Read Books Online and Download eBooks, EPub, PDF, Mobi, Kindle, Text Full Free.
Enhancing Software Fault Prediction With Machine Learning Emerging Research And Opportunities
Download Enhancing Software Fault Prediction With Machine Learning Emerging Research And Opportunities full books in PDF, epub, and Kindle. Read online Enhancing Software Fault Prediction With Machine Learning Emerging Research And Opportunities ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!
Book Synopsis Enhancing Software Fault Prediction With Machine Learning: Emerging Research and Opportunities by : Rashid, Ekbal
Download or read book Enhancing Software Fault Prediction With Machine Learning: Emerging Research and Opportunities written by Rashid, Ekbal and published by IGI Global. This book was released on 2017-09-13 with total page 129 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Advances in System Dynamics and Control by : Azar, Ahmad Taher
Download or read book Advances in System Dynamics and Control written by Azar, Ahmad Taher and published by IGI Global. This book was released on 2018-02-09 with total page 680 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Handbook of Research on Pattern Engineering System Development for Big Data Analytics by : Tiwari, Vivek
Download or read book Handbook of Research on Pattern Engineering System Development for Big Data Analytics written by Tiwari, Vivek and published by IGI Global. This book was released on 2018-04-20 with total page 396 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. 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.
Book Synopsis Safety and Security of Cyber-Physical Systems by : Frank J. Furrer
Download or read book Safety and Security of Cyber-Physical Systems written by Frank J. Furrer and published by Springer Nature. This book was released on 2022-07-20 with total page 559 pages. Available in PDF, EPUB and Kindle. Book excerpt: Cyber-physical systems (CPSs) consist of software-controlled computing devices communicating with each other and interacting with the physical world through sensors and actuators. Because most of the functionality of a CPS is implemented in software, the software is of crucial importance for the safety and security of the CPS. This book presents principle-based engineering for the development and operation of dependable software. The knowledge in this book addresses organizations that want to strengthen their methodologies to build safe and secure software for mission-critical cyber-physical systems. The book: • Presents a successful strategy for the management of vulnerabilities, threats, and failures in mission-critical cyber-physical systems; • Offers deep practical insight into principle-based software development (62 principles are introduced and cataloged into five categories: Business & organization, general principles, safety, security, and risk management principles); • Provides direct guidance on architecting and operating dependable cyber-physical systems for software managers and architects.
Book Synopsis Optimizing Contemporary Application and Processes in Open Source Software by : Khosrow-Pour, Mehdi
Download or read book Optimizing Contemporary Application and Processes in Open Source Software written by Khosrow-Pour, Mehdi and published by IGI Global. This book was released on 2018-02-02 with total page 318 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Intelligent Software Defect Prediction by : Xiao-Yuan Jing
Download or read book Intelligent Software Defect Prediction written by Xiao-Yuan Jing and published by Springer Nature. This book was released on 2024-01-17 with total page 210 pages. Available in PDF, EPUB and Kindle. Book excerpt: With the increasing complexity of and dependency on software, software products may suffer from low quality, high prices, be hard to maintain, etc. Software defects usually produce incorrect or unexpected results and behaviors. Accordingly, software defect prediction (SDP) is one of the most active research fields in software engineering and plays an important role in software quality assurance. Based on the results of SDP analyses, developers can subsequently conduct defect localization and repair on the basis of reasonable resource allocation, which helps to reduce their maintenance costs. This book offers a comprehensive picture of the current state of SDP research. More specifically, it introduces a range of machine-learning-based SDP approaches proposed for different scenarios (i.e., WPDP, CPDP, and HDP). In addition, the book shares in-depth insights into current SDP approaches’ performance and lessons learned for future SDP research efforts. We believe these theoretical analyses and emerging challenges will be of considerable interest to all researchers, graduate students, and practitioners who want to gain deeper insights into and/or find new research directions in SDP. It offers a comprehensive introduction to the current state of SDP and detailed descriptions of representative SDP approaches.
Book Synopsis Defect Prediction in Software Development & Maintainence by : Rudra Kumar
Download or read book Defect Prediction in Software Development & Maintainence written by Rudra Kumar and published by Partridge Publishing. This book was released on 2018-04-11 with total page 60 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Software Fault Prediction by : Sandeep Kumar
Download or read book Software Fault Prediction written by Sandeep Kumar and published by Springer. This book was released on 2018-06-06 with total page 72 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Innovations in Software-Defined Networking and Network Functions Virtualization by : Dumka, Ankur
Download or read book Innovations in Software-Defined Networking and Network Functions Virtualization written by Dumka, Ankur and published by IGI Global. This book was released on 2018-02-16 with total page 364 pages. Available in PDF, EPUB and Kindle. Book excerpt: The advancement of technology is a standard of modern daily life, whether it be the release of a new cellphone, computer, or a self-driving car. Due to this constant advancement, the networks on which these technologies operate must advance as well. Innovations in Software-Defined Networking and Network Functions Virtualization is a critical scholarly publication that observes the advances made in network infrastructure through achieving cost efficacy while maintaining maximum flexibility for the formation and operation of these networks. Featuring coverage on a broad selection of topics, such as software-defined storage, openflow controller, and storage virtualization, this publication is geared toward professionals, computer engineers, academicians, students, and researchers seeking current and relevant research on the advancements made to network infrastructures.
