## 7 Conclusions  
This paper proposes the usage of PTing in the aid of FDD. We presented the BuMPeT method, which uses a metadata model to extend PTing with FDD capabilities. The BuMPeT method presents four procedures, able to narrow down the pool of possible faults causing a filed PT, using metadata queries. The proposed method has been applied to a case study building to assess its validity and benefits, focusing predominantly on experiments with the lighting system in the building. As a threshold for PTs, the BE10 building modeling tool has been used, which reflects Danish building regulations.  
Within this paper, we have examined the extent to which the four procedures comprising the BuMPeT method can aid the FDD process, through examining two real scenarios from a case study building, and two hypothetical scenarios. As a result, the Procedure to discover presence of additional sources and the Procedure to discover location of additional sources have been successfully applied to discover the reason for a failed PT. In one case, the failure of a PT was tied to incorrect meter wiring from outdoor lighting and into the meter from the basement. In the second case, the failure of the PT was linked to fluctuations in occupancy schedules due to exam seasons. This paper further examined a hypothetical scenario in which different subsets of the meters failed a PT. In this case, we evaluated the Miswiring Identification Procedure and Procedure to identify an underperforming area. In the best case, the area of the fault was narrowed down by 46% of the total floor area. The results of the application of this method demonstrate that the symbiosis of metadata and performance testing produce insights into the detection and diagnosis of errors or faults in a highly complex workflow that includes people, software, hardware, and data.  
Usage of metadata models to describe buildings' metadata is a part of the movement for the future development of the building industry. Providing machine-readable technical documentation during building-handover is key to automating various FDD and PTing processes. The development of the BuMPeT method in light of PTing and FDD is a clear step towards automating FDD without human input.  
[PERSON] and [PERSON] fully conceptualized the BuMPeT method. [PERSON] wrote the majority of the manuscript, developed the performance tests, calculated the performance test results, and visualized their results. [PERSON] developed the Brick model and a tight collaboration formed the Brick queries within the procedures. [PERSON] contributed through general supervision of the development of the BuMPeT method, reviewing the manuscript, and editing it. [PERSON]-[PERSON] reviewed and edited the manuscript, in addition to reflecting on the FDD aspects of performance testing in light of BuMPeT. [PERSON] supervised the developed method and reviewed the manuscript, in particular the sections about the BE10 model. [PERSON] contributed through funding acquisition, supervision of the first author, and reviewing the manuscript.  
This research was carried out under COORDICY Project, funded by Innovation Fund Denmark, ID number: 4106-00003B.  
The authors declare no conflict of interest. The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript, or in the decision to publish the results.