39.8 percent of respondents use AI for writing code frequently, versus 30.9 percent last year. There is also more use of AI for other tasks such as writing tests (up from 20 to 33 percent) and for debugging (up from 11.5 to 23.6 percent).
The module is part of the National Aviation Passenger Allocation Model, or NAPAM, which forecasts passenger airport choices. It consists of about 10,000 lines of code written in a Microsoft .NET C++ environment with Excel used for data input and output. It carries out iterative calculations until these hit a set value such as an airport's maximum number of passengers.