Es wurden 40 Produkte zu dem Suchbegriff adbdebugging in 7 Shops gefunden:

Debugging Tasse Der Debugging Tasse ist das perfekte Geschenk für jeden Programmierer. Sie ist aus Keramik gefertigt und fasst etwa 300 ml. Die Oberfläche ziert eine humorvolle und treffende Definition von Debugging, die jedem Informatiker aus der Seele spricht: Debugging ist wie ein Krimi, in dem man gleichzeitig der Detektiv und der Mörder ist. Dies spiegelt die alltäglichen Herausforderungen und die innere Auseinandersetzung eines Programmierers wider. Die Tasse ist spülmaschinenfest und eignet sich ideal für den täglichen Gebrauch oder als originelles Büroaccessoire. Mit einem Fassungsvermögen von etwa 300 ml ist sie ideal für Kaffee oder Tee und unterstützt die Konzentration während langer Programmiersessions. Merkmale im Überblick Themenspezifisches Design: Ein spezielles Design, das Programmierer und Technikbegeisterte anspricht und Humor

*The Debugging * - The 9 Indispensable Rules for Finding Even the Most Elusive Software and Hardware Problems / 20.49€ / Taschenbuch

Combining the best features of C, UNIX utilities, and regular expressions, Perl has grown as one of the most powerful and popular scripting languages. The valuable Perl is often used for system administration, text processing and Web programming. It is even being used for more exotic areas, like bioinformatics. Perl is supported by all of the most prominent operating systems, including Windows, Unix, OS/2, Amiga, and others. Pro Perl Debugging steps in to help resolve the dilemma of application testing and debugging—one of the biggest time commitments in a programmers daily routine. What this book will do is rescue you from substandard application testing practices. The book commences with several chapters that overview the debuggers basic features, then covers common debugging scenarios. The concluding portion examines debugger customization, alternative debugging utilities, and debugging best practices.

Combining the best features of C, UNIX utilities, and regular expressions, Perl has grown as one of the most powerful and popular scripting languages. The valuable Perl is often used for system administration, text processing and Web programming. It is even being used for more exotic areas, like bioinformatics. Perl is supported by all of the most prominent operating systems, including Windows, Unix, OS/2, Amiga, and others. Pro Perl Debugging steps in to help resolve the dilemma of application testing and debugging—one of the biggest time commitments in a programmers daily routine. What this book will do is rescue you from substandard application testing practices. The book commences with several chapters that overview the debuggers basic features, then covers common debugging scenarios. The concluding portion examines debugger customization, alternative debugging utilities, and debugging best practices.

*The Art of Debugging with GDB DDD and Eclipse * / 31.49€ / ebook

Overhaul your debugging techniques and master the theory and tools needed to debug and troubleshoot cloud applications in production environments. This book teaches debugging skills that universities often avoid, but that typically consume as much as 60% of our time as developers. The book covers the use of debugger features such as tracepoints, object marking, watch renderers, and more. Author Shai Almog presents a scientific approach to debugging that is grounded in theory while being practical enough to help you to chase stubborn bugs through the maze of a Kubernetes deployment. Practical Debugging at Scale assumes a polyglot environment as is common for most enterprises, but focuses on JVM environments. Most of the tooling and techniques described are applicable to Python, Node, and other platforms, as well as to Java and other JVM languages. The book specifically covers debugging in production, an often-neglected discipline but an all too painful reality. You’ll learn modern techniques around observability, monitoring, logging, and full stack debugging that you can put to immediate use in troubleshooting common ailments in production environments. You Will Learn: The scientific method underlying the process of debugging Debugger capabilities such as tracepoints and marker objects The correct use of less understood features such as exception breakpoints Techniques for tracing issues in production Kubernetes environments Observability and monitoring to resolve production problems Industry best practices for common tooling such as logging Profiling to understand performance and memory problems Who This Book Is For Developers in Java and JVM-related languages who want to improve their debugging skills and production reliability;and developers of cloud applications who are facing the pain of production bugs that are hard to replicate and fix

