An Ann Based Approach For Software Fault Prediction Using Object Oriented Metrics
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An Ann Based Approach For Software Fault Prediction Using Object Oriented Metrics
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Author : Independently Published
language : en
Publisher:
Release Date : 2018-09-10
An Ann Based Approach For Software Fault Prediction Using Object Oriented Metrics written by Independently Published and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-09-10 with categories.
During recent years, the enormous increase in demand for software products has been experienced. High quality software is the major demand of users. Predicting the faults in early stages will improve the quality of software and apparently reduce the development efforts or cost. Fault prediction is majorly based on the selection of technique and the metrics to predict the fault. Thus metrics selection is a critical part of software fault prediction. Currently techniques been evaluated based on traditional set of metrics. There is a need to identify the different techniques and evaluate them on the bases of appropriate metrics. In this research, Artificial neural network based SFP model is designed. The ANN model is trained using Levenberg Marquardt (LM) Algorithm For classification task, ANN is one of the most effective technique. Prediction is performed on the basis of object-oriented metrics. 5 object oriented metrics . are selected as input parameter from CK and Martin metric sets are selected as input parameters. DIT(Depth of inheritance tree, RFC(Response for class), WMC (weíghted methods per class), Ca (Afferent coupling), CBO (couplíng between objects) are the metrics used in this study. The experiments are performed on 18 public datasets from PROMISE repository. Receiver operating characteristic curve, accuracy, and Mean squared error are taken as performance parameters for the prediction task. The results of the proposed systems signify that ANN provides significant results in terms of accuracy and error rate.
Ck Metrics As A Software Fault Proneness Predictor
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Author : Sunil Sikka
language : en
Publisher: BookRix
Release Date : 2018-06-18
Ck Metrics As A Software Fault Proneness Predictor written by Sunil Sikka and has been published by BookRix this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-06-18 with Education categories.
Predicting Fault-proneness of software modules is essential for cost-effective test planning. Fault-proneness could play a key role in quality control of software. Various studies have shown the importance of software metrics in predicting fault-proneness of the software. “Classic” set of metrics was planned by Chidamber and Kemerer in 1991. Chidamber and Kemerer (CK) metrics suite is the most widely used metrics suite for the purpose of object-oriented software fault-proneness prediction. CK metrics are used for numerous function of study, e.g. defect prediction. CK metrics are the good predictor of fault-proneness of classes.C5.0 algorithm is one of the classification techniques of data mining. It is necessarily selected to partition data set into several smaller subsets in every recursion of creating decision tree. Object-oriented metrics play a very important role to quantify the effect of key factors to determine the fault-proneness. For fault-prediction model CK Metrics: Weighted Methods for Class (WMC), Depth of Inheritance Tree (DIT), Number of Children (NOC), Lack of Cohesion of Methods (LCOM), Response for Class (RFC), and Coupling Between Objects (CBO), are used as a independent variables.
Advanced Informatics For Computing Research
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Author : Ashish Kumar Luhach
language : en
Publisher: Springer
Release Date : 2018-12-12
Advanced Informatics For Computing Research written by Ashish Kumar Luhach and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-12-12 with Computers categories.
This two-volume set (CCIS 955 and CCIS 956) constitutes the refereed proceedings of the Second International Conference on Advanced Informatics for Computing Research, ICAICR 2018, held in Shimla, India, in July 2018. The 122 revised full papers presented were carefully reviewed and selected from 427 submissions. The papers are organized in topical sections on computing methodologies; hardware; information systems; networks; security and privacy; computing methodologies.
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.
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.
Product Focused Software Process Improvement
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Author : Jürgen Münch
language : en
Publisher: Springer Science & Business Media
Release Date : 2007-06-21
Product Focused Software Process Improvement written by Jürgen Münch and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-06-21 with Business & Economics categories.
This book constitutes the refereed proceedings of the 8th International Conference on Product Focused Software Process Improvement, PROFES 2007, held in Riga, Latvia in July 2007. The 29 revised full papers presented together with 4 reports on workshops and tutorials and 4 keynote addresses were carefully reviewed and selected from 55 submissions. The papers constitute a balanced mix of academic and industrial aspects; they are organized in topical sections on global software development, software process improvement, software process modeling and evolution, industrial experiences, agile software development, software measurement, simulation and decision support, processes and methods.
Data Engineering And Applications
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Author : Sanjeev Sharma
language : en
Publisher: Springer Nature
Release Date : 2022-10-11
Data Engineering And Applications written by Sanjeev Sharma and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-10-11 with Computers categories.
The book contains select proceedings of the 3rd International Conference on Data, Engineering, and Applications (IDEA 2021). It includes papers from experts in industry and academia that address state-of-the-art research in the areas of big data, data mining, machine learning, data science, and their associated learning systems and applications. This book will be a valuable reference guide for all graduate students, researchers, and scientists interested in exploring the potential of big data applications.
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
Faults Prediction Using Object Oriented Software Metric
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Author : Nadiah binti Arsat
language : en
Publisher:
Release Date : 2016
Faults Prediction Using Object Oriented Software Metric written by Nadiah binti Arsat and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016 with categories.
Recently, the Open Source Software (OSS) has gained popularity and has impacted the software industry at large. Many agencies, including the Malaysian government agencies are adopting open source projects due to the merit they offer. Due to the vast usage of OSS in the government administrations and many reported problems, there is a pivotal need to study on reliability and quality of the code for those applications. Thus, the attribute of the source code of these applications should be measured. This research investigates how the object-oriented metrics by Chidamber and Kemerer (CK) are used to predict the fault-proneness in the source code of the open source applications used by the Malaysian government, namely, MyMeeting, MyTaskManager and MyBooking. In this research, in order to validate the usefulness of object-oriented metrics for fault-proneness prediction, several analyses are conducted using Statistical Package for Social Sciences (SPSS) such as Spearman correlation, multiple linear regressions and univariate logistic regression and a mathematical model is develop to study its relationship with faults. The results show that only Depth of Inheritance Tree (DIT) metrics is useful in fault-proneness prediction in the open source applications.
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.