Bayesian Software Prediction Models. Volume IV. Bayesian Software Correction Limit Policies.

reportActive / Technical Report | Accession Number: ADA057873 | Open PDF

Abstract:

This report deals with the problem of determining an optimum correction limit policy for a large software system subject to random occurrences of errors in an operational phase. When an error occurs, the corrective action is scheduled for either the programmer Phase I or the system analyst Phase II. Two cost models are developed and procedures for obtaining the optimum correction time T are described to minimize the expected cost per unit time. Numerical examples are given to illustrate the procedure. Author

Author(s):
Goel, Amrit L. ; Okumoto, K.
Author Organization(s):
SYRACUSE UNIV N Y
Descriptive Note:
Final technical rept. Dec 75-Mar 78,
Supplementary Note:
See also Volume 3, AD-A057 872. DOI: 10.21236/ADA057873
Pagination:
0041

Security Markings

DOCUMENT & CONTEXTUAL SUMMARY

Distribution:
Approved For Public Release

RECORD

Collection: TR
Identifying Numbers
Report Number(s):
TR-78-4, RADC-TR-78-155-VOL-4
Contract/Grant Number(s):
F30602-76-C-0097
Task Number(s):
14
Project Number(s):
5581
Monitor Series:
TR-78-155-VOL-4
 Subject Terms
Joint Capability Areas:
JCA_5_Command and Control; JCA_1.2.5_Lessons Learned; JCA_1.2_Force Preparation; JCA_1_Force Support; JCA_5.3_Planning
Communities of Interest:
C4I
Descriptor(s):
*DEBUGGING(COMPUTERS), MATHEMATICAL MODELS, POLICIES, TIME DEPENDENCE, NUMERICAL ANALYSIS, ERRORS, BAYES THEOREM, PROGRAMMERS, CORRECTIONS, COMPUTER PROGRAM RELIABILITY
Field(s)/Group(s):
Statistics and Probability, Computer Programming and Software
Keyword(s):
Bayesian software prediction, WURADC55811403, PE62702F
Report Date:
1978 Jul 01