DocumentCode
2338420
Title
On reducing the sensitivity of software reliability to variations in the operational profile
Author
Cukic, Bojan ; Bastani, Farokh B.
Author_Institution
Dept. of Comput. Sci., Houston Univ., TX, USA
fYear
1996
fDate
30 Oct-2 Nov 1996
Firstpage
45
Lastpage
54
Abstract
In the statistical sampling method, as in any other statistical approaches for measuring software reliability, the inputs to the program are chosen according to the estimated probability with which they occur in field use, forming the operational profile. However, in practice it is very difficult to accurately assess the operational distribution of input points. Furthermore, a variety of factors can cause the operational distribution to change during field use making the estimation even more difficult. Musa (1993) has suggested that reducing the size of the input domain simplifies the task of determining operational profiles. We present a class of techniques that reduce the dimensionality of input domains and describe their application. These techniques do not limit the functionality or change the input-output behavior of the program. An additional benefit of these techniques is the insensitivity of the reliability estimate to variations in the operational profile of variables eliminated from the input domain
Keywords
probability; program testing; software reliability; statistical analysis; estimated probability; input point operational distribution; operational profile variation; program input-output behavior; program testing; reliability estimate; software reliability; statistical sampling method; Computer errors; Computer science; Formal verification; Operating systems; Probability; Program processors; Sampling methods; Software measurement; Software reliability; Software testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Software Reliability Engineering, 1996. Proceedings., Seventh International Symposium on
Conference_Location
White Plains, NY
Print_ISBN
0-8186-7707-4
Type
conf
DOI
10.1109/ISSRE.1996.558694
Filename
558694
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