Have you ever felt frustrated working with someone else’s code? Difficult-to-maintain source code is a big problem in software development today, leading to costly delays and defects. Be part of the solution. With this practical book, you’ll learn 10 easy-to-follow guidelines for delivering C# software that’s easy to maintain and adapt. These guidelines have been derived from analyzing hundreds of real-world systems. Written by consultants from the Software Improvement Group (SIG), this book provides clear and concise explanations, with advice for turning the guidelines into practice. Examples for this edition are written in C#, while our companion Java book provides clear examples in that language. Write short units of code: limit the length of methods and constructors Write simple units of code: limit the number of branch points per method Write code once, rather than risk copying buggy code Keep unit interfaces small by extracting parameters into objects Separate concerns to avoid building large classes Couple architecture components loosely Balance the number and size of top-level components in your code Keep your codebase as small as possible Automate tests for your codebase Write clean code, avoiding "code smells" that indicate deeper problems

"Have you ever felt frustrated working with someone else's code? Difficult-to-maintain source code is a big problem in software development today, leading to costly delays and defects. Be part of the solution. With this practical book, you'll learn 10 easy-to-follow guidelines for delivering software that's easy to maintain and adapt. These guidelines have been derived from analyzing hundreds of real-world systems. Written by consultants from the Software Improvement Group (SIG), this book provides clear and concise explanations, with advice for turning the guidelines into practice. Examples for this edition are written in C#, while our companion Java book provides clear examples in that language"--

Have you ever felt frustrated working with someone else’s code? Difficult-to-maintain source code is a big problem in software development today, leading to costly delays and defects. Be part of the solution. With this practical book, you’ll learn 10 easy-to-follow guidelines for delivering Java software that’s easy to maintain and adapt. These guidelines have been derived from analyzing hundreds of real-world systems. Written by consultants from the Software Improvement Group (SIG), this book provides clear and concise explanations, with advice for turning the guidelines into practice. Examples for this edition are written in Java, while our companion C# book provides workable examples in that language. Write short units of code: limit the length of methods and constructors Write simple units of code: limit the number of branch points per method Write code once, rather than risk copying buggy code Keep unit interfaces small by extracting parameters into objects Separate concerns to avoid building large classes Couple architecture components loosely Balance the number and size of top-level components in your code Keep your codebase as small as possible Automate tests for your codebase Write clean code, avoiding "code smells" that indicate deeper problems

Enhance your programming skills through code reviews, TDD and BDD implementation, and API design to overcome code inefficiency, redundancy, and other issues arising from bad code Key Features Write code that seamlessly integrates with other systems while maintaining well-defined software boundaries Understand how coding principles and standards elevate software quality Learn how to avoid common errors while implementing concurrency or threading Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionTraditionally associated with Windows desktop applications and game development, C# has expanded into web, cloud, and mobile development. However, despite its extensive coding features, professionals often encounter issues with efficiency, scalability, and maintainability due to poor code. Clean Code in C# guides you in identifying and resolving these problems using coding best practices. This book starts by comparing good and bad code to emphasize the importance of coding standards, principles, and methodologies. It then covers code reviews, unit testing, and test-driven development, and addresses cross-cutting concerns. As you advance through the chapters, you’ll discover programming best practices for objects, data structures, exception handling, and other aspects of writing C# computer programs. You’ll also explore API design and code quality enhancement tools, while studying examples of poor coding practices to understand what to avoid. By the end of this clean code book, you’ll have the developed the skills needed to apply industry-approved coding practices to write clean, readable, extendable, and maintainable C# code.What you will learn Master the art of writing evolvable and adaptable code Implement the fail-pass-refactor methodology using a sample C# console application Develop custom C# exceptions that provide meaningful information Identify low-quality C# code in need of refactoring Improve code performance using profiling and refactoring tools Create efficient and bug-free code using functional programming techniques Write cross-platform code using MAUI Develop cloud-deployable microservices for versatile applications Who this book is for This coding book is for proficient C# developers, team leads, senior software engineers, and software architects who want to improve the efficiency of their legacy systems. A strong understanding of C# programming is assumed.

Enhance your programming skills by learning the intricacies of object oriented programming in C# 8 Key FeaturesUnderstand the four pillars of OOP; encapsulation, inheritance, abstraction and polymorphismLeverage the latest features of C# 8 including nullable reference types and Async StreamsExplore various design patterns, principles, and best practices in OOPBook Description Object-oriented programming (OOP) is a programming paradigm organized around objects rather than actions, and data rather than logic. With the latest release of C#, you can look forward to new additions that improve object-oriented programming. This book will get you up to speed with OOP in C# in an engaging and interactive way. The book starts off by introducing you to C# language essentials and explaining OOP concepts through simple programs. You will then go on to learn how to use classes, interfacesm and properties to write pure OOP code in your applications. You will broaden your understanding of OOP further as you delve into some of the advanced features of the language, such as using events, delegates, and generics. Next, you will learn the secrets of writing good code by following design patterns and design principles. You'll also understand problem statements with their solutions and learn how to work with databases with the help of ADO.NET. Further on, you'll discover a chapter dedicated to the Git version control system. As you approach the conclusion, you'll be able to work through OOP-specific interview questions and understand how to tackle them. By the end of this book, you will have a good understanding of OOP with C# and be able to take your skills to the next level. What you will learnMaster OOP paradigm fundamentals Explore various types of exceptions Utilize C# language constructs efficiently Solve complex design problems by understanding OOP Understand how to work with databases using ADO.NET Understand the power of generics in C#Get insights into the popular version control system, Git Learn how to model and design your softwareWho this book is for This book is designed for people who are new to object-oriented programming. Basic C# skills are assumed, however, prior knowledge of OOP in any other language is not required.

