Download or read book Early Software Reliability Prediction written by Ajeet Kumar Pandey and published by Springer. This book was released on 2013-07-12 with total page 164 pages. Available in PDF, EPUB and Kindle. Book excerpt: The development of software system with acceptable level of reliability and quality within available time frame and budget becomes a challenging objective. This objective could be achieved to some extent through early prediction of number of faults present in the software, which reduces the cost of development as it provides an opportunity to make early corrections during development process. The book presents an early software reliability prediction model that will help to grow the reliability of the software systems by monitoring it in each development phase, i.e. from requirement phase to testing phase. Different approaches are discussed in this book to tackle this challenging issue. An important approach presented in this book is a model to classify the modules into two categories (a) fault-prone and (b) not fault-prone. The methods presented in this book for assessing expected number of faults present in the software, assessing expected number of faults present at the end of each phase and classification of software modules in fault-prone or no fault-prone category are easy to understand, develop and use for any practitioner. The practitioners are expected to gain more information about their development process and product reliability, which can help to optimize the resources used.
Download or read book Ubiquitous Machine Learning and Its Applications written by Kumar, Pradeep and published by IGI Global. This book was released on 2017-03-03 with total page 281 pages. Available in PDF, EPUB and Kindle. Book excerpt: Constant improvements in technological applications have allowed for more opportunities to develop automated systems. This not only leads to higher success in smart data analysis, but also ensures that technological progression will continue. Ubiquitous Machine Learning and its Applications is a pivotal reference source for the latest research on the issues and challenges machines face in the new millennium. Featuring extensive coverage on relevant areas such as computational advertising, software engineering, and bioinformatics, this publication is an ideal resource for academicians, graduate students, engineering professionals, and researchers interested in discovering how they can apply these advancements to various disciplines.
Download or read book Software Reliability written by John D. Musa and published by McGraw-Hill Companies. This book was released on 1990 with total page 328 pages. Available in PDF, EPUB and Kindle. Book excerpt: Revised and updated for professional software engineers, systems analysts and project managers, this highly acclaimed book provides key concepts of software reliability and practical solutions for measuring reliability.
Download or read book Methodology for Software Reliability Prediction written by and published by . This book was released on 1987 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Methodology for Software Reliability Prediction written by and published by . This book was released on 1987 with total page 174 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Guidebook provides detailed procedures for the preparation of software reliability predictions and estimations on DOD projects. In developing the Guidebook, 59 software systems were examined and 19 key variables were identified that affected the software reliability of those systems. Procedures to measure these variables were developed to account for the type of application, development, environment, various software characteristics (such as modularity and complexity), test technique, test effort and test coverage. A methodology was also provided to use these measures to predict software fault density and software failure rates. The Guidebook could be applied by an Air Force acquisition office to help plan for adequate software reliability early in a project's life, specify achievable software reliability goals in a RFP, evaluate progress toward those goals at key project milestones and decide when to release the software. The Guidebook could also be used by the technical staff to establish thresholds for critical measures such as complexity. In addition the Guidebook also contains Quality Review and Standards Review Checklists that can be used in conjunction with the software reliability prediction and estimation methodology. The Quality Review Checklists are used to assess the quality of the requirements and design representation of the software while the Standards Review Checklist would be applied to software code. The checklists provide good guidance for ensuring that quality is built into the software.
Download or read book Cognitive Analytics Concepts Methodologies Tools and Applications written by Management Association, Information Resources and published by IGI Global. This book was released on 2020-03-06 with total page 1961 pages. Available in PDF, EPUB and Kindle. Book excerpt: Due to the growing use of web applications and communication devices, the use of data has increased throughout various industries, including business and healthcare. It is necessary to develop specific software programs that can analyze and interpret large amounts of data quickly in order to ensure adequate usage and predictive results. Cognitive Analytics: Concepts, Methodologies, Tools, and Applications provides emerging perspectives on the theoretical and practical aspects of data analysis tools and techniques. It also examines the incorporation of pattern management as well as decision-making and prediction processes through the use of data management and analysis. Highlighting a range of topics such as natural language processing, big data, and pattern recognition, this multi-volume book is ideally designed for information technology professionals, software developers, data analysts, graduate-level students, researchers, computer engineers, software engineers, IT specialists, and academicians.
