Title :
AI-ESTATE-the next generation
Author :
Sheppard, John ; Kaufman, Mark
Author_Institution :
ARINC Res. Corp., Annapolis, MD, USA
Abstract :
We present an overview of the current and future directions of the AI-ESTATE standards. We address the concerns of document organization, information modeling, service versus API specification, and other issues raised by the AI-ESTATE community. We also discuss the vision of the AI-ESTATE subcommittee in its work to integrate the AI-ESTATE information models and projects such as testability/diagnosability assessment and test/maintenance feedback
Keywords :
IEEE standards; automatic test equipment; automatic test software; data encapsulation; data models; diagnostic expert systems; diagnostic reasoning; maintenance engineering; software prototyping; AI-ESTATE standards; IEEE standards; conceptual model; diagnostic reasoner; document organization; information encapsulation; information modeling; information models; revised common element model; service versus API specification; test/maintenance feedback; testability/diagnosability assessment; Artificial intelligence; Communication standards; Corona; Feedback; Software standards; Software testing; Standards development; Standards organizations; Standards publication; Tellurium;
Conference_Titel :
AUTOTESTCON '99. IEEE Systems Readiness Technology Conference, 1999. IEEE
Conference_Location :
San Antonio, TX
Print_ISBN :
0-7803-5432-X
DOI :
10.1109/AUTEST.1999.800351
