Multi-Criteria Decision Models in Software Reliability
Methods and Applications
1st Edition
Published on 30. November 2022
320 pages
978-1-000-77882-3 (ISBN)
Description
This book provides insights into contemporary issues and challenges in multi-criteria decision models. It is a useful guide for identifying, understanding and categorising multi-criteria decision models, and ultimately implementing the analysis for effective decision-making.
The use of multi-criteria decision models in software reliability engineering is a relatively new field of study, and this book collects all the latest methodologies, tools and techniques in one single volume. It covers model selection, assessment, resource allocation, release management, up-grade planning, open-source systems, bug tracking system management and defect prediction.
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.
The use of multi-criteria decision models in software reliability engineering is a relatively new field of study, and this book collects all the latest methodologies, tools and techniques in one single volume. It covers model selection, assessment, resource allocation, release management, up-grade planning, open-source systems, bug tracking system management and defect prediction.
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.
More details
Series
Edition
1. Auflage
Language
English
Place of publication
London
United Kingdom
Publishing group
Taylor & Francis Ltd
Target group
College/higher education
Professional and scholarly
Product notice
Reflowable
Illustrations
12 Tables, color; 38 Tables, black and white; 98 Line drawings, black and white; 9 Halftones, black and white; 107 Illustrations, black and white
ISBN-13
978-1-000-77882-3 (9781000778823)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Ashish Mishra | Nguyen Thi Dieu Linh | Manish Bhardwaj
Multi-Criteria Decision Models in Software Reliability
Methods and Applications
Book
10/2024
1st Edition
CRC Press
€71.90
Shipment within 10-20 days
Ashish Mishra | Nguyen Thi Dieu Linh | Manish Bhardwaj
Multi-Criteria Decision Models in Software Reliability
Methods and Applications
Book
11/2022
1st Edition
CRC Press
€186.00
Shipment within 15-20 days
Persons
Ashish Mishra, Nguyen Thi Dieu Linh, Manish Bhardwaj, Carla M. A. Pinto
Content
1. Enhancing Software Reliability by Evaluating Prediction Accuracy of CBF Algorithm Using Machine Learning. 2. Significance of Machine Learning and Deep Learning in Development of Artificial Intelligence. 3. Implication of Soft Computing and Machine Learning Method for Software Quality, Defect and Model Prediction. 4. Ambiguity Based on Working and Functionality in Deployed Software from Client Side in Prototype SDLC Model Scenario. 5. Selection of Software Programmer Using Fuzzy MCDM Technique in Software Engineering Scenario. 6. Implementing Multi-Criteria Decision-Making to Detect Potential Onset of Heart Disease. 7. State-of-the-Art Literature Review on Classification of Software Reliability Models. 8. Survey on Software Reliability Modelling and Quality Improvement Techniques. 9. Multi-Criteria Decision Management for Software Vulnerabilities Analysis. 10. On a Safety Evaluation of Artificial Intelligence-Based Systems to Software Reliability. 11. Study and Estimation of Existing Software Quality Models to Predict the Reliability of Component-Based Software. 12. Performance of Multi-Criteria Decision-Making Model in Software Engineering - A Survey. 13. Optimization Software Development Plan. 14. A Time-Variant Software Stability Model For Error Detection. 15. Software Vulnerability Analysis.
