Validation Process in Software Engineering: An example with Function Point
Jean‐Marc Desharnais, Pam Morris · Deutscher Universitätsverlag eBooks · 1997
Benchmarking 1 studies based on actual data supplied by many industrial sites require two types of validation: validation of the collection process as well as validation of the data supplied to the researchers. The former validation will be referred to as a priori validation and the later one as a posteriori validation. The a priori validation will review all the steps and procedures of the data collection process within benchmarking data. The a posteriori validation will establish the degree of quality of the data collected and, wherever required, will eliminate from the comparative studies the data deemed not reliable. Both types of validation are required to ensure the quality and the integrity of the data for meaningful benchmarking studies in software engineering due the current immaturity of both software metrics and software engineering processes at industrial sites as assessed the maturity model developed by the Software Engineering Institute (USA).