Abstract
Performance is an important aspect of software quality. To prevent performance degradation during software development, performance can be monitored and software modifications that damage performance can be reverted or optimized. Regression benchmarking provides means for an automated monitoring of performance, yielding a list of software modifications potentially associated with performance changes. We focus on locating individual modifications as causes of individual performance changes and present three methods that help narrow down the list of modifications potentially associated with a performance change. We illustrate the entire process on a real world project.
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Kalibera, T., Bulej, L., Tuma, P. (2005). Quality Assurance in Performance: Evaluating Mono Benchmark Results. In: Reussner, R., Mayer, J., Stafford, J.A., Overhage, S., Becker, S., Schroeder, P.J. (eds) Quality of Software Architectures and Software Quality. QoSA SOQUA 2005 2005. Lecture Notes in Computer Science, vol 3712. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11558569_20
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DOI: https://doi.org/10.1007/11558569_20
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