An improved classification tree analysis of high cost modules based upon an axiomatic definition of complexity

Author

Tian, Jianhui ; Porter, Adam ; Zelkowitz, Marvin V.

Author_Institution

Soft. Eng. Process Group, IBM Canada Lab., North York, Ont., Canada

fYear

1992

fDate

7-10 Oct 1992

Firstpage

164

Lastpage

172

Abstract

Identification of high cost modules has been viewed as one mechanism to improve overall system reliability, since such modules tend to produce more than their fair share of problems. A decision tree model has previously been used to identify such modules. In this paper, a previously developed axiomatic model of program complexity is merged with the previously developed decision tree process for an improvement in the ability to identify such modules. This improvement has been tested using data from the NASA Software Engineering Laboratory

Keywords

classification; computational complexity; software metrics; software reliability; subroutines; trees (mathematics); axiomatic definition; classification tree analysis; decision tree model; high cost modules; overall system reliability; program complexity; Classification tree analysis; Computer science; Costs; Current measurement; Decision trees; Educational institutions; Feedback; Information analysis; Laboratories; NASA;

fLanguage

English

Publisher

ieee

Conference_Titel

Software Reliability Engineering, 1992. Proceedings., Third International Symposium on

Conference_Location

Research Triangle Park, NC

Print_ISBN

0-8186-2975-4

Type

conf

DOI

10.1109/ISSRE.1992.285848

Filename

285848