DocumentCode
3265074
Title
AI-ESTATE-the next generation
Author
Sheppard, John ; Kaufman, Mark
Author_Institution
ARINC Res. Corp., Annapolis, MD, USA
fYear
1999
fDate
1999
Firstpage
11
Lastpage
18
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;
fLanguage
English
Publisher
ieee
Conference_Titel
AUTOTESTCON '99. IEEE Systems Readiness Technology Conference, 1999. IEEE
Conference_Location
San Antonio, TX
ISSN
1080-7725
Print_ISBN
0-7803-5432-X
Type
conf
DOI
10.1109/AUTEST.1999.800351
Filename
800351
Link To Document