Adaptive Software Management for Economic Drone: Leveraging Software Product Line Engineering for Multi-Mission Efficiency

The control of software within drone ecosystems is a critical aspect of UAV (Unmanned Aerial Vehicle) operations. Drones assigned to multiple missions, such as surveillance, delivery, or search and rescue, require adaptable software configurations for efficient management. The use of Software Product Line Engineering (SPLE) has emerged as a promising approach to address these needs, allowing for the creation of modular, reconfigurable software that can be easily tailored to different mission requirements. SPLE enables the efficient preparation of drones for varied tasks, reducing development time and operational costs. Moreover, autonomous drone systems add complexity, requiring flexible software reconfiguration mechanisms. By implementing SPLE, the drone software ecosystem becomes more sustainable and flexible, ensuring effective operation across diverse flight scenarios. In obtaining adaptive flight mission, this work adopted models@runtime to provide on the fly reconfiguration with specific constraints. Such constraint deals with energy, manoeuvrability, distance and reliability to support flexibility of a simple drone. Some challenges arise in this work including sensor fusion to support flight management as a result of the absence of sophisticated navigation support devices. This paper discusses the importance of SPLE in enhancing the operational efficiency and adaptability of economic drones in dynamic mission environments by utilizing transition model.