Helmut Krcmar

Performance characteristics (i.e., response time, through-put, resource utilization) of enterprise applications change for each version due to feature additions, bug fixes or con-figuration changes. Therefore, performance needs to be con-tinuously evaluated to detect performance changes (i.e., im-provements or regressions). This work proposes a perfor-mance change detection process by creating and versioning resource profiles for each application version that is being built. Resource profiles are models that describe the re-source demand per transaction for each component of an enterprise application and their control flow. Combined with workload and hardware environment models, resource profiles can be used to predict performance. Performance changes can be identified by comparing the performance metrics resulting from predictions of different resource pro-file versions (e.g., by observing an increase or decrease of response time). The source of changes in the resulting per-formance metrics can be identified by comparing the profiles of different application versions. We propose and evaluate an integration of these capabilities into a deployment pipeline of a continuous delivery process. Categories and Subject Descriptors C.4 [Performance of Systems]: measurement techniques, modeling technique