I can parse you: Grammars for dialogs
Martin Hirzel, Louis Mandel, et al.
SNAPL 2017
Stream processing is a computational paradigm that allows the analysis of live data streams as they are produced. This paper describes a programming model, based on enhancements to spreadsheets, that enables users with limited programming experience to participate directly in the development of complex streaming applications. The programming model augments a conventional spreadsheet with streaming features that permit operating over unbounded data sets despite the finite interface provided by the spreadsheet. The new constructs include time-based windows and partitioning. We introduce a spreadsheet compiler that generates C++ code to achieve integration with existing stream processing systems. Our experimental study illustrates the expressivity of the new features and finds that our implementation is between 8x slower and 2x faster than hand-written stream programs.
Martin Hirzel, Louis Mandel, et al.
SNAPL 2017
Martin Hirzel, Johannes Henkel, et al.
ACM SIGPLAN Notices
Guillaume Baudart, Javier Burroni, et al.
PLDI 2021
Nikitha Rao, Jason Tsay, et al.
MSR 2022