Within the scope of a consulting contract, the aim was to deliver a product recommendation for a learning content management system (LCMS) within a short time for a customer project that is as close as possible to customer requirements. The challenge was that the market for LCMS systems is generally highly competitive and very confusing with a large number of products.
Since requirements can not be directly compared with product properties, a rating system with categories and special selection criteria had to be developed first. By using weighting factors, different scenarios could be compared at the end by changing the weighting.
For the first orientation, a use case diagram has been created for LCMS functions and their user groups:
Detail of selection criteria table (Excel):
Result with special emphasis: The winners were the systems CLIX and ILIAS:
My first attempts with C# server code generation for OpenAPI failed catastrophically. ... Read MoreRandomeal (.NET)
Randomeal is a small .NET standard library which implements a simplified genetic algorithm ... Read MoreBigDecimal (.NET)
BigDecimal represents a decimal number with arbitrary precision. It is based on a ... Read MoreMore Blog Entries