Title :
An EDDM based toolset
Author :
Coleman, David ; Goodall, Sharon ; Haynes, Leonard ; Bukowski, Richard
Author_Institution :
Intelligent Automation, Inc., Rockville, MD, USA
Abstract :
Diagnostic Apprentice is a software toolset for dependency model creation, testability analysis, and fault isolation. It features compatibility with other tools through compliance with the IEEE SCC-20 P1232.1 Enhanced Diagnostic Dependency Model standard. It also stresses ease of use through a graphical model editor and simple reporting of testability results
Keywords :
IEEE standards; X-ray imaging; automatic testing; computer graphics; electronic equipment testing; fault diagnosis; image processing; infrared imaging; military computing; nondestructive testing; Diagnostic Apprentice; Enhanced Diagnostic Dependency Model standard; IEEE SCC-20 P1232.1; X-rays; dependency model creation; fault isolation; graphical model editor; image processing; logistics; magnetic field mapping; optical imaging; software toolset; testability; testability analysis; thermal imaging; Algorithm design and analysis; Automation; Fault trees; Graphical models; Libraries; Software algorithms; Software testing; Software tools; Stress; System testing;
Conference_Titel :
AUTOTESTCON '93. IEEE Systems Readiness Technology Conference. Proceedings
Conference_Location :
San Antonio, TX
Print_ISBN :
0-7803-0646-5
DOI :
10.1109/AUTEST.1993.396347
