Singer, Jeremy and Marion, Sebastien and Brown, Gavin D. and Jones, Richard E. and Lujan, Mikel and Ryder, Chris and Watson, Ian
An Information Theoretic Evaluation of Software Metrics for Object Lifetime Prediction.
In: 2nd Workshop on Statistical and Machine learning approaches to ARchitectures and compilaTion (SMART'08).
(Full text available)
Accurate object lifetime prediction can be exploited by allocators to improve the performance of generational garbage collection by placing immortal or long-lived objects directly into immortal or old generations. Object-oriented software metrics are emerging as viable indicators for object lifetime prediction. This paper studies the correlation of various metrics with object lifetimes. However, to date most studies have been empirical and have not provided any information theoretic underpinning. We use the information theoretic calculation of normalized mutual information to measure correlation. We assess which metrics are most useful for prediction and construct some simple yet accurate object lifetime predictors.
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