  With the increasing complexity of software permeating critical domains such
as autonomous driving, new challenges are emerging in the ways the engineering
of these systems needs to be rethought. Autonomous driving is expected to
continue gradually overtaking all critical driving functions, which is adding
to the complexity of the certification of autonomous driving systems. As a
response, certification authorities have already started introducing strategies
for the certification of autonomous vehicles and their software. But even with
these new approaches, the certification procedures are not fully catching up
with the dynamism and unpredictability of future autonomous systems, and thus
may not necessarily guarantee compliance with all requirements imposed on these
systems. In this paper, we identified a number of issues with the proposed
certification strategies, which may impact the systems substantially. For
instance, we emphasize the lack of adequate reflection on software changes
occurring in constantly changing systems, or low support for systems'
cooperation needed for the management of coordinated moves. Other shortcomings
concern the narrow focus of the awarded certification by neglecting aspects
such as the ethical behavior of autonomous software systems. The contribution
of this paper is threefold. First, we discuss the motivation for the need to
modify the current certification processes for autonomous driving systems.
Second, we analyze current international standards used in the certification
processes towards requirements derived from the requirements laid on dynamic
software ecosystems and autonomous systems themselves. Third, we outline a
concept for incorporating the missing parts into the certification procedure.
