DocumentCode :
2229697
Title :
Is My Software "Good Enough" to Release? - A Probabilistic Assessment
Author :
Donohue, Susan K. ; Dugan, Joanne Bechta
Author_Institution :
Dept. of Syst. & Inf. Eng., Virginia Univ., Charlottesville, VA
fYear :
2005
fDate :
7-7 April 2005
Firstpage :
5
Lastpage :
13
Abstract :
We present the basics of a probabilistic methodology to assess the overall quality of software preparatory to its release through the evaluation of process and product evidence, the " \´good enough\´ to release" (GETR) methodology, in this paper. GETR methodology has three main elements: a model whose elements represent activities and artifacts identified in the literature as being effective assessors of software quality, a process for populating certain parts of the model, and methods for analyzing the importance of contributions made by individual evidence to the determination of overall system quality. First, the methodology\´s components are briefly introduced. A demonstration of how the methodology can be applied is then given through two case studies reviewing release assessments for in-house developed analytical tools. The robustness of the model is also illustrated by the results of the case studies
Keywords :
belief networks; program verification; quality assurance; software quality; Bayesian belief network; good enough to release methodology; probabilistic assessment methodology; software quality assessment; software quality assurance; software release; software validation; software verification; Application software; Bayesian methods; Conferences; NASA; Robustness; Software engineering; Software quality; Uncertainty; Bayesian Belief Networks; ModelPopulation; Software Quality Assurance; Software Validation and Verification;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Software Engineering Workshop, 2005. 29th Annual IEEE/NASA
Conference_Location :
Greenbelt, MD
Print_ISBN :
0-7695-2306-4
Type :
conf
DOI :
10.1109/SEW.2005.30
Filename :
1521189
Link To Document :
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