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There are some
limitations of our work.
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Firstly, annotation
agreement. There are several instances are ambiguous in their functionality
and are therefore hard to assign an appropriate category.
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Secondly, dynamic
analysis is incomplete, because only one path is selected during execution.
So some important runtime features may not be able to get extracted with a
single run. We plan to look into this issue in future.
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Thirdly, choice of
classifier. We mostly used the SMO classifier provided by the Weka machine
learning toolkit. We believe it may not be a best choice for some of our
feature set.
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In future, we plan
to look at source code classification of other languages and we hope we can
make our system a plug-in of Web browsers.
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If you are
interested, you can find our experimental dataset as well as the system
prototype online.
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