The EternalS Roadmap – Defining a Research Agenda for Eternal Systems - Trustworthy Eternal Systems via Evolving, Software Data and Knowledge - page 146

- Resolving differences in current approaches and seeking reconciliation be-
tween the approaches of automata learning and kernel methods to produce
a universal model.
- Application of machine learning techniques to learn systems behaviour and
semantics and thereby assist automated software composition
Fig. 1. Table outlining broad research challenges and estimated diculty to achieve
tangible results, rated from 1 to 5
6Conluon
This paper gives an overview of the EternalS project and the roadmapping pro-
cess, its objectives and a summary of the main areas of focus. Certain key areas
of software engineering are introduced and their relevance to Eternal Systems
is explained. Machine Learning is introduced as a potentially effective tool to
help address some of the core challenges. The main future research areas are dis-
cussed at some length and topics which would be considered to be both valuable
and interesting in their respective areas are outlined. For more information, the