Overhaul your debugging techniques and master the theory and tools needed to debug and troubleshoot cloud applications in production environments. This book teaches debugging skills that universities often avoid, but that typically consume as much as 60% of our time as developers. The book covers the use of debugger features such as tracepoints, object marking, watch renderers, and more. Author Shai Almog presents a scientific approach to debugging that is grounded in theory while being practical enough to help you to chase stubborn bugs through the maze of a Kubernetes deployment. Practical Debugging at Scale assumes a polyglot environment as is common for most enterprises, but focuses on JVM environments. Most of the tooling and techniques described are applicable to Python, Node, and other platforms, as well as to Java and other JVM languages. The book specifically covers debugging in production, an often-neglected discipline but an all too painful reality. You’ll learn modern techniques around observability, monitoring, logging, and full stack debugging that you can put to immediate use in troubleshooting common ailments in production environments. You Will Learn: The scientific method underlying the process of debugging Debugger capabilities such as tracepoints and marker objects The correct use of less understood features such as exception breakpoints Techniques for tracing issues in production Kubernetes environments Observability and monitoring to resolve production problems Industry best practices for common tooling such as logging Profiling to understand performance and memory problems Who This Book Is For Developers in Java and JVM-related languages who want to improve their debugging skills and production reliability;and developers of cloud applications who are facing the pain of production bugs that are hard to replicate and fix

Der Debugging-Adapter für die Fehlersuche am Raspi Pico ist mit dem RP2040-Chip bestückt und taugt auch als universeller USB-UART-Adapter. Der Mikrocontroller Raspberry Pi Rp2040 des Pico hat zwei ARM-Kerne vom Typ Cortex-M0+, die jeweils einen Access Port (Ap) für das Debuggingsystem ARM CoreSight haben. Um es per USB von einem anderen Rechner aus anzusprechen, dienen das CMSIS-DAP-Protokoll sowie eine Cortex-M-Fimware. Unter Linux gibt es das Debugging-Tool OpenOCD. Das SWD-Interface lässt sich zudem nutzen, um Firmware vom PC auf den Pico zu schreiben. Eigenschaften: - USB-zu-ARM-SWD-Anschluss (Serial Wire Debug) - USB zu Uart - Kompatibel mit dem CMSIS-DAP-Standard - Funktioniert mit OpenOCD und anderen Tools, die Cmsis-Dap unterstützen - Open-Source, leicht aktualisierbare Firmware Lieferumfang: 1x Raspberry PI Debug Probe 1x Gehäuse 1x USB-Kabel 2x Kabel für Swd- und UART-Kontakte

THIS BOOK IS ABOUT FINDING, understanding, fixing, and preferably preventing bugs when creating desktop, network, and Web applications with Visual Basic (VB) .NET. It explores the power of the new cross-language and cross-component debugging tools, and shows you how to dig down into or tunnel across your entire application to find bugs at whatever level they live. With the arrival of VB .NET, many of the old debugging rules have changed. This means that some ominous storm clouds are gathering on the horizon. Well, Toto, We're Not in Kansas Anymore Back in the personal computing Dark Ages, during a period when men were men and code was written in blood, it took some seriously hard-core work to create a viable and stable Windows application. Windows itself was still relatively imma­ ture and was being held back because of the lack of simple tools available for producing programs. Then in 1991 Visual Basic 1.0 and its successors (henceforth collectively referred to as VB.Classic) came riding to the rescue and changed the software development world in a dramatic way.

Für Audi VW 360 Kalibriertuch 360 Debugging-Tuch

THIS BOOK IS ABOUT FINDING, understanding, fixing, and preferably preventing bugs when creating desktop, network, and Web applications with Visual Basic (VB) .NET. It explores the power of the new cross-language and cross-component debugging tools, and shows you how to dig down into or tunnel across your entire application to find bugs at whatever level they live. With the arrival of VB .NET, many of the old debugging rules have changed. This means that some ominous storm clouds are gathering on the horizon. Well, Toto, We're Not in Kansas Anymore Back in the personal computing Dark Ages, during a period when men were men and code was written in blood, it took some seriously hard-core work to create a viable and stable Windows application. Windows itself was still relatively imma­ ture and was being held back because of the lack of simple tools available for producing programs. Then in 1991 Visual Basic 1.0 and its successors (henceforth collectively referred to as VB.Classic) came riding to the rescue and changed the software development world in a dramatic way.

