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Probabilistic Program Analysis for Software Component Reliability

Probabilistic Program Analysis for Software Component Reliability PDF Author: Dave Mason
Publisher:
ISBN:
Category :
Languages : en
Pages :

Book Description


Probabilistic Program Analysis for Software Component Reliability

Probabilistic Program Analysis for Software Component Reliability PDF Author: Dave Mason
Publisher:
ISBN:
Category :
Languages : en
Pages :

Book Description


Probabilistic Program Analysis for Software Component Reliability [electronic Resource]

Probabilistic Program Analysis for Software Component Reliability [electronic Resource] PDF Author: Mason, Dave
Publisher: University of Waterloo
ISBN:
Category :
Languages : en
Pages :

Book Description


Component-based Software Development: Case Studies

Component-based Software Development: Case Studies PDF Author: Kung-kiu Lau
Publisher: World Scientific
ISBN: 9814482803
Category : Computers
Languages : en
Pages : 312

Book Description
Component-based software development (CBD) is an emerging discipline that promises to take software engineering into a new era. Building on the achievements of object-oriented software construction, CBD aims to deliver software engineering from a cottage industry into an industrial age for Information Technology, wherein software can be assembled from components, in the manner that hardware systems are currently constructed from kits of parts.This volume provides a survey of the current state of CBD, as reflected by activities that have been taking place recently under the banner of CBD, with a view to giving pointers to future trends. The contributions report case studies — self-contained, fixed-term investigations with a finite set of clearly defined objectives and measurable outcomes — on a sample of the myriad aspects of CBD.The book includes chapters dealing with COTS (commercial off-the-shelf) components; methodologies for CBD; compositionality, i.e. how to calculate or predict properties of a composite from those of its constituents; component software testing; and grid computing.

Composing Software Components

Composing Software Components PDF Author: Dick Hamlet
Publisher: Springer Science & Business Media
ISBN: 1441971483
Category : Computers
Languages : en
Pages : 366

Book Description
Software components and component-based software development (CBSD) are acknowledged as the best approach for constructing quality software at reasonable cost. Composing Software Components: A Software-testing Perspective describes a 10-year investigation into the underlying principles of CBSD. By restricting attention to the simplest cases, startling results are obtained: • Components are tested using only executable code. Their behavior is recorded and presented graphically. • Functional and non-functional behavior of systems synthesized from components are calculated from component tests alone. No access to components themselves is required. • Fast, accurate tools support every aspect of CBSD from design through debugging. Case studies of CBSD also illuminate software testing in general, particularly an expanded role for unit testing and the treatment of non-functional software properties. This unique book: • Contains more than a dozen case studies of fully worked-out component synthesis, with revealing insights into fundamental testing issues. • Presents an original, fundamental theory of component composition that includes persistent state and concurrency, based on functional software testing rather than proof-of-programs. • Comes with free supporting software with tutorial examples and data for replication of examples. The Perl software has been tested on Linux, Macintosh, and Windows platforms. Full documentation is provided. • Includes anecdotes and insights from the author’s 50-year career in computing as systems programmer, manager, researcher, and teacher. Composing Software Components: A Software-testing Perspective will help software researchers and practitioners to understand the underlying principles of component testing. Advanced students in computer science, engineering, and mathematics can also benefit from the book as a supplemental text and reference.

Component-Oriented Programming

Component-Oriented Programming PDF Author: Andy Ju An Wang
Publisher: John Wiley & Sons
ISBN: 0471713694
Category : Computers
Languages : en
Pages : 336

Book Description
Component Oriented Programming offers a unique programming-centered approach to component-based software development that delivers the well-developed training and practices you need to successfully apply this cost-effective method. Following an overview of basic theories and methodologies, the authors provide a unified component infrastructure for building component software using JavaBeans, EJB, OSGi, CORBA, CCM, .NET, and Web services. You'll learn how to develop reusable software components; build a software system of pre-built software components; design and implement a component-based software system using various component-based approaches. Clear organization and self-testing features make Component Oriented Programming an ideal textbook for graduate and undergraduate courses in computer science, software engineering, or information technology as well as a valuable reference for industry professionals.

Performance and Reliability Analysis of Computer Systems

Performance and Reliability Analysis of Computer Systems PDF Author: Robin A. Sahner
Publisher: Springer Science & Business Media
ISBN: 1461523672
Category : Computers
Languages : en
Pages : 408

Book Description
Performance and Reliability Analysis of Computer Systems: An Example-Based Approach Using the SHARPE Software Package provides a variety of probabilistic, discrete-state models used to assess the reliability and performance of computer and communication systems. The models included are combinatorial reliability models (reliability block diagrams, fault trees and reliability graphs), directed, acyclic task precedence graphs, Markov and semi-Markov models (including Markov reward models), product-form queueing networks and generalized stochastic Petri nets. A practical approach to system modeling is followed; all of the examples described are solved and analyzed using the SHARPE tool. In structuring the book, the authors have been careful to provide the reader with a methodological approach to analytical modeling techniques. These techniques are not seen as alternatives but rather as an integral part of a single process of assessment which, by hierarchically combining results from different kinds of models, makes it possible to use state-space methods for those parts of a system that require them and non-state-space methods for the more well-behaved parts of the system. The SHARPE (Symbolic Hierarchical Automated Reliability and Performance Evaluator) package is the `toolchest' that allows the authors to specify stochastic models easily and solve them quickly, adopting model hierarchies and very efficient solution techniques. All the models described in the book are specified and solved using the SHARPE language; its syntax is described and the source code of almost all the examples discussed is provided. Audience: Suitable for use in advanced level courses covering reliability and performance of computer and communications systems and by researchers and practicing engineers whose work involves modeling of system performance and reliability.

