Code Synthesis in Self-improving Software Systems

Rodrigues Filho, Roberto and Wild, Alexander and Porter, Barry (2019) Code Synthesis in Self-improving Software Systems. In: International Workshop of Self-Improving System Integration. IEEE, pp. 4-5. ISBN 9781728124070

[img]
Preview
PDF (sissy2019rodrigues)
sissy2019rodrigues.pdf - Accepted Version
Available under License Creative Commons Attribution-NonCommercial.

Download (58kB)

Abstract

This paper aims at provoking a wide discussion around code synthesis and its importance in creating the next generation of self-improving software systems. As a starting point for the discussion, a machine-to-machine self-improving framework is presented. The framework aims at improving system's performance by integrating two modules: i) a self improving online module, and ii) a code synthesiser offline module. The online module learns, at runtime, as it handles the system’s inputs, how to best compose the system from a pallet of available software components and a user-defined high level goal. The offline code synthesiser generates new components based on the perceived system’s input, executing environment and the system’s goal provided by the online module. The code synthesiser then provides better component options for the online module to integrate with the system to improve its performance. The paper describes the framework, focusing on its main challenges.

Item Type:
Contribution in Book/Report/Proceedings
Additional Information:
©2019 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
ID Code:
133281
Deposited By:
Deposited On:
01 May 2019 11:00
Refereed?:
Yes
Published?:
Published
Last Modified:
25 Sep 2020 05:48