``Software-defined-Software: a perspective of machine learning based software production"   

Rubao Lee, Hao Wang, and Xiaodong Zhang 

Proceedings of 38th International Conference on Distributed Computing
Systems (ICDCS'18), Vienna, Austria, July 2-5, 2018.


Abstract

As the Moore’s Law is ending, and increasingly high
demand of software development continues in the human society,
we are facing two serious challenges in the computing field.
First, the general-purpose computing ecosystem that has been
developed for more than 50 years will have to be changed by
including many diverse devices for various specialties in high
performance. Second, human-based software development is not
sustainable to respond the requests from all the fields in the
society. We envision that we will enter a time of developing high
quality software by machines, and we name this as Software defined
Software (SDS). In this paper, we will elaborate our
vision, the goals and its roadmap.