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John Wiley & Sons Software Reliability and Testing Cover This tutorial presents 14 papers that provide an overview of software reliability models, testing te.. Product #: 978-0-8186-6852-4 Regular price: $78.41 $78.41 In Stock

Software Reliability and Testing

Pham, Hoang

Software Engineering Best Practices

Cover

1. Edition June 1995
144 Pages, Softcover
Wiley & Sons Ltd

ISBN: 978-0-8186-6852-4
John Wiley & Sons

This tutorial presents 14 papers that provide an overview of
software reliability models, testing techniques, and applications.
The book is targeted toward design engineers software engineers,
researchers, computer scientists, technical managers and students
wishing to conduct research or update themselves in the field of
software reliability and testing.

The papers on software reliability describe applications of
software reliability growth modeling to software systems,
investigate the relationship between program complexity measures
and program errors, and explore the difficulty in accurately
modeling software reliability. The remaining papers present new
models that are useful in estimating the reliability of software
systems and deal with the cost-reliability-optimal software release
policies in software systems.

The papers on software testing investigate the relationship between
reliability and testing, discuss safety arguments and the role of
software and system reliability, and describe the use of an
operational profile in testing a large-scale industrial software
system for estimating software. The remaining papers present new
models useful in testing software systems.

Preface.

Introduction.

Realistic Assumptions for Software Reliability Models (D. Zeitler,
Proceedings International Symposium on Software Reliability
Engineering, 1991).

Predicting Software Development Errors Using Software Complexity
Metric (T.M. Khoshgoftaar and J.C. Munson, IEEE Journal on Selected
Areas in Communications, 1990).

The Infeasibility of Quantifying the Reliability of Life-Critical
Real-Time Software (R.W. Butler and G.B. Finelli, (IEEE
Transactions and Software Engineering, January 1993).

Reliability Analysis of Large Software Systems: Defect Data
Modeling (Y. Levendel, IEEE Transactions on Software Engineering,
February 1990).

A Micro Software Reliability Model for Prediction and Test
Apportionment (M.L. Shooman, Proceedings International Symposium on
Software Reliability Engineering, 1991).

Optimization Models for Selection of Programs, Considering Cost
& Reliability (N. Ashrafi and O. Berman, IEEE Transactions on
Reliability, June 1992).

Software Reliability Measurement in Imperfect Debugging Environment
and its Application (S. Yamada, K. Tokuno, and S. Osaki,
Reliability Engineering and System Safety, Volume 40, 1993).

Are We Testing for True Reliability? (D. Hamlet, IEEE Software,
July 1992).

Safety Arguments, Software and System Reliability (J.A. McDermid,
Proceedings International Symposium on Software Reliability
Engineering, 1991).

Application of Software Reliability Modeling to Product Quality and
Test Process (W.K. Ehrlich, J.P. Stampfel, and J.R. Wu, Proceedings
12th International Conference on Softeware Engineering,
1990).

Some New Models of Software Testing with Performance Comparisons
(T. Downs and P. Garrone, IEEE Transactions and Reliability, August
1991).

Software Fault Content and Reliability Estimations for
Telecommunication Systems (B. Lennselius and L. Rydstrom, IEEE
Journal on Selected Areas in Communications, February 1990).

Adapting, Correcting, and Perfecting Software Estimates: A
Maintenance Metaphor (T.K. Adbel-Hamid, Computer, March
1993).

Enhanced Availability of Transaction Oriented Systems using Failure
Tests (E. Gelenbe and M. Hernandez, Proceedings International
Symposium on Software Reliability Engineering, 1992).

About the Author.
Dr Hoang Pham is a professor in the Department of Industrial and Systems Engineering at Rutgers, The State University of New Jersey. Before joining Rutgers, he was a senior engineering specialist at the Boeing Company, Seattle, and the Idaho National Engineering Laboratory, Idaho Falls.