abstract = "Block-based programming languages enable young
learners to quickly implement fun programs and games.
The Scratch programming environment is particularly
successful at this, with more than 50 million
registered users at the time of this writing. Although
Scratch simplifies creating syntactically correct
programs, learners and educators nevertheless
frequently require feedback and support. Dynamic
program analysis could enable automation of this
support, but the test suites necessary for dynamic
analysis do not usually exist for Scratch programs. It
is, however, possible to cast test generation for
Scratch as a search problem. In this paper, we
introduce an approach for automatically generating test
suites for Scratch programs using grammatical
evolution. The use of grammatical evolution clearly
separates the search encoding from framework-specific
implementation details, and allows us to use advanced
test acceleration techniques. We implemented our
approach as an extension of the Whisker test framework.
Evaluation on sample Scratch programs demonstrates the
potential of the approach.",