02 September 2014
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A comparison of a dynamic software testability metric to static cyclomatic complexity

Author(s): J.M. Voas, K.W. Miller & J.E. Payne

Abstract:
arison of a dynamic software testability metric to static cyclomatic complexity J.M.

Voas, K.W.

Miller & J.E.

Payne Reliable Software Technologies Corporation, 11150 ABSTRACT This paper compares the dynamic testability prediction technique termed "sensitivity analysis" to the static testability technique termed cyclomatic complexity.

The appli- cation that we chose in this empirical study is a CASE generated version of a B-737 autoland and yawdamp systems.

For the B-737 systems we analyzed, we isolated those functions that we predict are more prone to hide errors during system/reliability test- ing.

We also analyzed the code with several other well-known static metrics.

This paper compares and contrasts the results of sensitivity analysis to the results of the static metrics. INTRODUCTION The adage that non-exhaustive software testing cannot reveal the absence of errors and only their existence is as true today as it was when Dijkstra wrote it [4, 1].

Unfortunately, ...

Pages: 15
Size: 2,056 kb
Paper DOI: 10.2495/SQM940311

 

 

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This paper can be found in the following book

Software Quality Management II Vol 1 Managing Quality Systems

Software Quality Management II Vol 1 Managing Quality Systems

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