Model-Based Performance Evaluations in Continuous Delivery Pipelines

In order to increase the frequency of software releases and to improve their quality, continuous integration (CI) systems became widely used in recent years. Unfortunately, it is not easy to evaluate the performance of a software release in such systems. One of the main reasons for this difficulty is often the lack of a test environment that is comparable to a production system. Performance models can help in this scenario by eliminating the need for a production-sized environment. Building upon these capabilities of performance models, we have introduced a model-based performance change detection process for continuous delivery pipelines in a previous work. This work presents an implementation of the process as plug-in for the CI system Jenkins.     «

In order to increase the frequency of software releases and to improve their quality, continuous integration (CI) systems became widely used in recent years. Unfortunately, it is not easy to evaluate the performance of a software release in such systems. One of the main reasons for this difficulty is often the lack of a test environment that is comparable to a production system. Performance models can help in this scenario by eliminating the need for a production-sized environment. Build...     »