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Abstract
Software evolution consists in keeping a software system up-to-date and
responsive to ever changing business and technological requirements. The
ideas and work presented in this paper focus on the evolution of complex
database applications, i.e., data intensive software systems comprising a
database. Database migration, database restructuring and database integration
are popular evolution scenarios that involve not only changing
the data components of applications, but also rewriting some parts of the
programs themselves, even when no functional change occurs. In general,
such evolution patterns induce the modification of three mutually dependent
system components, namely the data structures (i.e., the schema
), the data instances and the application programs. When the system
evolves, the consistency that exists between these three artifacts must be
preserved.
In this paper, we focus on the consistency relationship that holds between
the application programs and their database schema. We assume
that the evolution process starts with a schema modification, potentially
challenging this consistency. Our objective is to develop a general consistency
framework for database evolution. The approach to achieve this
objective is the following. First we propose a classification of databaseapplication
programs inconsistencies. The idea is to extend and redefine
existing (in)consistency classification defined in the context of modeldriven
engineering (MDE). Next we present a general approach to consistency
checking and preservation for database applications. This approach
is based on the use of a pivot model for database structures (GER) on
top of which an abstract data manipulation language (LDA) is defined.
Original language | English |
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Publication status | Unpublished - 2007 |
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