Computer Science – Performance
Scientific paper
Dec 2002
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2002spie.4844..104d&link_type=abstract
Observatory Operations to Optimize Scientific Return III. Edited by Quinn, Peter J. Proceedings of the SPIE, Volume 4844, pp
Computer Science
Performance
Scientific paper
The development and tracking of Hubble Space Telescope science operations metrics will be described. In order for such metrics to be meaningful, they must be clearly linked to well-defined scientific contributions the observatory staff makes to the overall mission. The process for defining these contributions for HST, and then developing the appropriate metrics will be discussed. The process of developing and using metrics must take into account the fact that some may be more quantifiable than others. The fact that a metric is not easy to quantify does not necessarily detract from its importance or usefulness. Examples from the HST suite of metrics will be used to illustrate these situations. Operational metrics and data are also important at the subsystem level, to provide guidance in the process of trying to improve performance against the high-level science metrics. To the extent possible, the development of a system for capturing metric information should provide information useful at both these levels. These points will also be discussed in the context of examples from the HST suite of metrics. Our experiences to date with the collection and presentation of metric information will also be discussed.
Downes Ron
Doxsey Rodger Evans
Lallo Matt
Reinhart Merle
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