  Micro-services are a common architectural approach to software development
today. An indispensable tool for evolving micro-service systems is A/B testing.
In A/B testing, two variants, A and B, are applied in an experimental setting.
By measuring the outcome of an evaluation criterion, developers can make
evidence-based decisions to guide the evolution of their software. Recent
studies highlight the need for enhancing the automation when such experiments
are conducted in iterations. To that end, we contribute a novel artifact that
aims at enhancing the automation of an experimentation pipeline of a
micro-service system relying on the principles of self-adaptation. Concretely,
we propose SEAByTE, an experimental framework for testing novel self-adaptation
solutions to enhance the automation of continuous A/B testing of a
micro-service based system. We illustrate the use of the SEAByTE artifact with
a concrete example.
