Software in medical devices, aircraft, industrial plants, trains and cars can cause serious harm to life, limb, and property in the event of a software failure or incorrect software requirements. The traditional way to verify if the software is both reliable and safe is through testing, but a program can only accomplish so much. The solution is to employ intelligent testing. This study explores the theoretical underpinnings of software testability, software reliability and software safety, and discusses the practical assessment of these important software qualities. While the emphasis is on assessment of these qualities, the achievement of these qualities is also discussed.
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Software in medical devices, aircraft, industrial plants, trains and cars can cause serious harm to life, limb, and property in the event of a software failure or incorrect software requirements. The traditional way to verify if the software is both reliable and safe is through testing, but a program can only accomplish so much. The solution is to employ intelligent testing. This study explores the theoretical underpinnings of software testability, software reliability and software safety, and discusses the practical assessment of these important software qualities. While the emphasis is on assessment of these qualities, the achievement of these qualities is also discussed.
MICHAEL A. FRIEDMAN, PhD, is a Senior Staff Engineer with Hughes Information Systems, Fullerton, California, where he provides technical leadership in the development of safety- and reliability-critical systems. Prior to joining Hughes, he served for several years as a software consultant with Digital Equipment Corporation. An author of the book Reliability of Software Intensive Systems and the Military Handbook on Hardware/Software Reliability Assurance Control, Dr. Friedman received his doctorate in information and computer science from the University of California, Irvine. JEFFREY M. VOAS, PhD, is Director of Research at Reliable Software Technologies Corporation, Sterling, Virginia. From 1990 to 1992 he was a postdoctoral fellow with the National Research Council at NASA-Langley. Dr. Voas received his doctorate in computer science from the College of William and Mary.
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