David D. Hanagal,Nileema N. Bhalerao
Software Reliability Growth Models
Software Reliability Growth Models
💎 Earn 374 Points (£3.74) on this item.
YOU SAVE £15.03
- Condition: Brand new
- UK Delivery times: Usually arrives within 2 - 3 working days
- UK Shipping: Fee starts at £2.39. Subject to product weight & dimension
Bulk ordering. Want 15 or more copies? Get a personalised quote and bigger discounts. Learn more about bulk orders.
Couldn't load pickup availability
- More about Software Reliability Growth Models
This book provides an introduction to software reliability growth models (SRGMs), focusing on non-homogeneous Poisson process (NHPP) based models. It covers various SRGMs, estimation methods, and applications in software reliability engineering, including artificial neural networks, machine learning, and data-driven approaches. It is designed for practitioners and researchers in the field.
Format: Paperback / softback
Length: 104 pages
Publication date: 27 February 2022
Publisher: Springer Verlag, Singapore
This comprehensive book delves into the realm of software reliability growth models (SRGMs), encompassing a range of concepts from fundamental to advanced levels. It focuses on SRGMs based on the non-homogeneous Poisson process (NHPP), which has proven to be an invaluable tool in practical software reliability engineering. These models recognize the debugging process as a counting process characterized by its mean value function. The estimation of model parameters is achieved through either the maximum likelihood method or regression, providing valuable insights into software reliability.
NHPP SRGMs have been extensively studied, with particular attention given to inverse Weibull, generalized inverse Weibull, extended inverse Weibull, generalized extended inverse Weibull, and delayed S-shaped models. A comprehensive review of literature on SRGMs, spanning from its early beginnings to recent developments, is included. This review encompasses a wide range of applications, including artificial neural networks, machine learning, artificial intelligence, data-driven approaches, fault detection, fault correction processes, and even random environmental conditions.
Designed with practitioners and researchers in mind, this book caters to individuals at all levels of competency. It serves as a valuable resource for those seeking information on software reliability engineering, making it an essential tool for professionals and students alike.
Weight: 209g
Dimension: 235 x 155 (mm)
ISBN-13: 9789811600272
Edition number: 1st ed. 2021
This item can be found in:
UK and International shipping information
UK and International shipping information
UK Delivery and returns information:
- Delivery within 2 - 3 days when ordering in the UK.
- Shipping fee for UK customers from £2.39. Fully tracked shipping service available.
- Returns policy: Return within 30 days of receipt for full refund.
International deliveries:
Shulph Ink now ships to Australia, Belgium, Canada, France, Germany, Ireland, Italy, India, Luxembourg Saudi Arabia, Singapore, Spain, Netherlands, New Zealand, United Arab Emirates, United States of America.
- Delivery times: within 5 - 10 days for international orders.
- Shipping fee: charges vary for overseas orders. Only tracked services are available for most international orders. Some countries have untracked shipping options.
- Customs charges: If ordering to addresses outside the United Kingdom, you may or may not incur additional customs and duties fees during local delivery.
