DocumentCode :
3410043
Title :
Statistical quality control: how to detect unreliable software components
Author :
Stieber, Harald A.
Author_Institution :
Nuremberg Polytech. Univ., Germany
fYear :
35735
fDate :
2-5 Nov1997
Firstpage :
8
Lastpage :
12
Abstract :
If “classical” testing-strategies are used (no usage-testing) the application of software reliability growth models may be difficult and reliability predictions can be misleading. Nevertheless statistical methods can be successfully applied to failure data. This paper presents an approach which allows the detection of unreliable software components and the comparison of the reliability of different software versions-even if testing is done in a classical manner. A simple to use graphical method-which is mainly based on the sequential test of Wald (1947)-is described. The methodology was successfully applied to a software system for tax consultants
Keywords :
financial data processing; software quality; software reliability; statistical analysis; failure data; graphical method; statistical quality control; tax consultants; unreliable software components detection; Application software; Predictive models; Project management; Quality control; Sequential analysis; Software quality; Software reliability; Software systems; Software testing; System testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Software Reliability Engineering, 1997. Proceedings., The Eighth International Symposium on
Conference_Location :
Albuquerque, NM
Print_ISBN :
0-8186-8120-9
Type :
conf
DOI :
10.1109/ISSRE.1997.630843
Filename :
630843
Link To Document :
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