• microservices
• microservices architectures
• software architecture mining

The design, implementation, and operation of microservice-based applications are known to be complex and costly, mainly because of the multitude of heteregeneous software components forming a microservice-based application. In this perspective, the availability of a description of the architecture of a microservice-based application can help analysing and maintaining such application. However, the number of services and service interactions in a microservice-based application makes the manual generation of such an architectural description costly. In this thesis, we present a methodology for automatically generating a description of the architecture of a microservice-based application by mining such architecture from its Istio-enabled Kubernetes deployment. The obtained architectural representation is marshalled to microTOSCA, a Microservice-oriented profile of the human- and machine-readable OASIS standard TOSCA. We also present a prototype implementation of our methodology, which we use to assess our methodology by running four case studies based on four different third-party applications.