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Fault Prediction Method For Product Development


Fault Prediction Method For Product Development
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Fault Prediction Method For Product Development


Fault Prediction Method For Product Development
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Author :
language : en
Publisher:
Release Date : 2008

Fault Prediction Method For Product Development written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008 with categories.




Enhancing Software Fault Prediction With Machine Learning Emerging Research And Opportunities


Enhancing Software Fault Prediction With Machine Learning Emerging Research And Opportunities
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Author : Rashid, Ekbal
language : en
Publisher: IGI Global
Release Date : 2017-09-13

Enhancing Software Fault Prediction With Machine Learning Emerging Research And Opportunities written by Rashid, Ekbal and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-09-13 with Computers categories.


Software development and design is an intricate and complex process that requires a multitude of steps to ultimately create a quality product. One crucial aspect of this process is minimizing potential errors through software fault prediction. Enhancing Software Fault Prediction With Machine Learning: Emerging Research and Opportunities is an innovative source of material on the latest advances and strategies for software quality prediction. Including a range of pivotal topics such as case-based reasoning, rate of improvement, and expert systems, this book is an ideal reference source for engineers, researchers, academics, students, professionals, and practitioners interested in novel developments in software design and analysis.



Fault Prediction Approach


Fault Prediction Approach
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Author : Dhana Laxmi
language : en
Publisher:
Release Date : 2019-03-28

Fault Prediction Approach written by Dhana Laxmi and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-03-28 with categories.


Project Report from the year 2019 in the subject Computer Science - Software, grade: A, course: Doctoral Degree, language: English, abstract: This research works seeks to explore and provide an improved fault detection approach for inspection and fault detection. It systematically investigate and characterize software faults and faults to improve fault detection and prevention mechanisms in the quality software development process. Firstly, it contributes an Adaptive PSO-based association rule mining techniques for software fault classification using ANN. This task categorizes real defects by finding the best support and reliability to have the best policy for software fault classification using ANN. Secondly, it provides a Fault Prediction Approach (FPA) based on probabilistic models to perform software testing in Software Inspection. This describes a cost-effective way to accurately detect the defects by performing software inspection to develop quality software. The proposed FPA probes stochastic methods using the modified Naive Bayes classification to estimate the possible faults in the experimental environment to suggest novel defect control development. Software reliability engineering has become very important as the complexity of the system has increased exponentially with technological advances. The fact that all systems today depend on many other systems and interfaces is not only an application error but also a number of environmental factors that lead to failure. The impact of these failures depends on the nature of the system, but many of them cause customer dissatisfaction and business loss. System testing and fault detection have become the most important processes in the software life cycle. Various failure prediction models can be analyzed and suggested so that failures can be detected at an early stage and many test efforts can be saved. Software development has many defects in the design phase. In the past, many examples of software development



Mechatronics And Materials Processing I


Mechatronics And Materials Processing I
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Author : Liang Chi Zhang
language : en
Publisher: Trans Tech Publications Ltd
Release Date : 2011-09-02

Mechatronics And Materials Processing I written by Liang Chi Zhang and has been published by Trans Tech Publications Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-09-02 with Technology & Engineering categories.


Volume is indexed by Thomson Reuters CPCI-S (WoS). This special volume brings together the latest advances in, and applications of, mechatronics and materials processing. It comprises 523 papers selected from the some 1000 papers originally submitted by universities and industrial concerns all over the world. The papers specifically cover the topics of manufacturing technology and processing, materials science and technology, mechatronics and automation. All of the papers were peer-reviewed, by selected experts, and chosen for their quality and relevance. This work will provide readers with a broad overview of the latest advances in the field of mechatronics and materials processing. It will also constitute a valuable reference work for researchers in the fields of mechatronics and materials processing.



Fault Prediction Modeling For The Prediction Of Number Of Software Faults


Fault Prediction Modeling For The Prediction Of Number Of Software Faults
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Author : Santosh Singh Rathore
language : en
Publisher: Springer
Release Date : 2019-04-03

Fault Prediction Modeling For The Prediction Of Number Of Software Faults written by Santosh Singh Rathore and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-04-03 with Computers categories.


This book addresses software faults—a critical issue that not only reduces the quality of software, but also increases their development costs. Various models for predicting the fault-proneness of software systems have been proposed; however, most of them provide inadequate information, limiting their effectiveness. This book focuses on the prediction of number of faults in software modules, and provides readers with essential insights into the generalized architecture, different techniques, and state-of-the art literature. In addition, it covers various software fault datasets and issues that crop up when predicting number of faults. A must-read for readers seeking a “one-stop” source of information on software fault prediction and recent research trends, the book will especially benefit those interested in pursuing research in this area. At the same time, it will provide experienced researchers with a valuable summary of the latest developments.



Software Fault Prediction


Software Fault Prediction
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Author : Sandeep Kumar
language : en
Publisher: Springer
Release Date : 2018-06-06

Software Fault Prediction written by Sandeep Kumar and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-06-06 with Computers categories.


