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The three pillars of machine programming

Author(s)
Gottschlich, Justin; Solar Lezama, Armando; Tatbul Bitim, Emine Nesime; Carbin, Michael James; Rinard, Martin C; Barzilay, Regina; Amarasinghe, Saman P; Tenenbaum, Joshua B; Mattson, Tim; ... Show more Show less
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Creative Commons Attribution-Noncommercial-Share Alike http://creativecommons.org/licenses/by-nc-sa/4.0/
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Abstract
In this position paper, we describe our vision of the future of machine programming through a categorical examination of three pillars of research. Those pillars are: (i) intention, (ii) invention, and (iii) adaptation. Intention emphasizes advancements in the human-to-computer and computer-to-machine-learning interfaces. Invention emphasizes the creation or refinement of algorithms or core hardware and software building blocks through machine learning (ML). Adaptation emphasizes advances in the use of ML-based constructs to autonomously evolve software.
Date issued
2018-06
URI
https://hdl.handle.net/1721.1/129780
Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science; Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory; Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences
Journal
MAPL 2018: Proceedings of the 2nd ACM SIGPLAN International Workshop on Machine Learning and Programming Languages
Publisher
Association for Computing Machinery (ACM)
Citation
Gottschlich, Justin et al. "The three pillars of machine programming." MAPL 2018: Proceedings of the 2nd ACM SIGPLAN International Workshop on Machine Learning and Programming Languages, June 2018, Philadelphia, Pennsylvania, Association for Computing Machinery, June 2018 © 2018 ACM
Version: Original manuscript
ISBN
9781450358347

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