This book constitutes revised selected papers from the refereed proceedings of the 17th Colombian Conference on Computing on Advances in Computing, CCC 2023, held in Medellin, Colombia, during August 10–11, 2023. The 22 full papers and 11 short papers included in this book were carefully reviewed and selected from 68 submissions. They were organized in topical sections as follows: Industrial Applications - Industry 4.0 - Precision Agriculture, Artificial Intelligence, Distributed systems and large-scale computing, Computational Statistics, Digital Learning - E-learning, Software Engineering, Human Machine Interaction, Image processing and Computer Vision, Robotics in Industry 4.0 and Scientific Applications.

“This is an incredibly wise and useful book. The authors have considerable real-world experience in delivering quality systems that matter, and their expertise shines through in these pages. Here you will learn what technical debt is, what is it not, how to manage it, and how to pay it down in responsible ways. This is a book I wish I had when I was just beginning my career. The authors present a myriad of case studies, born from years of experience, and offer a multitude of actionable insights for how to apply it to your project.” –Grady Booch, IBM Fellow Master Best Practices for Managing Technical Debt to Promote Software Quality and Productivity As software systems mature, earlier design or code decisions made in the context of budget or schedule constraints increasingly impede evolution and innovation. This phenomenon is called technical debt, and practical solutions exist. In Managing Technical Debt, three leading experts introduce integrated, empirically developed principles and practices that any software professional can use to gain control of technical debt in any software system. Using real-life examples, the authors explain the forms of technical debt that afflict software-intensive systems, their root causes, and their impacts. They introduce proven approaches for identifying and assessing specific sources of technical debt, limiting new debt, and “paying off” debt over time. They describe how to establish managing technical debt as a core software engineering practice in your organization. Discover how technical debt damages manageability, quality, productivity, and morale–and what you can do about it Clarify root causes of debt, including the linked roles of business goals, source code, architecture, testing, and infrastructure Identify technical debt items, and analyze their costs so you can prioritize action Choose the right solution for each technical debt item: eliminate, reduce, or mitigate Integrate software engineering practices that minimize new debt Managing Technical Debt will be a valuable resource for every software professional who wants to accelerate innovation in existing systems, or build new systems that will be easier to maintain and evolve.

This book presents a new paradigm of software testing by emphasizing the role of critical thinking, system thinking and rationality as the most important skills for the tester. It thus approaches software testing from a different perspective than in past literature, as the vast majority of books describe testing in the context of specific tools, automation, documentation, particular test design techniques or test management. In addition, the book proposes a novel meta-approach for designing effective test strategies, which is based on recent advances in psychology, economics, system sciences and logic. Chapter 1 starts by introducing the fundamental ideas underlying software testing. Chapter 2 then describes meta-strategies in software testing, i.e. general approaches that can be adapted to many different situations that a software tester encounters. Next, Chapter 3 presents the concept of Thinking-Driven Testing (TDT). This approach utilizes the concepts discussed in the two previous chapters and introduces the main ideas that underlie a reasonable and optimal approach to software testing. Chapter 4 builds on this basis and proposes a specific approach to testing, called TQED, that makes it possible to increase creativity in the context of delivering effective, optimal test ideas. Chapter 5 provides an overview of different types of testing techniques in order to understand the fundamental concepts of test design, while Chapter 6 details various pitfalls a tester may encounter and that can originate from a wide range of testing process areas. Lastly, Chapter 7 puts all this into practice, as it contains several exercises that will help testers develop a number of crucial skills: logical thinking and reasoning, thinking out of the box, creativity, counting and estimating, and analytical thinking. By promoting critical, rational and creative thinking, this book invites readers to re-examine common assumptions regarding software testing and shows them how to become professional testers who bring added value to their company.

EBOOK: Object-Oriented Software Engineering: Practical Software Development Using UML and Java

Design scalable and high-performance enterprise applications using the latest features of C# 9 and .NET 5 Key FeaturesGain fundamental and comprehensive software architecture knowledge and the skillset to create fully modular appsDesign high-performance software systems using the latest features of .NET 5 and C# 9Solve scalability problems in web apps using enterprise architecture patternsBook Description Software architecture is the practice of implementing structures and systems that streamline the software development process and improve the quality of an app. This fully revised and expanded second edition, featuring the latest features of .NET 5 and C# 9, enables you to acquire the key skills, knowledge, and best practices required to become an effective software architect. This second edition features additional explanation of the principles of Software architecture, including new chapters on Azure Service Fabric, Kubernetes, and Blazor. It also includes more discussion on security, microservices, and DevOps, including GitHub deployments for the software development cycle. You will begin by understanding how to transform user requirements into architectural needs and exploring the differences between functional and non-functional requirements. Next, you will explore how to carefully choose a cloud solution for your infrastructure, along with the factors that will help you manage your app in a cloud-based environment. Finally, you will discover software design patterns and various software approaches that will allow you to solve common problems faced during development. By the end of this book, you will be able to build and deliver highly scalable enterprise-ready apps that meet your organization’s business requirements. What you will learnUse different techniques to overcome real-world architectural challenges and solve design consideration issuesApply architectural approaches such as layered architecture, service-oriented architecture (SOA), and microservicesLeverage tools such as containers, Docker, Kubernetes, and Blazor to manage microservices effectivelyGet up to speed with Azure tools and features for delivering global solutionsProgram and maintain Azure Functions using C# 9 and its latest featuresUnderstand when it is best to use test-driven development (TDD) as an approach for software developmentWrite automated functional test casesGet the best of DevOps principles to enable CI/CD environmentsWho this book is for This book is for engineers and senior software developers aspiring to become architects or looking to build enterprise applications with the .NET Stack. Basic familiarity with C# and .NET is required to get the most out of this book.