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Showing posts from March, 2018

Big Code Science

I am pitching "Big Code Science" (my take on the mashup of mining software repositories, source-code analysis, program comprehension, etc.) to an inter-faculty audience at my university. (I am about to start an extended unpaid leave of absence to join Facebook and do work possibly a bit related to big code science.) I will just have 15min in a brown-bag setting and thus, I am going to use images, charts, and simple messages. Title : Big Code Science Abstract : Code Science is Data Science for code. Big Code Science is the scientific approach to accessing, analyzing, and understanding big data where the data here is code or data related to software development. There is several reasons why Big Code Science has taken off. (i) Open Source development has exploded in the last 10 years so that we have access to terabytes of source code, version history, developer communication, documentation, release infos, bug tracking info, etc.; not trying to learn from the past would be cr