The three pillars of machine programming
Name
1803.07244.pdf
Description
Submitted version
Size
573.25 KB
Format
Adobe PDF
Checksum (MD5)
1abb05647570def42dd03119c5fcd10d
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
Date Issued
June 2018
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
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.
MIT 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
Terms of Use
Creative Commons Attribution-Noncommercial-Share Alike
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1145/3211346.3211355
