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An Information Theoretic Evaluation of Software Metrics for Object Lifetime Prediction

By Jeremy Singer, Sebastien Marion, Gavin D. Brown, Richard E. Jones, Mikel Lujan, Chris Ryder and Ian Watson

Abstract

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

Topics: QA76
Year: 2008
OAI identifier: oai:kar.kent.ac.uk:23960

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