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Static Analysis for Microservices: Boosting Accuracy from 0.86 to 0.91 F1

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Manage episode 481389573 series 3662367
Content provided by podcast_v0.1. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by podcast_v0.1 or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://staging.podcastplayer.com/legal.
Microservice architectures, while beneficial, can be notoriously complex to understand and visualize. Static analysis tools aim to automatically recover this architecture, crucial for development, maintenance, and CI/CD integration. This episode explores a new study that benchmarks nine static analysis tools, assessing their accuracy for microservice applications. The research uncovers varied performance among individual tools but highlights a powerful discovery: combining their outputs significantly boosts accuracy. Learn how this synergistic approach can elevate the F1-score from 0.86 for the best single tool to an impressive 0.91. We'll also touch on the challenges in tool reproducibility found by the researchers and the study's focus on Java Spring applications. Tune in to find out how you can achieve a more comprehensive and accurate view of your microservice landscape.
Read the original paper: http://arxiv.org/abs/2412.08352v1
Music: 'The Insider - A Difficult Subject'
  continue reading

15 episodes

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Manage episode 481389573 series 3662367
Content provided by podcast_v0.1. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by podcast_v0.1 or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://staging.podcastplayer.com/legal.
Microservice architectures, while beneficial, can be notoriously complex to understand and visualize. Static analysis tools aim to automatically recover this architecture, crucial for development, maintenance, and CI/CD integration. This episode explores a new study that benchmarks nine static analysis tools, assessing their accuracy for microservice applications. The research uncovers varied performance among individual tools but highlights a powerful discovery: combining their outputs significantly boosts accuracy. Learn how this synergistic approach can elevate the F1-score from 0.86 for the best single tool to an impressive 0.91. We'll also touch on the challenges in tool reproducibility found by the researchers and the study's focus on Java Spring applications. Tune in to find out how you can achieve a more comprehensive and accurate view of your microservice landscape.
Read the original paper: http://arxiv.org/abs/2412.08352v1
Music: 'The Insider - A Difficult Subject'
  continue reading

15 episodes

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