  Testing and validating Cyber-Physical Systems (CPSs) in the aerospace domain,
such as field testing of drone rescue missions, poses challenges due to
volatile mission environments, such as weather conditions. While testing
processes and methodologies are well established, structured guidance and
execution support for field tests are still weak. This paper identifies
requirements for field testing of drone missions, and introduces the Field
Testing Scenario Management (FiTS) approach for adaptive field testing
guidance. FiTS aims to provide sufficient guidance for field testers as a
foundation for efficient data collection to facilitate quality assurance and
iterative improvement of field tests and CPSs. FiTS shall leverage concepts
from scenario-based requirements engineering and Behavior-Driven Development to
define structured and reusable test scenarios, with dedicated tasks and
responsibilities for role-specific guidance. We evaluate FiTS by (i) applying
it to three use cases for a search-and-rescue drone application to demonstrate
feasibility and (ii) interviews with experienced drone developers to assess its
usefulness and collect further requirements. The study results indicate FiTS to
be feasible and useful to facilitate drone field testing and data analysis
