You might also like

More about Software Reliability Assessment with OR Applications

• Book details
• Synopsis
• Trending among others

You get 498 loyalty points

Book synopsis

Software Reliability Assessment with OR Applications is a comprehensive guide to software reliability measurement, prediction, and control. It provides a thorough understanding of the field and gives solutions to the decision-making problems that concern software developers, engineers, practitioners, scientists, and researchers. Using operations research techniques, readers will learn how to overcome constraints such as cost, budget limitations, and schedule due dates to achieve the highest possible quality level.Software Reliability Assessment with OR Applications is a comprehensive text on software engineering and applied statistics, state-of-the art software reliability modeling, techniques and methods for reliability assessment, and related optimization problems. It addresses various topics, including:application of neural networks to software reliability assessment;optimum component selection in fault tolerant systems;unification methodologies in software reliability assessment;software reliability growth modeling using stochastic differential equations;comprehensive reliability analysis for fault tolerant systems; andsoftware release time decisions.Software Reliability Assessment with OR Applications is designed to cater to the needs of software engineering practitioners, developers, security or risk mangers, and statisticians. It can also be used as a textbook for advanced undergraduate or postgraduate courses in software reliability, industrial engineering, and operations research management.

Book details

Book category Books in English Computing & information technology Computer programming / software development Software Engineering

• Full title: Software Reliability Assessment with OR Applications
• Author: P.K. Kapur, Hoang Pham, A. Gupta
• Language: English
• Binding: Hardback
• Number of pages: 548
• EAN: 9780857292032
• ISBN: 085729203X
• ID: 01399953
• Publisher: Springer London Ltd
• Weight: 960 g
• Dimensions: 244 × 169 × 35 mm
• Date of publishing: 18. May 2011

Trending among others

---

---

---