Enhancing Software Fault Prediction With Machine Learning Emerging Research And Opportunities
DOWNLOAD
Download Enhancing Software Fault Prediction With Machine Learning Emerging Research And Opportunities PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Enhancing Software Fault Prediction With Machine Learning Emerging Research And Opportunities book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page
Enhancing Software Fault Prediction With Machine Learning Emerging Research And Opportunities
DOWNLOAD
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
DOWNLOAD
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.
Fundamentals And Methods Of Machine And Deep Learning
DOWNLOAD
Author : Pradeep Singh
language : en
Publisher: John Wiley & Sons
Release Date : 2022-02-01
Fundamentals And Methods Of Machine And Deep Learning written by Pradeep Singh and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-02-01 with Computers categories.
FUNDAMENTALS AND METHODS OF MACHINE AND DEEP LEARNING The book provides a practical approach by explaining the concepts of machine learning and deep learning algorithms, evaluation of methodology advances, and algorithm demonstrations with applications. Over the past two decades, the field of machine learning and its subfield deep learning have played a main role in software applications development. Also, in recent research studies, they are regarded as one of the disruptive technologies that will transform our future life, business, and the global economy. The recent explosion of digital data in a wide variety of domains, including science, engineering, Internet of Things, biomedical, healthcare, and many business sectors, has declared the era of big data, which cannot be analysed by classical statistics but by the more modern, robust machine learning and deep learning techniques. Since machine learning learns from data rather than by programming hard-coded decision rules, an attempt is being made to use machine learning to make computers that are able to solve problems like human experts in the field. The goal of this book is to present a??practical approach by explaining the concepts of machine learning and deep learning algorithms with applications. Supervised machine learning algorithms, ensemble machine learning algorithms, feature selection, deep learning techniques, and their applications are discussed. Also included in the eighteen chapters is unique information which provides a clear understanding of concepts by using algorithms and case studies illustrated with applications of machine learning and deep learning in different domains, including disease prediction, software defect prediction, online television analysis, medical image processing, etc. Each of the chapters briefly described below provides both a chosen approach and its implementation. Audience Researchers and engineers in artificial intelligence, computer scientists as well as software developers.
Advances In System Dynamics And Control
DOWNLOAD
Author : Azar, Ahmad Taher
language : en
Publisher: IGI Global
Release Date : 2018-02-09
Advances In System Dynamics And Control written by Azar, Ahmad Taher and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-02-09 with Computers categories.
Complex systems are pervasive in many areas of science. With the increasing requirement for high levels of system performance, complex systems has become an important area of research due to its role in many industries. Advances in System Dynamics and Control provides emerging research on the applications in the field of control and analysis for complex systems, with a special emphasis on how to solve various control design and observer design problems, nonlinear systems, interconnected systems, and singular systems. Featuring coverage on a broad range of topics, such as adaptive control, artificial neural network, and synchronization, this book is an important resource for engineers, professionals, and researchers interested in applying new computational and mathematical tools for solving the complicated problems of mathematical modeling, simulation, and control.
Artificial Intelligence And Machine Learning Applications For Sustainable Development
DOWNLOAD
Author : A. J. Singh
language : en
Publisher: CRC Press
Release Date : 2025-01-28
Artificial Intelligence And Machine Learning Applications For Sustainable Development written by A. J. Singh and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-28 with Technology & Engineering categories.
The book highlights how technologies including artificial intelligence and machine learning are transforming renewable energy technologies and enabling the development of new solutions. It further discusses how smart technologies are employed to optimize energy production and storage, enhance energy efficiency, and improve the overall sustainability of energy systems. This book: Discusses artificial intelligence-based techniques, namely, neural networks, fuzzy expert systems, optimization techniques, and operational research Showcases the importance of artificial intelligence and machine learning in the energy market, demand analysis, and forecasting of renewable energy applications Illustrates strategies for sustainable development using artificial intelligence and machine learning applications Presents applications of artificial intelligence in the domain of electronics transformation and development, smart cities, and renewable energy utilization Highlights the role of artificial intelligence in solving problems such as image and signal processing, smart weather monitoring, smart farming, and distributed energy sources It is primarily written for senior undergraduates, graduate students, and academic researchers in diverse fields, including electrical, electronics and communications, energy, and environmental engineering.
Optimizing Contemporary Application And Processes In Open Source Software
DOWNLOAD
Author : Khosrow-Pour, D.B.A., Mehdi
language : en
Publisher: IGI Global
Release Date : 2018-02-02
Optimizing Contemporary Application And Processes In Open Source Software written by Khosrow-Pour, D.B.A., Mehdi and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-02-02 with Computers categories.
As is true of most technological fields, the software industry is constantly advancing and becoming more accessible to a wider range of people. The advancement and accessibility of these systems creates a need for understanding and research into their development. Optimizing Contemporary Application and Processes in Open Source Software is a critical scholarly resource that examines the prevalence of open source software systems as well as the advancement and development of these systems. Featuring coverage on a wide range of topics such as machine learning, empirical software engineering and management, and open source, this book is geared toward academicians, practitioners, and researchers seeking current and relevant research on the advancement and prevalence of open source software systems.
