Presence monitoring or intrusion detection in a location/are are examples of \textit{decision-support applications}, i.e., applications where monitoring is used to collect (heterogeneous) data and create situational awareness, which furthers require decisions and/or actions.

As such, \textit{decision-support software} consists of different interconnected components with very diverse roles, whose communication and synchronization are essential for the application functionality and performance. Despite this complexity, software design for decision-support is often driven by short-term functional requirements and only supported by designers’ previous experience. In the current non-systematic approach, mistakes can be easily made, and can be very difficult to repair.

In this work, we describe our \textit{systematic method for efficient and effective decision-support software design}, based on application design-space exploration (DSE). To this end, we describe how to build a design space and present structured methods to traverse the design space towards software solutions that meet user requirements for \textit{both} functionality and performance.

Ate Penders

Thales Research & Technology

Ana Lucia Varbanescu

University of Twente

Gregor Pavlin

Thales Research & Technology

Henk Sips

Delft University of Technology