Predictive Analytics

Modeling and Optimization

Vijay Kumar, Mangey Ram, Vijay Kumar, Mangey Ram

• Publisher: CRC Press
• Year: 2021
• ISBN:
  9781000332889
• Edition: 1
• Topic: Mathematik
• Subtopic: Mathematische Analyse

Predictive analytics refers to making predictions about the future based on different parameters which are historical data, machine learning, and artificial intelligence. This book provides the most recent advances in the field along with case studies and real-world examples.

It discusses predictive modeling and analytics in reliability engineering and introduces current achievements and applications of artificial intelligence, data mining, and other techniques in supply chain management. It covers applications to reliability engineering practice, presents numerous examples to illustrate the theoretical results, and considers and analyses case studies and real-word examples.

The book is written for researchers and practitioners in the field of system reliability, quality, supply chain management, and logistics management. Students taking courses in these areas will also find this book of interest.

1Role of MCDM in Software Reliability Engineering

Rana Majumdar

MSIT, TIG
Kolkata, India

Subhrapratim Nath

Jadavpur University
Kolkata, India

Vijay Kumar

Department of Mathematics, AIAS, Amity University
Uttar Pradesh, Noida, India

CONTENTS

1.1Introduction

1.2Necessities to measure testing efficiency

1.2.1Process Adopted

1.2.2Case Study I

1.3AHP

1.3.1Efficacy Measure Using AHP

1.3.1.1Ideal Efficacy Measure

1.3.1.2Worst Efficacy Measure

1.4Measuring testing efficiency by means of alternating policy

1.5Case study II

1.6Efficiency measurement for upgraded software

1.6.1Methodological Approach

1.6.2Case Studies III

1.7Conclusions

References

1.1Introduction

One of the fundamentals adhered to by business organizations in vigorous and ambitious environments is stability in providing reliable products. The maturation of software quality remains a traditional obstacle to any software industry. Enhancing testing efficiency and effectiveness will account for the production of high-quality software. As a result, orientation toward effective defect management is a requisite for an organization to achieve better efficiency and software reliability by incorporating the testing attribute that is facilitated through empirical investigation performed using testing attributes through a data collection mechanism. A tool called the analytical hierarchy process in association with requirement prioritization when dealing with the origin of defects enables the identification of the relative significance of attributes for getting better testing competence. This analysis examines testing efficiency during the process of so...