Bioinformatics 2 0 Harnessing Ai For Life Sciences
DOWNLOAD
Author : Dr. Priyanka Bhatewara Jain
language : en
Publisher: Xoffencer international book publication house
Release Date : 2025-02-02
Bioinformatics 2 0 Harnessing Ai For Life Sciences written by Dr. Priyanka Bhatewara Jain and has been published by Xoffencer international book publication house this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-02 with Science categories.
The multidisciplinary field of bioinformatics blends aspects of biology and information technology with computer science, statistics, mathematics, chemistry, biochemistry, physics, and language. The study of using computers to create databases and algorithms that will enhance and speed up biological research is known as bioinformatics. The 1990s saw the emergence of the field known as bioinformatics. The subfield of bioinformatics is primarily concerned with data related to the sequences of biological molecules, such as DNA, RNA, and proteins. Bioinformatics research heavily relies on data storage, retrieval, and analysis techniques. Different definitions of the field of bioinformatics have been put forth by different scientists and organizations. According to Fred Tekamah, bioinformatics is the way to go when it comes to using DNA and amino acid sequences and related information to solve biological problems. Bioinformatics: What is it? According to the National Centre for Biotechnology Information, it is "the field of science in which biology, computer science, and information technology merge into a single discipline," The Oxford English Dictionary defines it as follows: "Bioinformatics is conceptualizing biology in terms of molecules (in the sense of Physical chemistry) and applying informatics techniques (derived from disciplines such as applied math’s, computer science, and statistics) to understand and organize the information associated with these molecules, on a large scale. Interchangeably. The practical development of tools for data management and analysis, such as sequence analysis and genome information presentation, is the focus of bioinformatics. The application of algorithmic techniques to biological studies is the focus of computational biology. The group of systems that support life, such as information management systems, communication networks, and analysis tools, is known as bioinformation infrastructure.
Challenges And Opportunities For Deep Learning Applications In Industry 4 0
DOWNLOAD
Author : Vaishali Mehta
language : en
Publisher: Bentham Science Publishers
Release Date : 2022-10-05
Challenges And Opportunities For Deep Learning Applications In Industry 4 0 written by Vaishali Mehta and has been published by Bentham Science Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-10-05 with Computers categories.
The competence of deep learning for the automation and manufacturing sector has received astonishing attention in recent times. The manufacturing industry has recently experienced a revolutionary advancement despite several issues. One of the limitations for technical progress is the bottleneck encountered due to the enormous increase in data volume for processing, comprising various formats, semantics, qualities and features. Deep learning enables detection of meaningful features that are difficult to perform using traditional methods. The book takes the reader on a technological voyage of the industry 4.0 space. Chapters highlight recent applications of deep learning and the associated challenges and opportunities it presents for automating industrial processes and smart applications. Chapters introduce the reader to a broad range of topics in deep learning and machine learning. Several deep learning techniques used by industrial professionals are covered, including deep feedforward networks, regularization, optimization algorithms, convolutional networks, sequence modeling, and practical project methodology. Readers will find information on the value of deep learning in applications such as natural language processing, speech recognition, computer vision, online recommendation systems, bioinformatics, and videogames. The book also discusses prospective research directions that focus on the theory and practical applications of deep learning in industrial automation. Therefore, the book aims to serve as a comprehensive reference guide for industrial consultants interested in industry 4.0, and as a handbook for beginners in data science and advanced computer science courses.
Handbook Of Research On Pattern Engineering System Development For Big Data Analytics
DOWNLOAD
Author : Tiwari, Vivek
language : en
Publisher: IGI Global
Release Date : 2018-04-20
Handbook Of Research On Pattern Engineering System Development For Big Data Analytics written by Tiwari, Vivek and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-04-20 with Computers categories.
Due to the growing use of web applications and communication devices, the use of data has increased throughout various industries. It is necessary to develop new techniques for managing data in order to ensure adequate usage. The Handbook of Research on Pattern Engineering System Development for Big Data Analytics is a critical scholarly resource that examines the incorporation of pattern management in business technologies as well as decision making and prediction process through the use of data management and analysis. Featuring coverage on a broad range of topics such as business intelligence, feature extraction, and data collection, this publication is geared towards professionals, academicians, practitioners, and researchers seeking current research on the development of pattern management systems for business applications.
Data Science And Emerging Technologies
DOWNLOAD
Author : Yap Bee Wah
language : en
Publisher: Springer Nature
Release Date : 2024-04-26
Data Science And Emerging Technologies written by Yap Bee Wah and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-04-26 with Computers categories.
The book presents selected papers from International Conference on Data Science and Emerging Technologies (DaSET 2023), held online at UNITAR International University, Malaysia during December 4–5, 2023. This book presents current research and applications of data science and emerging technologies. The topics covered are artificial intelligence, big data technology, machine and deep learning, data mining, optimization algorithms, blockchain, Internet of Things (IoT), cloud computing, computer vision, cybersecurity, augmented and virtual reality, cryptography, and statistical learning.