Object relationships in modern software systems are becoming increasingly numerous and complex, and program errors due to violations of object relationships are difficult to detect. Programmers need new tools that allow them to explore objects in a large system more efficiently and to detect broken object relationships instantaneously. Such tools incorporate approaches used in such areas as data visualization, pattern matching and extraction, database querying, active databases, and rule-based programming. The query-based debugging approach developed by the author of this book is another powerful yet efficient tool to be added to the developer's tool chest. Advanced Debugging Methods presents practice and tools for debugging computer programs. This book proposes new powerful approaches that simplify the daunting task of debugging complex software systems. Although debugging has been addressed in numerous research papers, many of its methods have yet to be explored in a book-length format. This book helps to fill this gap by presenting an overview of existing debugging tools with motivating examples and case studies, as well as presenting new, state-of-the-art debugging methods. Advanced Debugging Methods will be of use to software developers looking for tools to be applied in cutting edge practice; system architects looking at the relationship between software design and debugging; tools and programming language researchers looking for new ideas in run-time tool implementation as well as detailed descriptions of advanced implementations; and university professors and graduate students who will use this book as supplementary reading for graduate courses in programming tools, language implementation, and advanced object-oriented systems. Advanced Debugging Methods is also a handy reference of currently existing debugging methodologies as well as a springboard for cutting-edge research to simplify thedifficult task of debugging and to facilitate the development of more robust software systems.

This book presents a comprehensive overview of RTL (Register Transfer Level) debugging, addressing both foundational concepts and emerging technologies. It begins by examining the key issues faced in RTL design, such as timing violations, limited signal observability, and complex verification environments. It then outlines the basic principles of RTL debugging, including simulation techniques, waveform inspection, and the use of assertions and testbenches. Traditional debugging methods are discussed in depth, highlighting techniques like print-style debugging, coverage analysis, and assertion-based verification, along with their respective advantages and limitations. The book concludes with an exploration of leading-edge approaches involving Large Language Models (LLMs), showcasing how AI can support RTL debugging by assisting in code comprehension, anomaly detection, and bug localization.  

This book presents a comprehensive overview of RTL (Register Transfer Level) debugging, addressing both foundational concepts and emerging technologies. It begins by examining the key issues faced in RTL design, such as timing violations, limited signal observability, and complex verification environments. It then outlines the basic principles of RTL debugging, including simulation techniques, waveform inspection, and the use of assertions and testbenches. Traditional debugging methods are discussed in depth, highlighting techniques like print-style debugging, coverage analysis, and assertion-based verification, along with their respective advantages and limitations. The book concludes with an exploration of leading-edge approaches involving Large Language Models (LLMs), showcasing how AI can support RTL debugging by assisting in code comprehension, anomaly detection, and bug localization.  

Debugging Strategies for .NET Developers is a highly readable exploration of debugging with Microsoft .NET. While many other debugging books focus on obscure techniques for advanced users, this book is packed with real-world examples—designed for real-world developers—that convey specific techniques in concert with overall debugging strategies. This book teaches you how to think in terms of debugging with Microsoft .NET. Author Darin Dillon describes debugging concepts, such as assertions and logging, and follows each discussion with first-hand accounts of using these strategies to solve real-world bugs. The book will not only provide you with the techniques, but it will make you a master at recognizing when and how the techniques need to be applied.

Debugging Strategies for .NET Developers is a highly readable exploration of debugging with Microsoft .NET. While many other debugging books focus on obscure techniques for advanced users, this book is packed with real-world examples—designed for real-world developers—that convey specific techniques in concert with overall debugging strategies. This book teaches you how to think in terms of debugging with Microsoft .NET. Author Darin Dillon describes debugging concepts, such as assertions and logging, and follows each discussion with first-hand accounts of using these strategies to solve real-world bugs. The book will not only provide you with the techniques, but it will make you a master at recognizing when and how the techniques need to be applied.

Use this collection of best practices and tips for assessing the health of a solution. This book provides detailed techniques and instructions to quickly diagnose aspects of your Azure cloud solutions. The initial chapters of this book introduce you to the many facets of Microsoft Azure, explain why and how building for the cloud differs from on-premise development, and outline the need for a comprehensive strategy to debugging and profiling in Azure. You learn the major types of blades (FaaS, SaaS, PaaS, IaaS), how different views can be created for different scenarios, and you will become familiar with the Favorites section, Cost Management & Billing blade, support, and Cloud Shell. You also will know how to leverage Application Insights for application performance management, in order to achieve a seamless cloud development experience. Application Insights, Log Analytics, and database storage topics are covered. The authors further guide you on identity security with Azure AD and continuous delivery with CI and CD covered in detail along with the capabilities of Azure DevOps. And you are exposed to external tooling and trouble shooting in a production environment. After reading this book, you will be able to apply methods to key Azure services, including App Service (Web Apps, Function Apps, and Logic Apps), Cloud Services, Azure Container Service, Azure Active Directory, Azure Storage, Azure SQL Database, Cosmos DB, Log Analytics, and many more. What You Will Learn Debug and manage the performance of your applications Leverage Application Insights for application performance management Extend and automate CI/CD with the help of various build tools, including Azure DevOps, TeamCity, and Cake bootstrapper Who This Book Is For Application developers, designers, and DevOps personnel who want to find a one-stop shop in best practices for managing their application’s performance in the cloud and for debugging the issues accordingly

