Ph.D. Program in Software Engineering, Institute for Software Research
Carnegie Mellon University
Dissimilarity Measures for Space Mission Architectures
While space missions have historically consisted of a single spacecraft, the emergence of small, light, and relatively inexpensive spacecraft such as Smallsats and Cubesats have inspired interest in multi-spacecraft missions. This development presents new challenges for mission designers, who must decide how many spacecraft to use, how they should communicate, whether they should be homogeneous or heterogeneous, etc. The application of model transformations to the process of design space exploration and multi-objective optimization allows for comprehensive exploration of an architectural trade space. For many applications, such as the design of missions involving multiple spacecraft, the resulting set of Pareto-optimal solution models can be too large to be consumed directly, requiring additional analyses in order to gain meaningful insights. In this talk, I will explain our investigation in the use of automated clustering techniques for grouping similar solution models to facilitate more effective design space exploration.