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The Art Of Debugging With Gdb Ddd And Eclipse

Author: Norman S. Matloff
Publisher: No Starch Press
ISBN: 1593271743
Size: 70.24 MB
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Provides information on using three debugging tools on the Linux/Unix platforms, covering such topics as inspecting variables and data structures, understanding segmentation faults and core dumps, using catchpoints and artificial arrays, and avoiding debu

Why Programs Fail

Author: Andreas Zeller
Publisher: Morgan Kaufmann
ISBN: 0123745152
Size: 20.87 MB
Format: PDF, Docs
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This fully updated second edition includes 100+ pages of new material, including new chapters on Verifying Code, Predicting Errors, and Preventing Errors. Cutting-edge tools such as FindBUGS and AGITAR are explained, techniques from integrated environments like Jazz.net are highlighted, and all-new demos with ESC/Java and Spec#, Eclipse and Mozilla are included. This complete and pragmatic overview of debugging is authored by Andreas Zeller, the talented researcher who developed the GNU Data Display Debugger(DDD), a tool that over 250,000 professionals use to visualize the data structures of programs while they are running. Unlike other books on debugging, Zeller's text is product agnostic, appropriate for all programming languages and skill levels. Why Programs Fail explains best practices ranging from systematically tracking error reports, to observing symptoms, reproducing errors, and correcting defects. It covers a wide range of tools and techniques from hands-on observation to fully automated diagnoses, and also explores the author's innovative techniques for isolating minimal input to reproduce an error and for tracking cause and effect through a program. It even includes instructions on how to create automated debugging tools. The new edition of this award-winning productivity-booster is for any developer who has ever been frustrated by elusive bugs. Brand new chapters demonstrate cutting-edge debugging techniques and tools, enabling readers to put the latest time-saving developments to work for them. Learn by doing. New exercises and detailed examples focus on emerging tools, languages and environments, including AGITAR, FindBUGS, Python and Eclipse. The text includes exercises and extensive references for further study, and a companion website with source code for all examples and additional debugging resources.

Advanced Linux Programming Portable Documents

Author: CodeSourcery LLC
Publisher: Sams Publishing
ISBN: 0672333627
Size: 76.91 MB
Format: PDF, ePub, Docs
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This is the eBook version of the printed book. If the print book includes a CD-ROM, this content is not included within the eBook version. Advanced Linux Programming is divided into two parts. The first covers generic UNIX system services, but with a particular eye towards Linux specific information. This portion of the book will be of use even to advanced programmers who have worked with other Linux systems since it will cover Linux specific details and differences. For programmers without UNIX experience, it will be even more valuable. The second section covers material that is entirely Linux specific. These are truly advanced topics, and are the techniques that the gurus use to build great applications. While this book will focus mostly on the Application Programming Interface (API) provided by the Linux kernel and the C library, a preliminary introduction to the development tools available will allow all who purchase the book to make immediate use of Linux.

The Art Of R Programming

Author: Norman Matloff
Publisher: No Starch Press
ISBN: 1593273843
Size: 48.36 MB
Format: PDF, ePub, Mobi
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A guide to software development using the R programming language covers such topics as closures, recursion, anonymous functions, and debugging techniques.

Debugging

Author: David J. AGANS
Publisher: AMACOM
ISBN: 0814426786
Size: 61.86 MB
Format: PDF, Mobi
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The rules of battle for tracking down -- and eliminating -- hardware and software bugs. When the pressure is on to root out an elusive software or hardware glitch, what's needed is a cool head courtesy of a set of rules guaranteed to work on any system, in any circumstance. Written in a frank but engaging style, Debugging provides simple, foolproof principles guaranteed to help find any bug quickly. This book makes those shelves of application-specific debugging books (on C++, Perl, Java, etc.) obsolete. It changes the way readers think about debugging, making those pesky problems suddenly much easier to find and fix. Illustrating the rules with real-life bug-detection war stories, the book shows readers how to: * Understand the system: how perceiving the ""roadmap"" can hasten your journey * Quit thinking and look: when hands-on investigation can't be avoided * Isolate critical factors: why changing one element at a time can be an essential tool * Keep an audit trail: how keeping a record of the debugging process can win the day The rules of battle for tracking down -- and eliminating -- hardware and software bugs. When the pressure is on to root out an elusive software or hardware glitch, what's needed is a cool head courtesy of a set of rules guaranteed to work on any system, in any circumstance. Written in a frank but engaging style, Debugging provides simple, foolproof principles guaranteed to help find any bug quickly. This book makes those shelves of application-specific debugging books (on C++, Perl, Java, etc.) obsolete. It changes the way readers think about debugging, making those pesky problems suddenly much easier to find and fix. Illustrating the rules with real-life bug-detection war stories, the book shows readers how to: * Understand the system: how perceiving the ""roadmap"" can hasten your journey * Quit thinking and look: when hands-on investigation can't be avoided * Isolate critical factors: why changing one element at a time can be an essential tool * Keep an audit trail: how keeping a record of the debugging process can win the day The rules of battle for tracking down -- and eliminating -- hardware and software bugs. When the pressure is on to root out an elusive software or hardware glitch, what's needed is a cool head courtesy of a set of rules guaranteed to work on any system, in any circumstance. Written in a frank but engaging style, Debugging provides simple, foolproof principles guaranteed to help find any bug quickly. This book makes those shelves of application-specific debugging books (on C++, Perl, Java, etc.) obsolete. It changes the way readers think about debugging, making those pesky problems suddenly much easier to find and fix. Illustrating the rules with real-life bug-detection war stories, the book shows readers how to: * Understand the system: how perceiving the ""roadmap"" can hasten your journey * Quit thinking and look: when hands-on investigation can't be avoided * Isolate critical factors: why changing one element at a time can be an essential tool * Keep an audit trail: how keeping a record of the debugging process can win the day