Bayesian Inference for Probabilistic Risk Assessment

Bayesian Inference for Probabilistic Risk Assessment PDF Author: Dana Kelly
Publisher: Springer Science & Business Media
ISBN: 1849961875
Category : Technology & Engineering
Languages : en
Pages : 230

Book Description
Bayesian Inference for Probabilistic Risk Assessment provides a Bayesian foundation for framing probabilistic problems and performing inference on these problems. Inference in the book employs a modern computational approach known as Markov chain Monte Carlo (MCMC). The MCMC approach may be implemented using custom-written routines or existing general purpose commercial or open-source software. This book uses an open-source program called OpenBUGS (commonly referred to as WinBUGS) to solve the inference problems that are described. A powerful feature of OpenBUGS is its automatic selection of an appropriate MCMC sampling scheme for a given problem. The authors provide analysis “building blocks” that can be modified, combined, or used as-is to solve a variety of challenging problems. The MCMC approach used is implemented via textual scripts similar to a macro-type programming language. Accompanying most scripts is a graphical Bayesian network illustrating the elements of the script and the overall inference problem being solved. Bayesian Inference for Probabilistic Risk Assessment also covers the important topics of MCMC convergence and Bayesian model checking. Bayesian Inference for Probabilistic Risk Assessment is aimed at scientists and engineers who perform or review risk analyses. It provides an analytical structure for combining data and information from various sources to generate estimates of the parameters of uncertainty distributions used in risk and reliability models.

Shasys: a Software Package for Component and System Reliability Analysis

Shasys: a Software Package for Component and System Reliability Analysis PDF Author: Stanford University. Department of Civil Engineering. Blume Earthquake Engineering Center
Publisher:
ISBN:
Category : Reliability (Engineering)
Languages : en
Pages : 102

Book Description


Applied Reliability Engineering and Risk Analysis

Applied Reliability Engineering and Risk Analysis PDF Author: Ilia B. Frenkel
Publisher: John Wiley & Sons
ISBN: 1118701895
Category : Technology & Engineering
Languages : en
Pages : 449

Book Description
This complete resource on the theory and applications of reliability engineering, probabilistic models and risk analysis consolidates all the latest research, presenting the most up-to-date developments in this field. With comprehensive coverage of the theoretical and practical issues of both classic and modern topics, it also provides a unique commemoration to the centennial of the birth of Boris Gnedenko, one of the most prominent reliability scientists of the twentieth century. Key features include: expert treatment of probabilistic models and statistical inference from leading scientists, researchers and practitioners in their respective reliability fields detailed coverage of multi-state system reliability, maintenance models, statistical inference in reliability, systemability, physics of failures and reliability demonstration many examples and engineering case studies to illustrate the theoretical results and their practical applications in industry Applied Reliability Engineering and Risk Analysis is one of the first works to treat the important areas of degradation analysis, multi-state system reliability, networks and large-scale systems in one comprehensive volume. It is an essential reference for engineers and scientists involved in reliability analysis, applied probability and statistics, reliability engineering and maintenance, logistics, and quality control. It is also a useful resource for graduate students specialising in reliability analysis and applied probability and statistics. Dedicated to the Centennial of the birth of Boris Gnedenko, renowned Russian mathematician and reliability theorist

Reliability Growth

Reliability Growth PDF Author: Panel on Reliability Growth Methods for Defense Systems
Publisher: National Academy Press
ISBN: 9780309314749
Category : Technology & Engineering
Languages : en
Pages : 235

Book Description
A high percentage of defense systems fail to meet their reliability requirements. This is a serious problem for the U.S. Department of Defense (DOD), as well as the nation. Those systems are not only less likely to successfully carry out their intended missions, but they also could endanger the lives of the operators. Furthermore, reliability failures discovered after deployment can result in costly and strategic delays and the need for expensive redesign, which often limits the tactical situations in which the system can be used. Finally, systems that fail to meet their reliability requirements are much more likely to need additional scheduled and unscheduled maintenance and to need more spare parts and possibly replacement systems, all of which can substantially increase the life-cycle costs of a system. Beginning in 2008, DOD undertook a concerted effort to raise the priority of reliability through greater use of design for reliability techniques, reliability growth testing, and formal reliability growth modeling, by both the contractors and DOD units. To this end, handbooks, guidances, and formal memoranda were revised or newly issued to reduce the frequency of reliability deficiencies for defense systems in operational testing and the effects of those deficiencies. "Reliability Growth" evaluates these recent changes and, more generally, assesses how current DOD principles and practices could be modified to increase the likelihood that defense systems will satisfy their reliability requirements. This report examines changes to the reliability requirements for proposed systems; defines modern design and testing for reliability; discusses the contractor's role in reliability testing; and summarizes the current state of formal reliability growth modeling. The recommendations of "Reliability Growth" will improve the reliability of defense systems and protect the health of the valuable personnel who operate them.