This book focuses on exploring the use of software fault prediction in building reliable and robust software systems. It is divided into the following chapters: Chapter 1 presents an introduction to the study and also introduces basic concepts of software fault prediction. Chapter 2 explains the generalized architecture of the software fault prediction process and discusses its various components. In turn, Chapter 3 provides detailed information on types of fault prediction models and discusses the latest literature on each model. Chapter 4 describes the software fault datasets and diverse issues concerning fault datasets when building fault prediction models. Chapter 5 presents a study evaluating different techniques on the basis of their performance for software fault prediction. Chapter 6 presents another study evaluating techniques for predicting the number of faults in the software modules. In closing, Chapter 7 provides a summary of the topics discussed. The book will be of immense benefit to all readers who are interested in starting research in this area. In addition, it offers experienced researchers a valuable overview of the latest work in this area.



Early Software Reliability Prediction


Early Software Reliability Prediction
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Author : Ajeet Kumar Pandey
language : en
Publisher: Springer
Release Date : 2013-07-12

Early Software Reliability Prediction written by Ajeet Kumar Pandey and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-07-12 with Technology & Engineering categories.


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.



Defect Prediction In Software Development Maintainence


Defect Prediction In Software Development Maintainence
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Author : Rudra Kumar
language : en
Publisher: Partridge Publishing
Release Date : 2018-04-11

Defect Prediction In Software Development Maintainence written by Rudra Kumar and has been published by Partridge Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-04-11 with Computers categories.


This book is a collection of taxonomy and review of contemporary model in the field of software development and maintenance. This book is basically the result of our passion toward the research of application of software engineering concepts. This work is derived from the need for accurate fault estimation in goals of quality programming and minimal maintenance overheads. State of art technologies have been discussed with respective experimental investigations and analysis. This work started out as a survey and then evolved according to our interest and proclivity into a work that emphasizes the aspects of software development. This book is intended to explain how the defect predictions are used to improve the quality of software development for easy analysis in a very simple way. It contains research that is useful to research scholars, engineers, and computing researchers.



Defect Prediction For New Products During The Development Phase


Defect Prediction For New Products During The Development Phase
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Author : Tao-Peng Chu
language : en
Publisher:
Release Date : 2014

Defect Prediction For New Products During The Development Phase written by Tao-Peng Chu and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014 with Defect prediction categories.


Defect prediction is an important task in the development phase of new products. We present a new method of predicting the number of defects for new products in the computer industry, such as laptops, during the development phase. The proposed approach is based on robust regression and reliability growth models. We use a robust regression model to predict the number of defects for new products, and a growth model is used to track the test progress during the development phase. The Weibull growth model achieves the best fit compared with other models, such as the exponential, three-parameter logistic, and Gompertz model. The predicted defects for four example products are similar to the actual defects during the whole development phase. The Weibull growth curve also provides a good fit for monitoring defect trends.



Product Reliability Maintainability And Supportability Handbook


Product Reliability Maintainability And Supportability Handbook
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Author : Michael Pecht
language : en
Publisher: CRC Press
Release Date : 1995-05-04

Product Reliability Maintainability And Supportability Handbook written by Michael Pecht and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1995-05-04 with Technology & Engineering categories.


This unique publication addresses the role of reliability, maintainability, and supportability in the life-cycle of a product, in the context of product effectiveness and worth. It emphasizes all aspects of producing an effective electrical or mechanical system. This is the only handbook available on this subject and the only book that is this comprehensive and informative. The Product Reliability, Maintainability, and Supportability Handbook examines the logistics, cost, and the physics of failure-topics never before found in a single volume on reliability. It describes the factors that affect product effectiveness and worth: performance, reliability, design effectiveness and margin for error, availability, affordability, use effectiveness, and logistic effectiveness. The handbook contains 13 in-depth chapters, opening with an introduction on product effectiveness and worth and concluding with reliability and maintainability data that can be combined with performance data to assess overall effectiveness of the product. The pages are filled with valuable information that can be easily and quickly put to practical use. Basic principles of the mathematical theory of probability and necessary background are provided. Concepts and basic theory of reliability in terms of probability and statistical inference are also given. Techniques for deriving probabilistic models from observational data as well as reliability models and associated validation techniques are detailed. Software and software reliability, quality, and safety are all covered, including the development life-cycle process and mechanisms by which software errors are introduced. The book presents design guidelines and techniques and the requirements for materials, manufacturing, and assembly. Learn how to analyze the reliability of redundant and fault-tolerant products. Use the methods for modeling and analyzing failures of repairable products that normally exhibit wearout characteristics. The Product Reliability, Maintainability, and Supportability Handbook also provides reliability improvement techniques to improve the competitiveness of existing products. The book includes helpful summaries and numerous problem sections to reinforce and test learned information. This reference source is the guide that professionals and technical managers should turn to when they need a comprehensive and detailed overview of everything that goes into producing systems and products that meet customer needs in an effective and timely manner.