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Two major issues related to storing program information in an OODB are sharing and clustering. The former is important since it prevents the database from consuming excessive disk space, while the latter is crucial, since it keeps clients running without thrashing. In our database, objects are shared across multiple programs' translation units, and are clustered by combining three techniques, namely, birth-order, death-order, and sharing-oriented clusterings. An initial experiment shows that,doi:10.1145/191080.191146 dblp:conf/oopsla/Onodera94 fatcat:msle7mwlsraxxm5aqro4m3cn64