Download or read book Algorithmic Program Debugging written by Ehud Yehuda Shapiro and published by . This book was released on 1985 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Generalized Algorithmic Debugging written by N. Shahmehri and published by . This book was released on 1991 with total page 189 pages. Available in PDF, EPUB and Kindle. Book excerpt: Abstract: "This thesis presents a novel method for semi-automatic program debugging -- the Generalized Algorithmic Debugging Technique, GADT. The notion of declarative algorithmic debugging was first introduced for logic programming. However, this is the first algorithmic debugging method based on the principle of declarative debugging which can handle the debugging of programs written in an imperative language including loops and side-effects. In order to localize a bug, the debugging algorithm incrementally acquires knowledge about the debugged program. The knowledge is supplied by the user. The algorithm terminates when the bug has been localized to within the body of a procedure or an explicit loop. The generalized algorithmic debugging method uses program transformation and program flow analysis techniques to transform the subject program to a largely side-effect-free internal form which is used for bug localization. Thus, this algorithm defines two views of a program: (1) The user view which is the original program with side-effects and (2) the transformed view which is the transformed side-effect-free version of the original program. Transparent program debugging is supported by maintaining a mapping between these two views. The bug localization algorithm works on the transformed version, whereas user interactions are defined in terms of the user view. We have presented a general technique which it [sic] is not based on any ad-hoc assumptions about the subject program. The flexibility of this method has made it possible to further improve the bug localization algorithm by employing a number of other techniques, i.e. program slicing and test database lookup, thus increasing the degree of automation provided by GADT. These extensions are topics for ongoing research projects and future work. A survey and evaluation of a number of automated debugging systems and the techniques behind these systems are also presented. We have introduced several criteria for comparing these techniques with GADT. A prototype implementation of the generalized algorithmic debugging technique has been carried out to verify its feasibility, and to provide feedback for further refinement of the method. This has already resulted in a more efficient set of transformations, described in the thesis, compared to the initial prototype."

Download or read book Automated and Algorithmic Debugging written by Peter A. Fritzson and published by Springer Science & Business Media. This book was released on 1993-11-10 with total page 392 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Algorithmic Program Debugging written by Ehud Yehuda Shapiro and published by . This book was released on 1982 with total page 394 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Algorithmic Program Debugging written by Ehud Y. Shapiro and published by MIT Press (MA). This book was released on 2004-07-01 with total page 231 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book How Debuggers Work written by Jonathan B. Rosenberg and published by Wiley. This book was released on 1996 with total page 276 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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/

Download or read book Program Reliability Through Algorithmic Design and Analysis written by Roopsha Samanta and published by . This book was released on 2013 with total page 562 pages. Available in PDF, EPUB and Kindle. Book excerpt: Software systems are ubiquitous in today's world and yet, remain vulnerable to the fallibility of human programmers as well as the unpredictability of their operating environments. The overarching goal of this dissertation is to develop algorithms to enable automated and efficient design and analysis of reliable programs. In the first and second parts of this dissertation, we focus on the development of programs that are free from programming errors. The intent is not to eliminate the human programmer, but instead to complement his or her expertise, with sound and efficient computational techniques, when possible. To this end, we make contributions in two specific domains. Program debugging --- the process of fault localization and error elimination from a program found to be incorrect --- typically relies on expert human intuition and experience, and is often a lengthy, expensive part of the program development cycle. In the first part of the dissertation, we target automated debugging of sequential programs. A broad and informal statement of the (automated) program debugging problem is to suitably modify an erroneous program, say P, to obtain a correct program, say P'. This problem is undecidable in general; it is hard to formalize; moreover, it is particularly challenging to assimilate and mechanize the customized, expert programmer intuition involved in the choices made in manual program debugging. Our first contribution in this domain is a methodical formalization of the program debugging problem, that enables automation, while incorporating expert programmer intuition and intent. Our second contribution is a solution framework that can debug infinite-state, imperative, sequential programs written in higher-level programming languages such as C. Boolean programs, which are smaller, finite-state abstractions of infinite-state or large, finite-state programs, have been found to be tractable for program verification. In this dissertation, we utilize Boolean programs for program debugging. Our solution framework involves two main steps: (a) automated debugging of a Boolean program, corresponding to an erroneous program P, and (b) translation of the corrected Boolean program into a correct program P'. Shared-memory concurrent programs are notoriously difficult to write, verify and debug; this makes them excellent targets for automated program completion, in particular, for synthesis of synchronization code. Extant work in this domain has focused on either propositional temporal logic specifications with simplistic models of concurrent programs, or more refined program models with the specifications limited to just safety properties. Moreover, there has been limited effort in developing adaptable and fully-automatic synthesis frameworks that are capable of generating synchronization at different levels of abstraction and granularity. In the second part of this dissertation, we present a framework for synthesis of synchronization for shared-memory concurrent programs with respect to temporal logic specifications. In particular, given a concurrent program composed of synchronization-free processes, and a temporal logic specification describing their expected concurrent behaviour, we generate synchronized processes such that the resulting concurrent program satisfies the specification. We provide the ability to synthesize readily-implementable synchronization code based on lower-level primitives such as locks and condition variables. We enable synchronization synthesis of finite-state concurrent programs composed of processes that may have local and shared variables, may be straight-line or branching programs, may be ongoing or terminating, and may have program-initialized or user-initialized variables. We also facilitate expression of safety and liveness properties over both control and data variables by proposing an extension of propositional computation tree logic. Most program analyses, verification, debugging and synthesis methodologies target traditional correctness properties such as safety and liveness. These techniques typically do not provide a quantitative measure of the sensitivity of a computational system's behaviour to unpredictability in the operating environment. We propose that the core property of interest in reasoning in the presence of such uncertainty is robustness --- small perturbations to the operating environment do not change the system's observable behavior substantially. In well-established areas such as control theory, robustness has always been a fundamental concern; however, the techniques and results therein are not directly applicable to computational systems with large amounts of discretized, discontinuous behavior. Hence, robustness analysis of software programs used in heterogeneous settings necessitates development of new theoretical frameworks and algorithms. In the third part of this dissertation, we target robustness analysis of two important classes of discrete systems --- string transducers and networked systems of Mealy machines. For each system, we formally define robustness of the system with respect to a specific source of uncertainty. In particular, we analyze the behaviour of transducers in the presence of input perturbations, and the behaviour of networked systems in the presence of channel perturbations. Our overall approach is automata-theoretic, and necessitates the use of specialized distance-tracking automata for tracking various distance metrics between two strings. We present constructions for such automata and use them to develop decision procedures based on reducing the problem of robustness verification of our systems to the problem of checking the emptiness of certain automata. Thus, the system under consideration is robust if and only if the languages of particular automata are empty.

