# Requirements Engineering for a Drone-Enabled Integrated Humanitarian Logistics Platform
## 6 Results
### Non-Parametric Tests
#### 6.2.3 Interpretation of the Non-Parametric Test Results  
Out of the 14 requirements identified by the Mann-Whitney U tests as significantly different rankings, only 3 had been ranked as \"SHOULD\", with the rest of them being \"MUST\" requirements. Regarding the \"SHOULD\" requirements, end-users rated FRMA_008, specifically the \"Follow path\" option in the FRMA interface, lower than academics did. This divergence in ratings aligns with the comments from end-users who emphasized the importance of UI simplicity, stressing that UIs should be user-centric, allowing users to concentrate on their tasks without being distracted by the interface. Similarly, disaster management professionals rated INT_017 higher than academics. This disparity is relevant to the former group's need for quick and efficient access to specific tools, in this case, Docker images, as substantiated by a relevant comment. MGV_001 was ranked significantly lower by end-users compared to academics and stakeholders. End-users in roles like firefighters, medical professionals, and police officers may prioritize factors directly related to their operational needs during disaster response. They might consider the specific speed of the MGV less critical because it may not directly impact their immediate tasks in a disaster scenario. Moving on to \"MUST\" requirements, CCWA_007 (the \"Follow path\" option in the CCWA), CCWA_014 (warnings raised when sensors are unavailable), RS_001 (installation of personal video cameras for first responders), and SAM_004 (equipping the UAV with a water capturing mechanism for sampling) were all ranked significantly higher by academics and disaster management professionals than end-users. Notably, stakeholders also ranked SAM_004 higher than end-users. Similar to FRMA_008, academics and disaster management professionals value CCWA_007 higher because it offers advanced capabilities for planning and executing disaster response missions, whereas end-users prioritize simplicity and ease of use, therefore considering this functionality as less critical. For CCWA_014, academics and disaster management professionals place a higher emphasis on system reliability, as they recognize the importance of timely warnings in case of sensor malfunction to maintain data accuracy. In contrast, end-users prioritize other aspects, such as system UI simplicity, as mentioned earlier. Academics and disaster management professionals find more value in RS_001 than end-users for several tasks, such as documenting response operations, post-incident analysis, and training improvements. On the contrary, end-users prioritize immediate safety concerns during a crisis, focusing on real-time localization and communication for guidance and personal safety, as well as the detection of immediate threats, such as hazardous gases, radiation, or temperature changes. The majority of end-users raised practicality concerns regarding the use of personal video cameras, citing potential issues such as mobility hindrance. In contrast, the other sensors proposed for risk status monitoring (RS_002: CO detection sensors, RS_003: temperature sensors, RS_004: GPS sensors, RS_005: gas sensors, RS_006: radiation sensors) provide critical real-time data without complicating tasks. Additionally, two end-users expressed reservations regarding privacy and ethical aspects related to video recording during response operations. Academics, disaster management professionals, and stakeholders rated SAM_004 higher than end-users did. Again, end-users may prioritize operational simplicity during real-time disaster operations and consider the addition of a UAV with a water capturing mechanism duplicative, since the UGV already has one. Academics and disaster management professionals could have rated SAM_004 higher because they have a deeper understanding of the technical capabilities and potential benefits with regard to adaptability of deploying an UAV for collecting samples in hard-to-reach areas.