Author: Ehud Y. Shapiro Publisher: MIT Press (MA) ISBN: 9780262693073 Category : Computers Languages : en Pages : 231
Book Description
Shapiro productively combines elements of programming languages, environments, logic, and inductive inference to produce effective debugging aids. The author's use of the PROLOG language provides an efficient implementation of the debugging algorithms.
Author: Peter A. Fritzson Publisher: Springer Science & Business Media ISBN: 9783540574170 Category : Computers Languages : en Pages : 392
Book Description
Debugging has always been a costly part of software development, and many attempts have been made to provide automatic computer support for this task.Automated debugging has seen major develoments over the last decade. Onesuccessful development is algorithmic debugging, which originated in logic programming but was later generalized to concurrent, imperative, and lazy functional languages. Important advances have also been made in knowledge-based program debugging, and in approaches to automated debugging based on static and dynamic program slicing based on dataflow and dependence analysis technology. This is the first collected volume of papers on automated debugging and presents latest developments, tutorial papers, and surveys.
Author: Jonathan B. Rosenberg Publisher: Wiley ISBN: 9780471149668 Category : Computers Languages : en Pages : 276
Book Description
A total guide to debuggers: what they do, how they work, and how to use them to produce better programs "Debuggers are the magnifying glass, the microscope, the logic analyzer, the profiler, and the browser with which a program can be examined."-Jonathan B. Rosenberg Debuggers are an indispensable tool in the development process. In fact, during the course of the average software project, more hours are spent debugging software than in compiling code. Yet, not many programmers really know how to constructively interpret the results they get back from debuggers. And even fewer know what makes these complex suites of algorithms and data structures tick. Now in this extremely accessible guide, Jonathan B. Rosenberg demystifies debuggers for programmers and shows them how to make better use of debuggers in their next projects. Taking a hands-on, problem-solving approach to a complex subject, Rosenberg explains how debuggers work and why programmers use them. Most importantly, he provides practical discussions of debugger algorithms and procedures for their use, accompanied by many practical examples. The author also discusses a wide variety of systems applications, from Microsoft's Win32 debug API to a large parallel architecture. Visit our Web site at: http://www.wiley.com/compbooks/
Author: David J. Agans Publisher: HarperChristian + ORM ISBN: 0814426786 Category : Computers Languages : en Pages : 200
Book Description
When the pressure is on to resolve 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, this book provides simple, foolproof principles guaranteed to help find any bug quickly. Recognized tech expert and author David Agans changes the way you think about debugging, making those pesky problems suddenly much easier to find and fix. Agans identifies nine simple, practical rules that are applicable to any software application or hardware system, which can help detect any bug, no matter how tricky or obscure. Illustrating the rules with real-life bug-detection war stories, Debugging shows you 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 Whether the system or program you’re working on has been designed wrong, built wrong, or used wrong, Debugging helps you think correctly about bugs, so the problems virtually reveal themselves.
Author: Diomidis Spinellis Publisher: Addison-Wesley Professional ISBN: 0134394887 Category : Computers Languages : en Pages : 512
Book Description
Every software developer and IT professional understands the crucial importance of effective debugging. Often, debugging consumes most of a developer’s workday, and mastering the required techniques and skills can take a lifetime. In Effective Debugging, Diomidis Spinellis helps experienced programmers accelerate their journey to mastery, by systematically categorizing, explaining, and illustrating the most useful debugging methods, strategies, techniques, and tools. Drawing on more than thirty-five years of experience, Spinellis expands your arsenal of debugging techniques, helping you choose the best approaches for each challenge. He presents vendor-neutral, example-rich advice on general principles, high-level strategies, concrete techniques, high-efficiency tools, creative tricks, and the behavioral traits associated with effective debugging. Spinellis’s 66 expert techniques address every facet of debugging and are illustrated with step-by-step instructions and actual code. He addresses the full spectrum of problems that can arise in modern software systems, especially problems caused by complex interactions among components and services running on hosts scattered around the planet. Whether you’re debugging isolated runtime errors or catastrophic enterprise system failures, this guide will help you get the job done—more quickly, and with less pain. Key features include High-level strategies and methods for addressing diverse software failures Specific techniques to apply when programming, compiling, and running code Better ways to make the most of your debugger General-purpose skills and tools worth investing in Advanced ideas and techniques for escaping dead-ends and the maze of complexity Advice for making programs easier to debug Specialized approaches for debugging multithreaded, asynchronous, and embedded code Bug avoidance through improved software design, construction, and management
Author: Valmir C. Barbosa Publisher: MIT Press ISBN: 9780262024129 Category : Computers Languages : en Pages : 390
Book Description
An Introduction to Distributed Algorithms takes up some of the main concepts and algorithms, ranging from basic to advanced techniques and applications, that underlie the programming of distributed-memory systems such as computer networks, networks of work-stations, and multiprocessors. Written from the broad perspective of distributed-memory systems in general it includes topics such as algorithms for maximum flow, programme debugging, and simulation that do not appear in more orthodox texts on distributed algorithms.