Download or read book Methodology for Software Reliability Prediction written by and published by . This book was released on 1987 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book A Methodology for Software Reliability Prediction and Quality Control written by and published by . This book was released on 1972 with total page 49 pages. Available in PDF, EPUB and Kindle. Book excerpt: The increase in importance of software in command and control and other complex systems requires increased attention to the problems of software reliability and quality control. The paper reports on initial attempts to develop a methodology for Naval Tactical Data System software reliability analysis and presents the results of several statistical analyses.
Download or read book Methodology for software reliability prediction written by J. McCall and published by . This book was released on 1987 with total page 204 pages. Available in PDF, EPUB and Kindle. Book excerpt: The variation in fault density on Air Force programs in enormous: the worst programs are 390 times more error-prone than the best. Obviously, there are some critical differences in these programs that cause more errors to be introduced or left undetected. If we could solve the problem of what these differences are and how to control them, then we would have learned something fundamental about the occurrence of errors in software and how to avoid them. This report describes the results of a research and development effort to develop a methodology for predicting and estimating software reliability. A software Reliability Measurement Framework was established which spans the life cycle of a software reliability. Data from 59 systems, representing over 5 million lines of code, were analyzed and generally applicable observations about software reliability were made. A detailed approach to the collection and analysis of reliability data is also presented.
Download or read book Computational Science and Its Applications ICCSA 2018 written by Osvaldo Gervasi and published by Springer. This book was released on 2018-07-03 with total page 684 pages. Available in PDF, EPUB and Kindle. Book excerpt: The five volume set LNCS 10960 until 10964 constitutes the refereed proceedings of the 18th International Conference on Computational Science and Its Applications, ICCSA 2018, held in Melbourne, Australia, in July 2018.Apart from the general tracks, ICCSA 2018 also includes 34 international workshops in various areas of computational sciences, ranging from computational science technologies, to specific areas of computational sciences, such as computer graphics and virtual reality.The total of 265 full papers and 10 short papers presented in the 5-volume proceedings set of ICCSA 2018, were carefully reviewed and selected from 892 submissions.
Download or read book Software Reliability Modelling and Identification written by Sergio Bittanti and published by Springer Science & Business Media. This book was released on 1988-12-21 with total page 226 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume contains five tutorial papers based on the lectures given at the intensive course on Software Reliability Modelling and Identification in Como (Italy) from September 2 to 4, 1987. The purpose of this volume is to present some important models used to forecast the reliability growth during the software testing process, and discuss the practical applicability of models in the management of software techniques for model identification from data (parameter estimation, complexity selection, validation, etc.). The basic reliability concepts are also introduced for those readers who are not familiar with the reliability ideas. Besides the basic models, a new family of models is introduced in the book. This family is flexible enough to describe a variety of different reliability trends. Particular attention is given to the problem of the provision of tools to assist the user in selecting an appropriate model in a particular situation.
Download or read book Artificial Neural Network Applications for Software Reliability Prediction written by Manjubala Bisi and published by John Wiley & Sons. This book was released on 2017-09-21 with total page 316 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a starting point for software professionals to apply artificial neural networks for software reliability prediction without having analyst capability and expertise in various ANN architectures and their optimization. Artificial neural network (ANN) has proven to be a universal approximator for any non-linear continuous function with arbitrary accuracy. This book presents how to apply ANN to measure various software reliability indicators: number of failures in a given time, time between successive failures, fault-prone modules and development efforts. The application of machine learning algorithm i.e. artificial neural networks application in software reliability prediction during testing phase as well as early phases of software development process are presented. Applications of artificial neural network for the above purposes are discussed with experimental results in this book so that practitioners can easily use ANN models for predicting software reliability indicators.