Autotools

Author: John Calcote
Publisher: No Starch Press
ISBN: 1593272065
Size: 10.11 MB
Format: PDF, Docs
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The GNU Autotools make it easy for developers to create software that is portable across many UNIX-like operating systems. Thousands of open source software packages use the Autotools, but the learning curve is unfortunately steep, and it can be difficult for a beginner to find anything more than basic reference material on using the powerful software suite. InAutotools, author John Calcote begins with an overview of high-level concepts; then tackles more advanced topics, like using the M4 macro processor with Autoconf, extending the Automake framework, and building Java and C# sources. You'll learn how to: Master the Autotools build system to maximize your software's portability Generate Autoconf configuration scripts to simplify the compilation process Produce portable makefiles with Automake Build cross-platform software libraries with Libtool Write your own Autoconf macros Autotoolsalso includes a variety of complete projects that you're encouraged to work through to gain a real-world sense of how to become an Autotools practitioner. For example, you'll turn the FLAIM and Jupiter projects' hand-coded, makefile-based build systems into a powerful Autotools-based build system.

Safe C

Author: Vladimir Kushnir
Publisher: "O'Reilly Media, Inc."
ISBN: 1449320937
Size: 75.93 MB
Format: PDF, Docs
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This book contains discussion of some of the most typical mistakes made by programmers in C++ and also some recipes for how to avoid each of these mistakes.

Valgrind 3 3

Author: Julian Seward
Publisher: Network Theory.
ISBN: 9780954612054
Size: 71.12 MB
Format: PDF, ePub
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This manual describes how to use Valgrind, an award-winning suite of tools for debugging and profiling GNU/Linux programs. Valgrind detects memory and threading bugs automatically, avoiding hours of frustrating bug-hunting and making your programs more stable. You can also perform detailed profiling, to speed up your programs and reduce their memory usage. The Valgrind distribution provides five tools for debugging and profiling: Memcheck (a memory error detector), Cachegrind (a cache profiler), Callgrind (a call-graph profiler, Massif (a heap profiler) and Helgrind (a thread error detector). These tools and their options are described in detail, with practical examples and advice. Valgrind is free software, available under the GNU General Public License. It runs on X86/Linux, AMD64/Linux, PPC32/Linux and PPC64/Linux systems. This is a printed edition of the official reference documentation for Valgrind 3.3.0. For each copy sold 1 USD will be donated to the Valgrind developers by Network Theory Ltd.

The Definitive Guide To Gcc

Author: William von Hagen
Publisher: Apress
ISBN: 9781430202196
Size: 48.34 MB
Format: PDF, Kindle
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* Expanded and revised in light of the GNU Compiler Collection (GCC) 4 release in April 2005, this book offers detailed coverage of GCC's somewhat daunting array of options and features and includes several chapters devoted to its support for languages like C, C++, Java, Objective-C, and Fortran. * Though targeting beginner and intermediate developers, this book goes well beyond basic compiler usage, combining instruction of GCC's advanced features and utilities (authconf, libtool, and gprof) with key coding techniques, such as profiling and optimization to show how to build and manage enterprise-level applications. * This is an enormous market. GCC is the defacto compiler collection for hundreds of thousands of open source projects worldwide, a wide variety of commercial development projects, and is the standard compiler for academic programs.

Statistical Regression And Classification

Author: Norman Matloff
Publisher: CRC Press
ISBN: 1351645897
Size: 46.60 MB
Format: PDF, ePub
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Statistical Regression and Classification: From Linear Models to Machine Learning takes an innovative look at the traditional statistical regression course, presenting a contemporary treatment in line with today's applications and users. The text takes a modern look at regression: * A thorough treatment of classical linear and generalized linear models, supplemented with introductory material on machine learning methods. * Since classification is the focus of many contemporary applications, the book covers this topic in detail, especially the multiclass case. * In view of the voluminous nature of many modern datasets, there is a chapter on Big Data. * Has special Mathematical and Computational Complements sections at ends of chapters, and exercises are partitioned into Data, Math and Complements problems. * Instructors can tailor coverage for specific audiences such as majors in Statistics, Computer Science, or Economics. * More than 75 examples using real data. The book treats classical regression methods in an innovative, contemporary manner. Though some statistical learning methods are introduced, the primary methodology used is linear and generalized linear parametric models, covering both the Description and Prediction goals of regression methods. The author is just as interested in Description applications of regression, such as measuring the gender wage gap in Silicon Valley, as in forecasting tomorrow's demand for bike rentals. An entire chapter is devoted to measuring such effects, including discussion of Simpson's Paradox, multiple inference, and causation issues. Similarly, there is an entire chapter of parametric model fit, making use of both residual analysis and assessment via nonparametric analysis. Norman Matloff is a professor of computer science at the University of California, Davis, and was a founder of the Statistics Department at that institution. His current research focus is on recommender systems, and applications of regression methods to small area estimation and bias reduction in observational studies. He is on the editorial boards of the Journal of Statistical Computation and the R Journal. An award-winning teacher, he is the author of The Art of R Programming and Parallel Computation in Data Science: With Examples in R, C++ and CUDA.