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Successful testing processes require excellence in both software testing and management. In order to support well-founded decisions on issues like resource allocation and software release moments, quantitative procedures are indispensable. Since few testing processes have a deterministic course, statistics is very often an appropriate part of such quantitative procedures. Existing tools for software reliability analysis like Casre and Smerfs do not make full use of state-of-the-art statistical methodology or do not conform to best practices in statistics. Thus, these tools cannot fully support sound software reliability analyses. We decided to build a new tool that
In order to meet these requirements we decided to use Java for the interface and the statistical programming language R for the statistical computations. R is open-source free software maintained by a group of top-level statisticians and is rapidly becoming the standard programming language within the statistical community. Our tool is a joint project of Eindhoven University of Technology and Refis . The tool development was financially supported by a grant of the Dutch Innovation Platform.
Features of this tool include:
Available background information
Last modified: March 7, 2017