A Bayesian Analysis of the Logarithmic-Poisson Execution Time Model Based on Expert Opinion and Failure Data

IEEE Transactions on Software Engineering

Volumn 20, Issue 9, 1994, Pages 677-683

  Singpurwalla, Nozer D ^b  

^a ASSOCIATION OF AMERICAN RAILROADS   (United States)

^b GEORGE WASHINGTON UNIVERSITY   (United States)

Author keywords

expert opinion; logarithmic Poisson process; nonhomogeneous Poisson process; Software reliability

Indexed keywords

COMPUTER SOFTWARE SELECTION AND EVALUATION; COMPUTER SYSTEM RECOVERY; DATA STRUCTURES; EXPERT SYSTEMS; FAILURE ANALYSIS; INFERENCE ENGINES; MATHEMATICAL MODELS; OPTIMIZATION; RANDOM PROCESSES; RELIABILITY; SOFTWARE ENGINEERING;

LOGARITHMIC POISSON EXECUTION TIME MODEL; NONHOMOGENEOUS POISSON PROCESSES; SOFTWARE RELIABILITY;

COMPUTER SOFTWARE;

EID: 0028495032     PISSN: 00985589     EISSN: None     Source Type: Journal    
DOI: 10.1109/32.317426     Document Type: Article

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