Version-adaptive serialization and deserialization

Details Version-adaptive serialization and deserialization Version-adaptive serialization and deserialization

2011-08-23

2011-08-23

Ho, Andy (Department: 2194)

Electrical computers and digital processing systems: interprogra

Remote procedure call

C717S108000

Reexamination Certificate

active

08006253

ABSTRACT:
Methods for serializing and deserializing a program object are disclosed. Serialized data may be generated to convey a representation of the program object. The serialized data may include data identifying a class for the program object, and a data type and at least one data value for each data member comprising the program object. The program object may be reconstructed from the serialized data according to a definition of the identified class. A received data member may be reconstructed if the received data type is an expected data type according to the class definition. A received data member may be ignored if the expected data type according to the class definition is a null data type. Default data may be substituted for a received null data member if the expected data type according to the class definition is not a null data type. The received data type may be converted to an expected data type according to the class definition.

REFERENCES:
patent: 6233730 (2001-05-01), Todd et al.
patent: 6298353 (2001-10-01), Apte
patent: 6438559 (2002-08-01), White et al.
patent: 6477701 (2002-11-01), Heistermann et al.
patent: 6906646 (2005-06-01), Mills et al.
patent: 6928488 (2005-08-01), de Jong et al.
patent: 7020666 (2006-03-01), Doise et al.

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