A Model for Detecting Conflicts and Dependencies in Non-Functional Requirements Using Scenarios and Use Cases

The present research work proposes a model of association and identification of conflicts and dependencies in non-functional requirements through scenarios and use cases. The idea of achieving these identifications will make possible to minimize errors in the management of non-functional requirements. The way in which these conflicts and dependencies are found is through of 3 components: Elastic Search which is a search engine, Kibana, a plugin that works with Elastic Search for the visualization of data and MAICD, which is a web application we developed in.NET that uses NEST (an Elastic Search API). First, we specify all possible scenarios and non-functional requirements of a software project. Then, we perform text analysis on this data with the help of Elastic Search. Finally, results are shown in the web application MAICD with the corresponding visualizations in Kibana