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The SPIN Model Checker is used for both teaching software verification techniques, and for validating large scale applications. The growing number of users has created a need for a more comprehensive user guide and a standard reference manual that describes the most recent version of the tool. This book fills that need. SPIN is used in over 40 countries. The offical SPIN web site, spinroot.com receives between 2500 and 3000 hits per day. It has been estimated that up to three-quarters of the $400 billion spent annually to hire programmers in the United States is ultimately spent on debugging
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Master SPIN, the breakthrough tool for improving software reliability
SPIN is the world's most popular, and arguably one of the world's most powerful, tools for detecting software defects in concurrent system designs. Literally thousands of people have used SPIN since it was first introduced almost fifteen years ago. The tool has been applied to everything from the verification of complex call processing software that is used in telephone exchanges, to the validation of intricate control software for interplanetary spacecraft.
This is the most comprehensive reference guide to SPIN, written by the principal designer of the tool. It covers the tool's specification language and theoretical foundation, and gives detailed advice on methods for tackling the most complex software verification problems.
The SPIN software was awarded the prestigious Software System Award by the Association for Computing Machinery (ACM), which previously recognized systems such as UNIX, SmallTalk, TCP/IP, Tcl/Tk, and the World Wide Web.About the Author:
DR. GERARD J. HOLZMANN is the principal designer of the SPIN system. Formerly Directory of Computing Principles Research at Bell Laboratories in Murray Hill, N.J., he recently joined NASA's Jet Propulsion Laboratory in Pasadena, CA, to help set up a new Laboratory for Reliable Software. Holzmann's earlier books include Design and Validation of Computer Protocols (Prentice Hall), and The Early History of Data Networks (IEEE CS Press).
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