@inproceedings{98b99e8e93e04ea1b43b637563e72f65,
title = "Detecting Microservice Anti-patterns Using Interactive Service Call Graphs: Effort Assessment",
abstract = "Together with the increasing adoption of microservices, detecting microservice anti-patterns has become a crucial practice. However, the number of tools supporting effective anti-pattern detection is limited . Though involving the human in the loop is useful, it is time-consuming and lacks the accuracy necessary to complete such a task. For such a purpose, we consider visualizing the microservice system architecture using the service view, specifically the service call graph. In this paper, we present a framework to visualize service call graphs in an interactive 3D node-edge model. Utilizing an intermediate representation of the microservice system architecture, we create our interactive model to allow for quicker, more accurate detection.",
keywords = "anti-patterns, Microservices, Smells detection, Visualization",
author = "Austin Huizinga and Garrett Parker and Abdelfattah, \{Amr S.\} and Xiaozhou Li and Tomas Cerny and Davide Taibi",
note = "Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.; Southwest Data Science Conference ; Conference date: 24-03-2023 Through 25-03-2023",
year = "2024",
doi = "10.1007/978-3-031-61816-1\_15",
language = "English",
isbn = "978-3-031-61815-4",
series = "Communications in Computer and Information Science",
publisher = "Springer",
pages = "212--227",
editor = "Henry Han and Erich Baker",
booktitle = "Next Generation Data Science - 2nd Southwest Data Science Conference, SDSC 2023, Revised Selected Papers",
}