A Multivariate Characterization and Detection of Software Performance Antipatterns
Alberto Avritzer, Ricardo Britto, Catia Trubiani, Barbara Russo, Andrea Janes, Matteo Camilli, André van Hoorn, Robert Heinrich, Martina Rapp, Jörg Henß · 2021
Context. Software Performance Antipatterns (SPAs) research has focused on algorithms for the characterization, detection, and solution of antipatterns. However, existing algorithms are based on the analysis of runtime behavior to detect trends on several monitored variables (e.g., response time, CPU utilization, and number of threads) using pre-defined thresholds. Objective. In this paper, we introduce a new approach for SPA characterization and detection designed to support continuous integration/delivery/deployment (CI/CDD) pipelines, with the goal of addressing the lack of computationally efficient algorithms.