DocumentCode :
3059190
Title :
Statistical Evaluation of Complex Input-Output Transformations
Author :
Shu, Gang ; Bai, Zhuofu ; Podgurski, Andy
Author_Institution :
EECS Dept., Case Western Reserve Univ., Cleveland, OH, USA
fYear :
2011
fDate :
Nov. 29 2011-Dec. 2 2011
Firstpage :
70
Lastpage :
79
Abstract :
This paper presents a new, statistical approach to evaluating software products that transform complex inputs into complex outputs. This approach, called multistage stratified input/output (MSIO) sampling, combines automatic clustering of multidimensional I/O data with multistage sampling and manual examination of data elements, in order to accurately and economically estimate summary measures of output data quality. We report results of two case studies in which MSIO sampling was successfully applied to evaluating complex graphical outputs.
Keywords :
data analysis; input-output programs; pattern clustering; program testing; sampling methods; software metrics; software reliability; MSIO sampling; complex graphical outputs evaluation; complex input-output transformations; data element manual examination; multidimensional I/O data automatic clustering; multistage stratified input-output sampling; output data quality; software product evaluation; software reliability; software testing; statistical approach; statistical evaluation; summary measure estimation; Estimation; Handheld computers; Java; Software; Software measurement; Software reliability; Testing; MSIO sampling; bioinformatics; complex data; estimation; multistage sampling; software reliability; software testing; stratified sampling;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Software Reliability Engineering (ISSRE), 2011 IEEE 22nd International Symposium on
Conference_Location :
Hiroshima
ISSN :
1071-9458
Print_ISBN :
978-1-4577-2060-4
Type :
conf
DOI :
10.1109/ISSRE.2011.32
Filename :
6132955
Link To Document :
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