I'd appreciate your thoughts on this, even half-baked ones. Anything I've left out? Anything that seems superfluous?
My current feeling is that the biggest omission might be the absence of machine learning and statistical methods. These are not required to have a decent programming career today (and I know little about them myself), but are becoming increasingly important. I have a feeling that those things might become critical over the next 2 decades, in the same way that knowing how to write code that uses Internet protocols has gradually become de rigeur since 1995.
Please feel free to share further and to contact me with any questions.
We have a great set of Invited speakers: Koushik Sen, Atanas Rountev, Frank Tip, and Ben Hardekopf.
See the workshop web site for information about paper submission.
4th ACM SIGPLAN International Workshop on the
State Of the Art in Program Analysis
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