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| Paper: |
Business Intelligence Applied to the ALMA Software Integration Process |
| Volume: |
461, Astronomical Data Analysis Software and Systems XXI |
| Page: |
861 |
| Authors: |
Zambrano, M.; Recabarren, C.; González, V.; Hoffstadt, A.; Soto, R.; Shen, T.-C. |
| Abstract: |
Software quality assurance and planning of an astronomy project is a complex
task, specially if it is a distributed collaborative project such as ALMA, where
the development centers are spread across the globe. When you execute a software
project there is much valuable information about this process itself that you
might be able to collect. One of the ways you can receive this input is via an
issue tracking system that will gather the problem reports relative to software
bugs captured during the testing of the software, during the integration of the
different components or even worst, problems occurred during production
time. Usually, there is little time spent on analyzing them but with some
multidimensional processing you can extract valuable information from them and
it might help you on the long term planning and resources allocation.
We present an analysis of the information collected at ALMA from a collection of
key unbiased indicators. We describe here the extraction, transformation and
load process and how the data was processed. The main goal is to assess a
software process and get insights from this information. |
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