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Data envelopment analysis (DEA) models are often used for benchmarking software projects, and traditional DEA models only allow for the use of continuous variables. This study considers the use of DEA for datasets with mixed continuous and discrete variables to ranking software projects. It uses the existing radial DEA model and extends the nonradial DEA model to allow for the use of mixed variables...
When a project has concluded, the computers turned off, the source files archived, and the personnel reassigned, how do you measure its success? IT managers have suspected for a long time that a successful software project doesn't just deliver the right system built the right way, but rather makes other kinds of contributions to enriching the enterprise, such as providing personnel with valuable training...
The aim is to report on an initial exploratory statistical analysis of the relationship between software productivity and its influencing factors in China. We analyzed of a data set containing project measurement data which were collected from lots of IT companies in China by China Software Benchmarking Standards Group (CSBSG), established by China Software Process Improvement Network (CSPIN), China...
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