| Contents (2008) | |||||||||||||||
Abstract | |||||||||||||||
| The importance of software measurement gathered by measuring artifacts emerging during the software development process for economic and scientific purposes is beyond controversy, these days. To expand those data towards empirical series of measurement and thus to benefit from it in the longrun, a structured and persistent storage is almost compulsory. Depending on the kind and extent of the measured software artifacts as well as on the intended purpose, basically three different kinds of software measurement storage facilities are classified after an explanation of their basic principles: spreadsheets, databases, and repositories. In addition, important statistical techniques for data analysis and visualization techniques are outlined. Over and above a file-based visualization tool and a CAME | |||||||||||||||
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