Lucas Leal, currently PhD student at LASER, just came back from Milwaukee, Wisconsin, USA, where he presented a paper at the IEEE 43rd Annual Computer Software and Applications Conference (COMPSAC 2019).
The paper, titled The SAMBA Approach for Self-Adaptive Model-Based Online Testing of Services Orchestrations, is the result of a collaboration with the University of Firenze, Italy, where he will also enroll for a double degree (duplo-diploma) PhD course.
To cope with the evolution of services and their orchestrations, the paper presents a Self-Adaptive Model-BAsed online testing framework called SAMBA. SAMBA aims to assess the proper behavior of a SOA during its lifecycle executing model-based online testing at runtime, under the coordination of a MAPE-K control loop. SAMBA is assessed in a case study, where its detection capability are proved through functional, mutation and fault injection tests.
