As described above, oral collection of location and other incident data is time consuming, error prone and sometimes even impossible.
An improper process model will be time consuming, error-prone and cost expensive, and further lower the quality of software.
In addition, visual inspection for discriminating EEG signals is a time consuming, error prone, costly process and not sufficient enough for reliable information.
However, applying these definitions manually on large datasets is time consuming, error-prone, and therefore, needs development of expensive software tools.
Currently, the adaptation of construction schedules is a manual, time consuming, error prone, and therefore poorly supported process (Song and Eldin 2012).
Also, the requirement for blood drawing, transport to the testing lab, blood processing, test execution, and communication of results is cumbersome, time consuming, error prone and costly, which detract from its diagnostic value.
Usually controllers are parameterised by trial-and-error which is very time consuming and error-prone.
Conventional methods of runoff estimation using SCS model are time consuming and error prone.
Collecting all the necessary information from different sources is time consuming and error prone.
For small scale systems this can be done manually, but the process is time consuming and error-prone.
