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Onward! 2018
Wed 7 - Thu 8 November 2018 Boston, Massachusetts, United States
co-located with SPLASH 2018
Wed 7 Nov 2018 11:00 - 11:30 at The Loft - Usability and Reusability Chair(s): Elisa Gonzalez Boix

As modern computation platforms become increasingly complex, their programming interfaces are increasingly difficult to use. This complexity is especially inappropriate given the relatively simple core functionality that many of the computations implement. We present a new approach for obtaining software that executes on modern computing platforms with complex programming interfaces. Our approach starts with a simple seed program, written in the language of the developer’s choice, that implements the desired core functionality. It then systematically generates inputs and observes the resulting outputs to learn the core functionality. It finally automatically regenerates new code that implements the learned core functionality on the target computing platform. This regenerated code contains boilerplate code for the complex programming interfaces that the target computing platform presents. By providing a productive new mechanism for capturing and encapsulating knowledge about how to use modern complex interfaces, this new approach promises to greatly reduce the developer effort required to obtain software that executes on modern computing platforms.

Wed 7 Nov

Displayed time zone: Guadalajara, Mexico City, Monterrey change

10:30 - 12:00
Usability and ReusabilityOnward! Papers at The Loft
Chair(s): Elisa Gonzalez Boix Vrije Universiteit Brussel
On the Usage of “Pythonic” Idioms in Python Programs
Onward! Papers
Carol V. Alexandru University of Zurich, José J. Merchante Universidad Rey Juan Carlos, Sebastiano Panichella Zurich University of Applied Science/University of Zurich, Sebastian Proksch University of Zurich, Harald Gall University of Zurich, Gregorio Robles Universidad Rey Juan Carlos
Inference and Regeneration of Programs that Store and Retrieve Data
Onward! Papers
Martin C. Rinard Massachusetts Institute of Technology, Jiasi Shen Massachusetts Institute of Technology, Varun Mangalick MIT