
& Includes a detailed case study - with complete source code - of building Web Services with Java AND .Net. & & Covers key emerging standards in transactioning, conversations, workflow, security and authentication, mobile and wireless, QoS, portlets, and management. & & Presents best practices based on authors' experiences building real world Web Services-based applications.
Managing people is difficult wherever you work. But in the tech industry, where management is also a technical discipline, the learning curve can be brutal—especially when there are few tools, texts, and frameworks to help you. In this practical guide, author Camille Fournier (tech lead turned CTO) takes you through each stage in the journey from engineer to technical manager. From mentoring interns to working with senior staff, you’ll get actionable advice for approaching various obstacles in your path. This book is ideal whether you’re a new manager, a mentor, or a more experienced leader looking for fresh advice. Pick up this book and learn how to become a better manager and leader in your organization. Begin by exploring what you expect from a manager Understand what it takes to be a good mentor, and a good tech lead Learn how to manage individual members while remaining focused on the entire team Understand how to manage yourself and avoid common pitfalls that challenge many leaders Manage multiple teams and learn how to manage managers Learn how to build and bootstrap a unifying culture in teams
This is the digital version of the printed book (Copyright © 1996). Written in a remarkably clear style, Creating a Software Engineering Culture presents a comprehensive approach to improving the quality and effectiveness of the software development process. In twenty chapters spread over six parts, Wiegers promotes the tactical changes required to support process improvement and high-quality software development. Throughout the text, Wiegers identifies scores of culture builders and culture killers, and he offers a wealth of references to resources for the software engineer, including seminars, conferences, publications, videos, and on-line information. With case studies on process improvement and software metrics programs and an entire part on action planning (called “What to Do on Monday”), this practical book guides the reader in applying the concepts to real life. Topics include software culture concepts, team behaviors, the five dimensions of a software project, recognizing achievements, optimizing customer involvement, the project champion model, tools for sharing the vision, requirements traceability matrices, the capability maturity model, action planning, testing, inspections, metrics-based project estimation, the cost of quality, and much more! Principles from Part 1 Never let your boss or your customer talk you into doing a bad job. People need to feel the work they do is appreciated. Ongoing education is every team member’s responsibility. Customer involvement is the most critical factor in software quality. Your greatest challenge is sharing the vision of the final product with the customer. Continual improvement of your software development process is both possible and essential. Written software development procedures can help build a shared culture of best practices. Quality is the top priority; long-term productivity is a natural consequence of high quality. Strive to have a peer, rather than a customer, find a defect. A key to software quality is to iterate many times on all development steps except coding: Do this once. Managing bug reports and change requests is essential to controlling quality and maintenance. If you measure what you do, you can learn to do it better. You can’t change everything at once. Identify those changes that will yield the greatest benefits, and begin to implement them next Monday. Do what makes sense; don’t resort to dogma.