Название: Multi-Criteria Decision Models in Software Reliability: Methods and ApplicationsАвтор: Ashish Mishra, Nguyen Thi Dieu Linh, Manish Bhardwaj
Издательство: CRC Press
Год: 2023
Страниц: 321
Язык: английский
Формат: pdf (true)
Размер: 23.2 MB
In the present era, software reliability plays a vital role in solving different kinds of problems and providing promising solutions in digital world. Because of the increase in digitalisation in today’s lifestyle and each and every service to make the life easier, good software interfaces are required. Due to the increase in the usability and dependency on software, one important feature matters a lot, that is software reliability. The success of incorporation of the heavy software in the system works only with reliability feature. Such reliability depends upon different criteria and the deployed environment. It does not always relate to one or two factors, but it depends upon various factors such as physical or virtual.
This book explores various factors and criteria within different chapters related to reliability and decision-making steps. These aspects make decision-making approaches more powerful, reliable and effcient. The above-mentioned characteristics make the software reliability approaches more suitable and competent for decision-making systems. Nowadays, machine learning is incorporated in each and every feld of engineering to make the automated system for better decision-making solutions. This kind of system provides the effcient decision in less time. Medical science and engineering have been using various medical systems such as medical imaging devices, medical testing devices and medical information systems. In order to analyse such Big Data effciency, image processing, signal processing and data mining play important roles for computer-aided diagnosis and monitoring.
Decision-making in the medical feld is a very important part because it is directly related to human life, so monitoring and diagnosis software should be reliable enough to provide the correct reports. This book will enable the reader to appreciate the applications of multi-criteria decision models in software reliability and their different methods used in various felds according the feld criteria.
The Chapter 2 focuses on the examination of relevant literature and provides a conceptual framework that explains the role of Machine Learning (ML) and profound learning in the development of intelligent (artifcial) beings.
The Chapter 3 reviews the various classifcations used to predict software defects using software measurements in the literature. In this chapter, a detailed analysis of application of data mining and Machine Learning approaches used for software quality, defect and quality analysis is presented.
This Chapter 5 describes the integration of multi-criteria decision making (MCDM)-based fuzzy analytic hierarchy process (FAHP) and fuzzy Technique for Order Preference by Similarity to Ideal Solution (FTOPSIS) methods that are applied for the formation or selection of best group of programmers.
The Chapter 6 intends to use one of the unknown yet powerful Machine Learning algorithms, MCDM, to foresee the presence of heart disease in a person more accurately in order to save more lives by detecting and treating the patient before any major issue.
The Chapter 15 reviews the recent technologies and uses Deep Learning (DL) mechanisms to detect vulnerabilities. It shows how they apply state-to-state neural techniques that are helpful for capturing probable vulnerable codes and patterns. It also provides complete reviews of the visions, concepts and ideas of the game modifers for their feld of interest.
Multi-Criteria Decision Models in Software Reliability: Methods and Applications will cater to researchers, academicians, post-graduate students, software developers, software reliability engineers and IT managers.
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