Abstract
Performance predictions based on design documents aim at improving the quality of software architectures. In component-based architectures, it is difficult to specify the performance of individual components, because it depends on the deployment context of a component, which may be unknown to its developers. The way components are used influences the perceived performance, but most performance prediction approaches neglect this influence. In this paper, we present a specification notation based on annotated UML diagrams to explicitly model the influence of parameters on the performance of a software component. The UML specifications are transformed into a stochastical model that allows the prediction of response times as distribution functions. Furthermore, we report on a case study performed on an online store. The results indicate that more accurate predictions could be obtained with the newly introduced specification and that the method was able to support a design decision on the architectural level in our scenario.
This work is supported by the German Research Foundation (DFG), grant GRK 1076/1.
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Koziolek, H., Happe, J., Becker, S. (2006). Parameter Dependent Performance Specifications of Software Components. In: Hofmeister, C., Crnkovic, I., Reussner, R. (eds) Quality of Software Architectures. QoSA 2006. Lecture Notes in Computer Science, vol 4214. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11921998_15
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DOI: https://doi.org/10.1007/11921998_15
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