ACM Home Page
Please provide us with feedback. Feedback
Digital Library logoTake a look at the new version of this page: [ beta version ]. Tell us what you think.
Selecting Software Test Data Using Data Flow Information
Full text Publisher SitePublisher Site
Source IEEE Transactions on Software Engineering archive
Volume 11 ,  Issue 4  (April 1985) table of contents
Pages: 367-375  
Year of Publication: 1985
ISSN:0098-5589
Authors
Sandra Rapps  New York Univ., New York, NY
Elaine J. Weyuker  New York Univ., New York, NY
Publisher
IEEE Press  Piscataway, NJ, USA
Bibliometrics
Downloads (6 Weeks): n/a,   Downloads (12 Months): n/a,   Citation Count: 176
Additional Information:

abstract   cited by   index terms   review   collaborative colleagues  

Tools and Actions: Review this Article  
DOI Bookmark: 10.1109/TSE.1985.232226

ABSTRACT

This paper defines a family of program test data selection criteria derived from data flow analysis techniques similar to those used in compiler optimization. It is argued that currently used path selection criteria, which examine only the control flow of a program, are inadequate quate. Our procedure associates with each point in a program at which a variable is defined, those points at which the value is used. Several test data selection criteria, differing in the type and number of these associations, are defined and compared.


CITED BY  176


REVIEW

"Haim S. Gabrieli : Reviewer"

“How to perform adequate testing of computer programs?” is a question that has challenged programmers, analysts, and system designers repeatedly. Most commonly, a set of data—sometimes called “scenarios” or “t  more...

Collaborative Colleagues:
Sandra Rapps: colleagues
Elaine J. Weyuker: colleagues