A catalogue of game-specific anti-patterns based on GitHub and game development stack exchange

Microservices are getting commonplace, since they enable obtaining cloud-native applications. Ensuring that applications adhere to microservices' design principles is crucial for microservices to deliver their promises. This includes resolving architectural smells possibly denoting violations of such principles. To this end, we propose μKuRE, a tool for resolving architectural smells in Kubernetes-deployed microservices applications. μKuRE takes as input an application specification in μTOSCA, a microservice-oriented profile of the OASIS standard TOSCA, and the manifest files specifying the application deployment in Kubernetes. μKuRE then automatically detects architectural smells for microservices, and it refactors both the application specification and its deployment to automatically resolve the detected smells. 

Kubernetes-Enabled Detection and Resolution of Architectural Smells for Microservices

A systematic review of refactoring opportunities by software antipattern detection

The successful use of microservice-based applications by large companies has popularized this architectural style. One problem with the microservice architecture is that current techniques for visualising- and detecting anti-pattern are inadequate. This study contributes a method and tool for detecting anti-patterns in microservice architecture based on distributed execution traces. We demonstrate this on an industrial case study.

https://dl.acm.org/doi/pdf/10.1145/3510457.3513066

Automatic Anti-Pattern Detection in Microservice Architectures Based on Distributed Tracing

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Automatic Anti-Pattern Detection in Microservice Architectures Based on Distributed Tracing