DocumentCode :
748192
Title :
Reliability prediction and estimation of PROLOG programs
Author :
Azem, Alireza ; Belli, Fevzi ; Jedrzejowicz, Piotr
Author_Institution :
Dept. of Electr. & Electron. Eng., Paderborn Univ., Germany
Volume :
43
Issue :
4
fYear :
1994
fDate :
12/1/1994 12:00:00 AM
Firstpage :
542
Lastpage :
549
Abstract :
This paper presents an approach to reliability prediction and estimation of PROLOG programs, and introduces 2 complexity measures for PROLOG programs. The structural complexity measure refers to the program´s static characteristics: size and number of clauses; clause arguments (number and types); and clause types (facts or rules). The operational complexity measure refers to the program´s dynamic characteristics: execution frequency of program components; user behavior; and backtracking and recursion. Values of the two measures are used to: (1) predict PROLOG program reliability before testing and in the early testing stages; and (2) estimate the reliability as a function of time, in order to determine whether the reliability objective is achieved. The feature-oriented reliability determination approach leads to improvements in the accuracy of software reliability predictions and estimations
Keywords :
PROLOG; backtracking; computational complexity; program testing; software reliability; PROLOG programs; accuracy; backtracking; clause arguments; clauses; dynamic characteristics; execution frequency; feature-oriented reliability determination; operational complexity measure; recursion; reliability objective; software reliability estimation; software reliability predictions; static characteristics; structural complexity measure; testing; user behavior; Frequency measurement; Logic programming; Particle measurements; Programming profession; Reliability engineering; Reliability theory; Size measurement; Software measurement; Software reliability; Testing;
fLanguage :
English
Journal_Title :
Reliability, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9529
Type :
jour
DOI :
10.1109/24.370228
Filename :
370228
Link To Document :
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