Simulation of Error Detection in Computer Programs
Schneidewind, Norman F.
Green, Thomas F.
MetadataShow full item record
The relationship between computer program complexity and error detection capability is investigated by representing a program as a directed graph and simulating the detection and correction of errors. Variables of interest are test coverage, number of inputs, residual errors, execution time, correction time and node-arc-loop relationships. One applica- tion is in software design where the information provided by the model would be used to select pro- gram structures which are easy to test. A second application is in software testing where test strategies and allocation of test effort would be based on error detection and complexity considerations.
Showing items related by title, author, creator and subject.
Elazar, Moshe. (Monterey, California. Naval Postgraduate School, 1995-03);Detection of small targets in the presence of noise and sea clutter interference presents a formidable task in a radar system design. Conventional radar detection schemes, such as spectral discrimination and noncoherent ...
Brown, Charles H. (Monterey, California: U.S. Naval Postgraduate School, 1960);Attack aircraft on interdiction or deep support missions are faced with the problem of detecting their targets by visual means. Much has been written about the general theory of computing detection probabilities associated ...
Nelson, Erik J. (Monterey, California. Naval Postgraduate School, 2008-03);This study analyses the trend for initial detection times using both passive and active sonar during submarine-on-submarine operations. Specifically, it simulates a nuclear powered submarine (SSN) searching for a diesel ...