An Ontology-based Approach for Software Measurement and Suitability Measurement Repository Evaluation to Apply Statistical Software Process Control in High Maturity Organizations

The escalating demands on the development of software products require software organizations to produce mature software processes that are capable of providing the required levels of quality and productivity. The implementation of statistical process control (SPC) in performance process analysis uses data collected during the course of the project to analyze the behavior of organization processes, identifying actions that are needed for the stabilization and improvement of those processes. An essential element for the SPC application is the suitability of the measures being used. This paper presents the approach proposed in a doctorate thesis to support organizations obtain and maintain measurement repository suitable for SPC, as well as to perform measurements appropriate in this context. The approach is composed by an Instrument for Evaluating the Suitability of a Measurement Repository to SPC, a Software Process Measurement Ontology and a Body of Recommendations for Software Measurement.