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Here are six existing real-world configurable systems with different characteristics: different sizes (42 thousand to 300 thousand lines of code, 192 to millions of configurations), different implementation languages (C, C++, and JAVA), and different configuration mechanisms (conditional compilation, configuration files, and command-line options). The dataset contains the whole population of each system, i.e., all configurations of each system and their performance measurements (the exception is SQLITE, for which the dataset contains 4,553 configurations for prediction modeling and 100 additional random configurations for prediction evaluation). For each system, the performance has been measured using a standard benchmark, either delivered by its vendor (e.g., ORACLE’s standard benchmark for BERKELEY DB) or used widely in its application domain (e.g., AUTOBENCH and HTTPERF for the APACHE Web Server).
performance predict
performance predict
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
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