Use this collection of best practices and tips for assessing the health of a solution. This book provides detailed techniques and instructions to quickly diagnose aspects of your Azure cloud solutions. The initial chapters of this book introduce you to the many facets of Microsoft Azure, explain why and how building for the cloud differs from on-premise development, and outline the need for a comprehensive strategy to debugging and profiling in Azure. You learn the major types of blades (FaaS, SaaS, PaaS, IaaS), how different views can be created for different scenarios, and you will become familiar with the Favorites section, Cost Management & Billing blade, support, and Cloud Shell. You also will know how to leverage Application Insights for application performance management, in order to achieve a seamless cloud development experience. Application Insights, Log Analytics, and database storage topics are covered. The authors further guide you on identity security with Azure AD and continuous delivery with CI and CD covered in detail along with the capabilities of Azure DevOps. And you are exposed to external tooling and trouble shooting in a production environment. After reading this book, you will be able to apply methods to key Azure services, including App Service (Web Apps, Function Apps, and Logic Apps), Cloud Services, Azure Container Service, Azure Active Directory, Azure Storage, Azure SQL Database, Cosmos DB, Log Analytics, and many more. What You Will Learn Debug and manage the performance of your applications Leverage Application Insights for application performance management Extend and automate CI/CD with the help of various build tools, including Azure DevOps, TeamCity, and Cake bootstrapper Who This Book Is For Application developers, designers, and DevOps personnel who want to find a one-stop shop in best practices for managing their application’s performance in the cloud and for debugging the issues accordingly

This book is for those who wish to understand how Python debugging is and can be used to develop robust and reliable AI, machine learning, and cloud computing software. It will teach you a novel pattern-oriented approach to diagnose and debug abnormal software structure and behavior. The book begins with an introduction to the pattern-oriented software diagnostics and debugging process that, before performing Python debugging, diagnoses problems in various software artifacts such as memory dumps, traces, and logs. Next, you’ll learn to use various debugging patterns through Python case studies that model abnormal software behavior. You’ll also be exposed to Python debugging techniques specific to cloud native and machine learning environments and explore how recent advances in AI/ML can help in Python debugging. Over the course of the book, case studies will show you how to resolve issues around environmental problems, crashes, hangs, resource spikes, leaks, and performancedegradation. This includes tracing, logging, and analyzing memory dumps using native WinDbg and GDB debuggers. Upon completing this book, you will have the knowledge and tools needed to employ Python debugging in the development of AI, machine learning, and cloud computing applications. What You Will Learn Employ a pattern-oriented approach to Python debugging that starts with diagnostics of common software problems Use tips and tricks to get the most out of popular IDEs, notebooks, and command-line Python debugging Understand Python internals for interfacing with operating systems and external modules Perform Python memory dump analysis, tracing, and logging Who This Book Is For Software developers, AI/ML engineers, researchers, data engineers, as well as MLOps and DevOps professionals.

This book is for those who wish to understand how Python debugging is and can be used to develop robust and reliable AI, machine learning, and cloud computing software. It will teach you a novel pattern-oriented approach to diagnose and debug abnormal software structure and behavior. The book begins with an introduction to the pattern-oriented software diagnostics and debugging process that, before performing Python debugging, diagnoses problems in various software artifacts such as memory dumps, traces, and logs. Next, you’ll learn to use various debugging patterns through Python case studies that model abnormal software behavior. You’ll also be exposed to Python debugging techniques specific to cloud native and machine learning environments and explore how recent advances in AI/ML can help in Python debugging. Over the course of the book, case studies will show you how to resolve issues around environmental problems, crashes, hangs, resource spikes, leaks, and performancedegradation. This includes tracing, logging, and analyzing memory dumps using native WinDbg and GDB debuggers. Upon completing this book, you will have the knowledge and tools needed to employ Python debugging in the development of AI, machine learning, and cloud computing applications. What You Will Learn Employ a pattern-oriented approach to Python debugging that starts with diagnostics of common software problems Use tips and tricks to get the most out of popular IDEs, notebooks, and command-line Python debugging Understand Python internals for interfacing with operating systems and external modules Perform Python memory dump analysis, tracing, and logging Who This Book Is For Software developers, AI/ML engineers, researchers, data engineers, as well as MLOps and DevOps professionals.