  The goal of this technical report is to give the details of a real world
existing sub-system in the automotive industry. It is produced to be used for
reproduction of the same experiment if other researchers are interested in.
Hence, it would be possible to compare the results of our published studies
with the results of similar tools. The data is collected for the purpose of
applying metaheuristic optimization approaches. The case study based on these
data shows that metaheuristic optimization approaches can find efficient
solutions for multiple quality attributes while fulfilling given constraints.
  The case study was conducted at Saab Automobile AB in order to evaluate the
AQOSA framework in an industrial context. AQOSA (Automated Quality-driven
Optimization of Software Architecture) is our architecture optimization
framework that supports multiple quality attributes including response time,
processor utilization, bus utilization, safety and cost.
  To enable validation of the results we selected an existing realization for
the Saab 9-5 Instrument Cluster Module ECU (Electronic Control Unit) and the
surrounding sub-systems. The goal of the case study is to find a better
solution than the current realization while fulfilling the requirements and
constraints. The results of the case study and the details of AQOSA framework
is reported in a paper from the authors in Journal of Systems and Software,
Special Issue on Quality Optimization of Software Architecture and Design
Specifications.

Software Engineering