APPLYING DYNAMIC DEPENDENCY INJECTION TOWARDS TEST CASE REDUCTION ON DISTRUBUTED SPATIAL DATA MANAGEMENT

摘要

The transfer and retrieval of spatial data is often looked as a laborious and time consuming one, especially if the participating entities are geographically separated. With the advent of modern cutting edge technologies like cloud computing being offered in almost all hosting platforms by various vendors, managing the geospatial data is inevitable. Testing a complete system that involves synchronization among the actors is versatile due to the complex interactions it got. Deciding to choose a nearest end point of service merely by location may not be successful at all times as in most cases the delay in execution is caused by peak loads hitting up the server. Thanks to dependency injection, dynamically routing the requests and setting up the optimal route on the fly has proven non-futile. We have attempted to simulate a cloud based service, accessible over endpoints which are published at various geo-locations and use dependency injection in accessing the complete functional test coverage. A complete mock is also attempted on situations where all the participating actors were down, using the historic response before proclaiming a failure, thus improving the system coverage within minimal span of time.