We performed the evaluation of our approach with four small experiments; first, we analysed practically what it means
for a developer to port a JDBC-based Java code to J% code, we exhibit how the SQL errors are identified at and presented to the
programmer, we ported five Java projects that are using SQL, to examine what impact the J% code has on a project in terms of
common size metrics, such as LOC, and finally we measured the overall compilation overhead against the standard Java
compiler. The results presented in the following sections should be used as an insight to J%'s impact, since to evaluate it
thoroughly thousands lines of code from many developers must be written and analysed. Still, we depict some early
indications on the effectiveness of our approach.