DocumentCode :
330836
Title :
Determining fault insertion rates for evolving software systems
Author :
Nikora, Allen P. ; Munson, John C.
Author_Institution :
Jet Propulsion Lab., California Inst. of Technol., Pasadena, CA, USA
fYear :
1998
fDate :
4-7 Nov 1998
Firstpage :
306
Lastpage :
315
Abstract :
In developing a software system, we would like to be able to estimate the way in which the fault content changes during its development, as well as determining the locations having the highest concentration of faults. In the phases prior to test, however, there may be very little direct information regarding the number and location of faults. This lack of direct information requires the development of a fault surrogate from which the number of faults and their location can be estimated. We develop a fault surrogate based on changes in relative complexity, a synthetic measure which has been successfully used as a fault surrogate in previous work. We show that changes in the relative complexity can be used to estimate the rates at which faults are inserted into a system between successive revisions. These rates can be used to continuously monitor the total number of faults inserted into a system, the residual fault content, and identify those portions of a system requiring the application of additional fault detection and removal resources
Keywords :
program testing; software fault tolerance; software prototyping; system monitoring; continuous monitoring; direct information; evolving software systems; fault content changes; fault detection; fault insertion rates; fault removal resources; fault surrogate; relative complexity; residual fault content; successive revisions; synthetic measure; Application software; Computer science; Fault diagnosis; Lab-on-a-chip; Laboratories; Monitoring; Propulsion; Software measurement; Software systems; Testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Software Reliability Engineering, 1998. Proceedings. The Ninth International Symposium on
Conference_Location :
Paderborn
ISSN :
1071-9458
Print_ISBN :
0-8186-8991-9
Type :
conf
DOI :
10.1109/ISSRE.1998.730895
Filename :
730895
Link To Document :
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