Download or read book Automated and Algorithmic Debugging written by Peter A. Fritzson and published by . This book was released on 2014-09-01 with total page 388 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book An Introduction to Distributed Algorithms written by Valmir C. Barbosa and published by MIT Press. This book was released on 1996 with total page 390 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Algorithmic Debugging for Complex Lazy Functional Programs written by Maarten Faddegon and published by . This book was released on 2017 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Algorithmic Learning Theory written by Setsuo Arikawa and published by Springer Science & Business Media. This book was released on 1994-09-28 with total page 600 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Focusing the Bug Localization Process in Algorithmic Debugging Through Program Slicing written by Linkoeping University. Dept. of Computer and Information Science and published by . This book was released on 1990 with total page 11 pages. Available in PDF, EPUB and Kindle. Book excerpt: This improved method is also applicable to imperative programs with side-effects, since we use a version of algorithmic debugging which has been generalized to imperative languages [Shahmehri, Fritzson-89]."

Download or read book Generalized Algorithmic Debugging written by and published by . This book was released on 1991 with total page 189 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Data Structure and Algorithms Using C written by Sachi Nandan Mohanty and published by John Wiley & Sons. This book was released on 2021-01-12 with total page 355 pages. Available in PDF, EPUB and Kindle. Book excerpt: Everyone knows that programming plays a vital role as a solution to automate and execute a task in a proper manner. Irrespective of mathematical problems, the skills of programming are necessary to solve any type of problems that may be correlated to solve real life problems efficiently and effectively. This book is intended to flow from the basic concepts of C++ to technicalities of the programming language, its approach and debugging. The chapters of the book flow with the formulation of the problem, it's designing, finding the step-by-step solution procedure along with its compilation, debugging and execution with the output. Keeping in mind the learner’s sentiments and requirements, the exemplary programs are narrated with a simple approach so that it can lead to creation of good programs that not only executes properly to give the output, but also enables the learners to incorporate programming skills in them. The style of writing a program using a programming language is also emphasized by introducing the inclusion of comments wherever necessary to encourage writing more readable and well commented programs. As practice makes perfect, each chapter is also enriched with practice exercise questions so as to build the confidence of writing the programs for learners. The book is a complete and all-inclusive handbook of C++ that covers all that a learner as a beginner would expect, as well as complete enough to go ahead with advanced programming. This book will provide a fundamental idea about the concepts of data structures and associated algorithms. By going through the book, the reader will be able to understand about the different types of algorithms and at which situation and what type of algorithms will be applicable.

Download or read book Tools and Methods for Analysis Debugging and Performance Improvement of Equation Based Models written by Martin Sjölund and published by Linköping University Electronic Press. This book was released on 2015-05-11 with total page 243 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Debugging written by David J. Agans and published by HarperChristian + ORM. This book was released on 2002-09-23 with total page 200 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Adapting Algorithm Animation Techniques for Program Debugging and Testing written by John T. Stasko and published by . This book was released on 1992 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: