DocumentCode :
1038221
Title :
Software reliability estimations for telecommunications products
Author :
Dolinsky, Adrian A. ; Glickman, Stuart E.
Author_Institution :
Bellcore, Piscataway, NJ, USA
Volume :
12
Issue :
2
fYear :
1994
fDate :
2/1/1994 12:00:00 AM
Firstpage :
292
Lastpage :
301
Abstract :
Reliability of software used in telecommunications networks is a crucial determinant of network performance. Software reliability (SR) estimation is an important element of a network product´s reliability management. In particular, SR estimation can guide the product´s system testing process and releasability decisions. SR estimation is performed using an appropriate SR estimation model. However, the art of SR estimation is still evolving. There are many available SR estimation models to select from, with different models being appropriate for different applications. Although there is no “ultimate” and “universal” SR model on the horizon (and there may not be one in the foreseeable future), methods have been developed for selecting a trustworthy SR model for each application. The present authors have been analyzing and adapting these methods for applicability to network software. Their results indicate that there already exist methods for SR model selection which are practical to use for telecommunications software. If utilized, these methods can promote significant improvements in SR management. The paper presents the results to date
Keywords :
program testing; software reliability; software tools; telecommunication network management; telecommunications computing; network performance; network software; releasability decisions; reliability management; software reliability estimations; system testing process; telecommunications products; Application software; Software performance; Software reliability; Software systems; Software testing; Software tools; Strontium; System testing; Telecommunication network reliability; Telephony;
fLanguage :
English
Journal_Title :
Selected Areas in Communications, IEEE Journal on
Publisher :
ieee
ISSN :
0733-8716
Type :
jour
DOI :
10.1109/49.272879
Filename :
272879
Link To Document :
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