Abstract
Performance problems have become more critical during the enterprise software development. For more rapid feedback of performance problems, it is very essential to run the periodic performance regression tests. In the previous research, we have introduced the performance anomaly management framework to minimize the overhead to detect and investigate performance anomalies. Generally the individual performance metric of a test show the performance status under the specific conditions related with the test itself. Therefore, it is required a new approach to indicate the overall status of the multiple performance measures related with a feature or of a whole product. In this paper, we propose our approach using the aggregated performance metric, which is gathered by normalizing the results of related several performance measures using standard score, Z-value.
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Lee, D., Park, JJ. (2012). Software Performance Monitoring Using Aggregated Performance Metrics by Z-Value. In: Lee, G., Howard, D., Kang, J.J., Ślęzak, D. (eds) Convergence and Hybrid Information Technology. ICHIT 2012. Lecture Notes in Computer Science, vol 7425. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32645-5_88
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DOI: https://doi.org/10.1007/978-3-642-32645-5_88
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