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Extending Data Lineage Analysis for Python with Runtime Types
 Luňák, Václav ; Parízek, Pavel (advisor) ; Petříček, Tomáš (referee)
There is an increasing demand in the domain of data science for auto- mated tools analyzing the data lineage of software systems. In situations where general-purpose programming languages are used, Python is among the most popular choices. It is also one of the most challenging to analyze. Manta Flow is an automated data lineage analysis platform that contains a scanner for Python. In this work, we developed an extension of this scanner. Its purpose is to statically determine the types of expressions in an analyzed application. We achieved this by expanding the concept of data flows to carry type information and we appropriately refactored the internals of the scanner. This information was then used to implement an improved method for finding the targets of function invocations during the analysis of data flows.
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