DocumentCode
3131371
Title
Using stochastic models to effectively schedule hardware test efforts
Author
Hahn, John
Author_Institution
Aircraft Div., Naval Air Warfare Center, Indianapolis, IN, USA
Volume
2
fYear
1995
fDate
22-26 May 1995
Firstpage
825
Abstract
This paper identifies a stochastic method via which to plan a schedule of qualification or reliability testing of electronic hardware. The technique utilizes a Markov model to anticipate scheduling delays, exhibiting as its inherent advantages the following: (1) mean time between failures (MTBF) need not be known to generate the corresponding Markov statistics; (2) model anticipates random bottlenecks in scheduling that a deterministic model cannot; (3) model readily avails itself to computation of Markov statistics that estimate the time to completion of all tests (and its variance), in addition to the time to completion of each qualification or reliability test (and the respective variances of each test); and (4) a Markov model used in (3) has been translated into a synopsis of a proposed software configuration, to function as guideline via which to generate software that would execute the desired Markov matrix computations, in the event the time to test for a large group of DUTS is to be determined
Keywords
Markov processes; delays; electronic engineering computing; electronic equipment testing; random processes; reliability theory; DUT; MTBF; Markov matrix computation; Markov model; Markov statistics; deterministic model; device under test; electronic hardware; hardware test; reliability testing; schedule; software configuration; software generation; stochastic models; Delay effects; Delay estimation; Electronic equipment testing; Guidelines; Hardware; Processor scheduling; Qualifications; Software testing; Statistical analysis; Stochastic processes;
fLanguage
English
Publisher
ieee
Conference_Titel
Aerospace and Electronics Conference, 1995. NAECON 1995., Proceedings of the IEEE 1995 National
Conference_Location
Dayton, OH
ISSN
0547-3578
Print_ISBN
0-7803-2666-0
Type
conf
DOI
10.1109/NAECON.1995.522032
Filename
522032
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