DocumentCode :
1603912
Title :
A data analysis and representation engine to support software reliability engineering
Author :
Carr, Michael
Author_Institution :
Adv. Software Construction Center, AT&T, Cary, NC, USA
fYear :
1995
Firstpage :
368
Lastpage :
374
Abstract :
The AT&T Advanced Software Construction Center (ASCC) has developed a system that provides a powerful implementation of software reliability engineering (SRE) measurement. The Data Analysis and Representation Engine (DARE) supports quantitative analysis from data definition and collection through to metric calculation, visualization and use. Data input is automated from several vendor software development tools, and a form-based interface assists in data collection from developers. A number of metrics related to SRE are calculated and a metric visualization interface provides access to the graphs and reports via World Wide Web (WWW) browsers. DARE also provides a facility for further data analysis and is integrated with the AT&T Silver Bullet software development processes. This paper describes the design and features of DARE and how it supports SRE
Keywords :
Internet; computer aided software engineering; data analysis; data structures; data visualisation; graphs; software metrics; software reliability; AT&T Silver Bullet software development processes; DARE; Data Analysis and Representation Engine; World Wide Web browsers; data collection; data definition; data input; data representation; data use; data visualization; form-based interface; graphs; metric visualization interface; quantitative analysis; software metric calculation; software reliability engineering; vendor software development tool; Data analysis; Data visualization; Engines; Power engineering and energy; Programming; Reliability engineering; Software measurement; Software reliability; Web sites; World Wide Web;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Software Reliability Engineering, 1995. Proceedings., Sixth International Symposium on
Conference_Location :
Toulouse
ISSN :
1071-9458
Print_ISBN :
0-8186-7131-9
Type :
conf
DOI :
10.1109/ISSRE.1995.497679
Filename :
497679
Link To Document :
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