Abstract | ||
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The purpose of the research is to develop formulations to measure the testability of a program. Testability is a program's property which is introduced with the intention of predicting efforts required for testing the program. A program with a high degree of testability indicates that a selected testing criterion could be achieved with less effort and the existing faults can be revealed more easily during testing. We propose a new program normalization strategy that makes the measurement of testability more precise and reasonable. If the program testability metric derived from data flow analysis could be applied at the beginning of a software testing phase, much more effective testing of resource allocation and prioritizing is possible |
Year | DOI | Venue |
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1998 | 10.1109/CSMR.1998.665760 | CSMR |
Keywords | Field | DocType |
high degree,program testability,program testability metric,new program normalization strategy,effective testing resources allocation,program normalization strategy,program testing,testing criterion,software metrics,software testing phase,software testability measurements,software testability,resource allocation,selected testing criterion,data flow analysis,existing fault,software measurement,data analysis,data flow,software testing,computer science,resource management | Testability,Software testability,Normalization (statistics),Systems engineering,Computer science,Data-flow analysis,Resource allocation,Software metric,Reliability engineering,Software measurement,Data flow diagram | Conference |
ISBN | Citations | PageRank |
0-8186-8421-6 | 8 | 0.69 |
References | Authors | |
10 | 2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Pu-Lin Yeh | 1 | 71 | 4.55 |
Jin-Cherng Lin | 2 | 136 | 16.88 |