Software engineering metrics and models
Software engineering metrics and models
Learning from Examples: Generation and Evaluation of Decision Trees for Software Resource Analysis
IEEE Transactions on Software Engineering - Special Issue on Artificial Intelligence in Software Applications
Software complexity—an alternative view
ACM SIGPLAN Notices
The mathematical validity of software metrics
ACM SIGSOFT Software Engineering Notes
Fractal structure of random programs
ACM SIGPLAN Notices
Applying Software Metrics
Measuring formal specification with &agr;-metric
ACM SIGSOFT Software Engineering Notes
A dynamic software metric and debugging tool
ACM SIGSOFT Software Engineering Notes
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We would like to present the use of the decision tree approach in the integration of various complexity metrics on the example of distinguishing between random and ordinary programs. Following our proposition that randomness indicates meaningless we can state that with the approach we are able to measure the "meaning" of computer programs. The main contributions stated in the paper is that the new way of metrics integration enabling one to combine metrics with various measurement units.