A memory-based reasoning approach for assessing software quality

Author

Paul, Raymond A. ; Challagulla, Venkata U B ; Bastani, Farokh B. ; Yen, I-Ling

fYear

2001

fDate

6/23/1905 12:00:00 AM

Firstpage

97

Lastpage

103

Abstract

Several methods have been explored for assuring the reliability of mission critical systems (MCS), but no single method has proved to be completely effective. This paper presents an approach for quantifying the confidence in the probability that a program is free of specific classes of defects. The method uses memory-based reasoning techniques to admit a variety of data from a variety of projects for the purpose of assessing new systems. Once a sufficient amount of information has been collected, the statistical results can be applied to programs that are not in the analysis set to predict their reliabilities and guide the testing process. The approach is applied to the analysis of Y2K defects based on defect data generated using fault-injection simulation

Keywords

diagnostic reasoning; probability; software metrics; software quality; MCS; Y2K defects; memory-based reasoning approach; mission critical systems; probability; reliability; software quality assessment; Analytical models; Data analysis; Formal verification; History; Information analysis; Inspection; Mission critical systems; Probability; Software quality; Testing;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Software and Applications Conference, 2001. COMPSAC 2001. 25th Annual International

Conference_Location

Chicago, IL

ISSN

0730-3157

Print_ISBN

0-7695-1372-7

Type

conf

DOI

10.1109/CMPSAC.2001.960603

Filename

960603