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- W2316590948 abstract "Performance problems are well known on architecture level. On code level their occurrences have not been systematically researched so far. Since a lot of everyday work of software developers is done on code level, methods and tools with focus on frequent performance problems are relevant. In the presented thesis, a method for systematically evaluating the occurrence and the frequency of performance problems on code level is presented and applied to repositories. The results of this empirical research will be a classification of performance problems and a quantification of their frequency. This will raise the awareness on certain problem classes for developers and will provide a basis for the development of new performance tools for preventing performance problems." @default.
- W2316590948 created "2016-06-24" @default.
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- W2316590948 date "2016-03-12" @default.
- W2316590948 modified "2023-09-24" @default.
- W2316590948 title "Empirical Analysis of Performance Problems on Code Level" @default.
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- W2316590948 doi "https://doi.org/10.1145/2851553.2892038" @default.
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