Software Assessment: Reliability, Safety, Testability (New Dimensions In Engineering Series)
Central to the approach outlined in Software Assessment is a sophisticated assessment optimization technique called testability analysis. Pioneered at the College of William and Mary and NASA by Jeffrey Voas, testability analysis predicts the likelihood that latent bugs will be detected during testing. Drawing upon their experiences working on various high-profile projects—including air traffic control systems, an automated high-speed train-control system, and a CASE-generated autopilot system—they describe how testability analysis is used to determine which tests work and which do not; how much testing should be done on a given program; which areas of a program (modules, lines of code, etc.) are the most testable and which are the least testable; and how to allocate precious resources. The authors also describe original techniques for designing and coding programs to maximize their testability and a new method of generating test cases to support testing and testability analysis.
Specifications of Software Assessment: Reliability, Safety, Testability (New Dimensions In Engineering Series)
|Author||Michael A. Friedman, Jeffrey M. Voas|
|Number Of Pages||384|
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