Author: Martin Sjölund Publisher: Linköping University Electronic Press ISBN: 9175190710 Category : Debugging in computer science Languages : en Pages : 243
Book Description
Equation-based object-oriented (EOO) modeling languages such as Modelica provide a convenient, declarative method for describing models of cyber-physical systems. Because of the ease of use of EOO languages, large and complex models can be built with limited effort. However, current state-of-the-art tools do not provide the user with enough information when errors appear or simulation results are wrong. It is of paramount importance that such tools should give the user enough information to correct errors or understand where the problems that lead to wrong simulation results are located. However, understanding the model translation process of an EOO compiler is a daunting task that not only requires knowledge of the numerical algorithms that the tool executes during simulation, but also the complex symbolic transformations being performed. As part of this work, methods have been developed and explored where the EOO tool, an enhanced Modelica compiler, records the transformations during the translation process in order to provide better diagnostics, explanations, and analysis. This information is used to generate better error-messages during translation. It is also used to provide better debugging for a simulation that produces unexpected results or where numerical methods fail. Meeting deadlines is particularly important for real-time applications. It is usually essential to identify possible bottlenecks and either simplify the model or give hints to the compiler that enable it to generate faster code. When profiling and measuring execution times of parts of the model the recorded information can also be used to find out why a particular system model executes slowly. Combined with debugging information, it is possible to find out why this system of equations is slow to solve, which helps understanding what can be done to simplify the model. A tool with a graphical user interface has been developed to make debugging and performance profiling easier. Both debugging and profiling have been combined into a single view so that performance metrics are mapped to equations, which are mapped to debugging information. The algorithmic part of Modelica was extended with meta-modeling constructs (MetaModelica) for language modeling. In this context a quite general approach to debugging and compilation from (extended) Modelica to C code was developed. That makes it possible to use the same executable format for simulation executables as for compiler bootstrapping when the compiler written in MetaModelica compiles itself. Finally, a method and tool prototype suitable for speeding up simulations has been developed. It works by partitioning the model at appropriate places and compiling a simulation executable for a suitable parallel platform.
Author: Allen B. Downey Publisher: "O'Reilly Media, Inc." ISBN: 1491929537 Category : Computers Languages : en Pages : 251
Book Description
Currently used at many colleges, universities, and high schools, this hands-on introduction to computer science is ideal for people with little or no programming experience. The goal of this concise book is not just to teach you Java, but to help you think like a computer scientist. You’ll learn how to program—a useful skill by itself—but you’ll also discover how to use programming as a means to an end. Authors Allen Downey and Chris Mayfield start with the most basic concepts and gradually move into topics that are more complex, such as recursion and object-oriented programming. Each brief chapter covers the material for one week of a college course and includes exercises to help you practice what you’ve learned. Learn one concept at a time: tackle complex topics in a series of small steps with examples Understand how to formulate problems, think creatively about solutions, and write programs clearly and accurately Determine which development techniques work best for you, and practice the important skill of debugging Learn relationships among input and output, decisions and loops, classes and methods, strings and arrays Work on exercises involving word games, graphics, puzzles, and playing cards
Author: Setsuo Arikawa Publisher: Springer Science & Business Media ISBN: 9783540585206 Category : Computers Languages : en Pages : 600
Book Description
This volume presents the proceedings of the Fourth International Workshop on Analogical and Inductive Inference (AII '94) and the Fifth International Workshop on Algorithmic Learning Theory (ALT '94), held jointly at Reinhardsbrunn Castle, Germany in October 1994. (In future the AII and ALT workshops will be amalgamated and held under the single title of Algorithmic Learning Theory.) The book contains revised versions of 45 papers on all current aspects of computational learning theory; in particular, algorithmic learning, machine learning, analogical inference, inductive logic, case-based reasoning, and formal language learning are addressed.
Author: Tim Hendtlass Publisher: Springer Science & Business Media ISBN: 9783540437819 Category : Computers Languages : en Pages : 858
Book Description
This book constitutes the refereed proceedings of the 15th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, IEA/AIE 2002, held in Cairns, Australia, in June 2002. The 79 revised full papers presented were carefully reviewed and selected from more than 150 submissions. The papers are organized in topical sections on neural computation, image and speech processing, evolutionary and genetic algorithms, autonomous agents, Internet applications, expert systems, AI applications, knowledge processing, model-based reasoning, and adaptive systems.
Author: Ehud Y. Shapiro
Author: Peter A. Fritzson
Author: Jonathan B. Rosenberg
Author: David J. Agans
Author: Diomidis Spinellis
Author: Valmir C. Barbosa
Author: Martin Sjölund
Author: Allen B. Downey
Author: Setsuo Arikawa
Author: Tim Hendtlass