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An Information Theoretic Evaluation of Software Metrics for Object Lifetime Prediction

Singer, Jeremy, Marion, Sebastien, Brown, Gavin D., Jones, Richard E., Lujan, Mikel, Ryder, Chris, Watson, Ian (2008) 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). . , Goteborg, Sweden (KAR id:23960)

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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.

Item Type: Conference or workshop item (UNSPECIFIED)
Uncontrolled keywords: Software metrics, Garbage collection, Object lifetime, Object-oriented programming, Java
Subjects: Q Science > QA Mathematics (inc Computing science) > QA 76 Software, computer programming,
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Computing
Depositing User: Richard Jones
Date Deposited: 29 Mar 2010 12:09 UTC
Last Modified: 16 Nov 2021 10:02 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/23960 (The current URI for this page, for reference purposes)
Jones, Richard E.: https://orcid.org/0000-0002-8159-0297
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