Название: Applications in Reliability and Statistical Computing
Автор: Hoang Pham
Издательство: Springer
Год: 2023
Страниц: 310
Язык: английский
Формат: pdf (true), epub
Размер: 42.6 MB
This book discusses practical applications of reliability and statistical methods and techniques in various disciplines, using Machine Learning, Artificial Intelligence, optimization, and other computation methods. Bringing together research from international experts, each chapter aims to cover both methods and practical aspects on reliability or statistical computations with emphasis on applications. This book explores the era of Big Data through reliability and statistical computing, showcasing how almost all applications in our daily life have experienced a dramatic shift in the past two decades to a truly global industry. The requirement for Software Reliability Growth Models (SRGMs) has increased exponentially in response to the growing demand for strong and reliable software systems. During the testing phase of the Software Development Life Cycle (SDLC), SRGMs are particularly effective for estimating fault content, minimizing testing expenses, and maximizing software reliability. The DSS is developed in Python utilizing several well-known packages such as Numpy, Scipy, Tkinter, and Pandas.