Download or read book Reliability Prediction and Testing Textbook written by Lev M. Klyatis and published by John Wiley & Sons. This book was released on 2018-11-20 with total page 270 pages. Available in PDF, EPUB and Kindle. Book excerpt: This textbook reviews the methodologies of reliability prediction as currently used in industries such as electronics, automotive, aircraft, aerospace, off-highway, farm machinery, and others. It then discusses why these are not successful; and, presents methods developed by the authors for obtaining accurate information for successful prediction. The approach is founded on approaches that accurately duplicate the real world use of the product. Their approach is based on two fundamental components needed for successful reliability prediction; first, the methodology necessary; and, second, use of accelerated reliability and durability testing as a source of the necessary data. Applicable to all areas of engineering, this textbook details the newest techniques and tools to achieve successful reliabilityprediction and testing. It demonstrates practical examples of the implementation of the approaches described. This book is a tool for engineers, managers, researchers, in industry, teachers, and students. The reader will learn the importance of the interactions of the influencing factors and the interconnections of safety and human factors in product prediction and testing.
Download or read book Reliability Growth written by Panel on Reliability Growth Methods for Defense Systems and published by National Academy Press. This book was released on 2015-03-01 with total page 235 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Reliability Modeling The RIAC Guide to Reliability Prediction Assessment and Estimation written by William Denson and published by RIAC. This book was released on 2006 with total page 432 pages. Available in PDF, EPUB and Kindle. Book excerpt: The intent of this book is to provide guidance on modeling techniques that can be used to quantify the reliability of a product or system. In this context, reliability modeling is the process of constructing a mathematical model that is used to estimate the reliability characteristics of a product. There are many ways in which this can be accomplished, depending on the product or system and the type of information that is available, or practical to obtain. This book reviews possible approaches, summarizes their advantages and disadvantages, and provides guidance on selecting a methodology based on the specific goals and constraints of the analyst. While this book will not discuss the use of specific published methodologies, in cases where examples are provided, tools and methodologies with which the author has personal experience in their development are used, such as life modeling, NPRD, MIL-HDBK-217 and the RIAC 217Plus--Introduction.
Download or read book Handbook of 217Plus Reliability Prediction Models written by William Denson and published by RIAC. This book was released on 2006 with total page 182 pages. Available in PDF, EPUB and Kindle. Book excerpt: 217Plus is a methodology and a software tool that was developed by the RIAC to aid in the assessment of system reliability. It represents the next generation of the PRISM software tool initially released in 1999. The original software contained six embedded models to estimate the failure rate of various components when exposed to a specific set of stresses that are defined by the user. The 217Plus contains twelve embedded component models. Until the release of this handbook, the equations comprising the component reliability prediction models were not available in printed form. As such, a user of the old software tool could not see the exact equations that comprised the models. It is always advantageous for analysts to be able to review details of the models, so that reliability prediction results can be better interpreted and supported through mutual practitioner, management and customer understanding. The RIAC, therefore, developed and published this handbook to make available the equations and model parameters that form the basis of the 217Plus methodology.
Download or read book Software Reliability Assessment with OR Applications written by P.K. Kapur and published by Springer Science & Business Media. This book was released on 2013-05-09 with total page 560 pages. Available in PDF, EPUB and Kindle. Book excerpt: Software Reliability Assessment with OR Applications is a comprehensive guide to software reliability measurement, prediction, and control. It provides a thorough understanding of the field and gives solutions to the decision-making problems that concern software developers, engineers, practitioners, scientists, and researchers. Using operations research techniques, readers will learn how to solve problems under constraints such as cost, budget and schedules to achieve the highest possible quality level. Software Reliability Assessment with OR Applications is a comprehensive text on software engineering and applied statistics, state-of-the art software reliability modeling, techniques and methods for reliability assessment, and related optimization problems. It addresses various topics, including: unification methodologies in software reliability assessment; application of neural networks to software reliability assessment; software reliability growth modeling using stochastic differential equations; software release time and resource allocation problems; and optimum component selection and reliability analysis for fault tolerant systems. Software Reliability Assessment with OR Applications is designed to cater to the needs of software engineering practitioners, developers, security or risk managers, and statisticians. It can also be used as a textbook for advanced undergraduate or postgraduate courses in software reliability, industrial engineering, and operations research and management.
