Author: Ehud Yehuda ShapiroPublisher:
ISBN:
Category :
Languages : en
Pages :
Book Description
Algorithmic Program Debugging
Author: Ehud Yehuda ShapiroGeneralized Algorithmic Debugging
Author: N. ShahmehriPublisher:
ISBN: 9789178708284
Category : Debugging in computer science
Languages : en
Pages : 189
Book Description
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."
Automated and Algorithmic Debugging
Author: Peter A. FritzsonPublisher: 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.
Algorithmic Program Debugging
Author: Ehud Yehuda ShapiroAlgorithmic Program Debugging
Author: Ehud Y. ShapiroPublisher: 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.
How Debuggers Work
Author: Jonathan B. RosenbergPublisher: 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/
Program Reliability Through Algorithmic Design and Analysis
Author: Roopsha SamantaPublisher:
ISBN:
Category :
Languages : en
Pages : 562
Book Description
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.
Automated and Algorithmic Debugging
Author: Peter A. FritzsonPublisher:
ISBN: 9783662169667
Category :
Languages : en
Pages : 388
Book Description
An Introduction to Distributed Algorithms
Author: Valmir C. BarbosaPublisher: 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: Maarten Faddegon