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Quality, Improvement and Measurements in High Risk Software
Abstract
We aim to improve quality in software engineering projects by introducing Verification and Validation (V&V) best practices in terms of process, artifacts, and quality performance indicators. We present a Quality Measurement Management Tool (QMT) in order to support quality activities and process. This tool is based on a measurement meta-model repository for collecting, storing, analyzing and reporting measurement data. It is important to note that the proposed QMT supports the IEEE Standard 1012 for Software Verification and Validation (management, acquisition, supply, development, operation, and maintenance), as well as measurement information needs to Capability Maturity Model Integration (CMMI) processes and products requirements. Our repository is generic, flexible, and integrated, supporting a dynamic measurement system. It was originally designed to support Ericsson Research Canada’s business information needs.
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