DocumentCode :
2301829
Title :
Software quality and reliability prediction: a time-dependent model with controllable testing coverage and repair intensity
Author :
Levendel, Y.
Author_Institution :
AT&T Bell Lab., Naperville, IL, USA
fYear :
1989
fDate :
5-6 Jun 1989
Firstpage :
175
Lastpage :
181
Abstract :
In a previous paper, the defect detection and removal rates in a given project were mathematically modeled by the author (Proc. COMPSAC 87, p.340-6, Oct. 1987). Contrary to other models, the author´s model was a comprehensive birth-death model that was triggered by faults introduced through code submission. The repair process removed the detected defects while reintroducing new defects at a certain rate. Homogeneous statistical distributions were used to produce the model. In the present study, two important improvements are introduced, namely, the concepts of time-varying test coverage and of time-varying defect repair intensity. The test coverage and the repair intensity are increasing functions of the software coverage by the test program and the resource availability for defect repairs, respectively. The modeling of these two concepts provides a better tie of the model to reality. Nonhomogeneous distributions provide the necessary mathematical tool
Keywords :
reliability theory; software reliability; birth-death model; code submission; controllable testing coverage; defect repairs; mathematical tool; nonhomogeneous distributions; reliability prediction; resource availability; software coverage; software quality; test program; time-dependent model; time-varying defect repair intensity; time-varying test coverage; Distributed computing; Fault detection; Filtering; Predictive models; Probability distribution; Programming; Software quality; Software testing; Solids; System testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Systems and Software Engineering, 1989. Proceedings., Fourth Israel Conference on
Conference_Location :
Herzlia
Print_ISBN :
0-8186-1972-4
Type :
conf
DOI :
10.1109/ICCSSE.1989.72736
Filename :
72736
Link To Document :
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