Book Synopsis Incorporating Nature-Inspired Paradigms in Computational Applications by : Khosrow-Pour, Mehdi
Download or read book Incorporating Nature-Inspired Paradigms in Computational Applications written by Khosrow-Pour, Mehdi and published by IGI Global. This book was released on 2018-04-06 with total page 385 pages. Available in PDF, EPUB and Kindle. Book excerpt: Many techniques have been developed to control the variety of dynamic systems. To develop those control techniques, it is fundamental to know the mathematical relations between the system inputs and outputs. Incorporating Nature-Inspired Paradigms in Computational Applications is a critical scholarly resource that examines the application of nature-inspired paradigms on system identification. Featuring coverage on a broad range of topics such as biogeographic computation, evolutionary control systems, and natural computing, this book is geared towards IT professionals, engineers, computer scientists, academicians, researchers, and graduate-level students seeking current research on the application of nature-inspired paradigms.
Book Synopsis Green Computing Strategies for Competitive Advantage and Business Sustainability by : Khosrow-Pour, Mehdi
Download or read book Green Computing Strategies for Competitive Advantage and Business Sustainability written by Khosrow-Pour, Mehdi and published by IGI Global. This book was released on 2018-02-02 with total page 324 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the age of corporate responsibility, green technology and sustainability continue to grip the consciousness of businesses. However, the development of appropriate business-driven green computing applications requires an awareness of the best practices of the green agenda. Green Computing Strategies for Competitive Advantage and Business Sustainability provides emerging research on maintaining an eco-friendly environment regarding cloud computing and promoting reusability. While highlighting competitive advantages, power consumption, and project evaluation, readers will learn about various techniques for reducing energy consumption in cloud performance and information technology systems. This book is a vital resource for academics, researchers, students, professionals, and managers interested in novel trends in green computing applications and technology.
Book Synopsis Emerging Trends and Applications in Artificial Intelligence by : Fausto Pedro García Márquez
Download or read book Emerging Trends and Applications in Artificial Intelligence written by Fausto Pedro García Márquez and published by Springer Nature. This book was released on with total page 611 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Communication, Software and Networks by : Vikrant Bhateja
Download or read book Communication, Software and Networks written by Vikrant Bhateja and published by Springer Nature. This book was released on 2022-10-27 with total page 634 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book highlights a collection of high-quality peer-reviewed research papers presented at the 7th International Conference on Information System Design and Intelligent Applications (INDIA 2022), held at BVRIT Hyderabad College of Engineering for Women, Hyderabad, Telangana, India, from February 25–26, 2022. It covers a wide range of topics in computer science and information technology, from wireless networks, social networks, wireless sensor networks, information and network security, to web security, Internet of Things, bioinformatics, geoinformatics, and computer networks.
Book Synopsis State of the Art Software Development in the Automotive Industry and Analysis upon Applicability of Software Fault Prediction by : Harald Altinger
Download or read book State of the Art Software Development in the Automotive Industry and Analysis upon Applicability of Software Fault Prediction written by Harald Altinger and published by Cuvillier Verlag. This book was released on 2023-08-08 with total page 207 pages. Available in PDF, EPUB and Kindle. Book excerpt: In recent years the amount of software within automobiles has increased up to 100 Million LOC in modern day premium vehicles. Virtually all innovations in automotive engineering in the last decade include software components. Parallel to this increasing amount, testing becomes more vital. Automotive software development follows restrictive guidelines in terms of coding standard, language limitations and processes. Traditionally testing is a core part of automotive development, but the raising number of features increases the time and money required to perform all tests. Repeating them multiple times due to programming errors might jeopardises a cars introduction on the market. SFP is a new approach to forecast bugs already at time of commit, thus to guide test engineers upon defining testing hotspots. This work reports on the first successful application using model driven and code generated automotive software as a case study and a success prediction rate up to 97% upon a bug or fault free commit. A compiled and published dataset is presented along with analysis upon the used software metrics. Performance data achieved using different machine learning algorithms is given. An indepth analysis upon factors preventing CPFP is conducted. Further usage and practical application areas will conclude the work.
Book Synopsis Proceedings of the 5th International Conference on Frontiers in Intelligent Computing: Theory and Applications by : Suresh Chandra Satapathy
Download or read book Proceedings of the 5th International Conference on Frontiers in Intelligent Computing: Theory and Applications written by Suresh Chandra Satapathy and published by Springer. This book was released on 2017-03-02 with total page 685 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book is a collection of high-quality peer-reviewed research papers presented at International Conference on Frontiers of Intelligent Computing: Theory and applications (FICTA 2016) held at School of Computer Engineering, KIIT University, Bhubaneswar, India during 16 - 17 September 2016. The book aims to present theories, methodologies, new ideas, experiences, applications in all areas of intelligent computing and its applications to various engineering disciplines like computer science, electronics, electrical, mechanical engineering, etc.
Book Synopsis Handbook of Research on Emerging Advancements and Technologies in Software Engineering by : Ghani, Imran
Download or read book Handbook of Research on Emerging Advancements and Technologies in Software Engineering written by Ghani, Imran and published by IGI Global. This book was released on 2014-04-30 with total page 686 pages. Available in PDF, EPUB and Kindle. Book excerpt: Advanced approaches to software engineering and design are capable of solving complex computational problems and achieving standards of performance that were unheard of only decades ago. Handbook of Research on Emerging Advancements and Technologies in Software Engineering presents a comprehensive investigation of the most recent discoveries in software engineering research and practice, with studies in software design, development, implementation, testing, analysis, and evolution. Software designers, architects, and technologists, as well as students and educators, will find this book to be a vital and in-depth examination of the latest notable developments within the software engineering community.
Book Synopsis Challenges and Opportunities for Deep Learning Applications in Industry 4.0 by : Vaishali Mehta
Download or read book Challenges and Opportunities for Deep Learning Applications in Industry 4.0 written by Vaishali Mehta and published by Bentham Science Publishers. This book was released on 2022-10-05 with total page 229 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
