Reusable software services for science data systems
A common science data processing software framework yields the benefits of reuse while remaining adaptable to address requirements that are unique to the mission.
Engineering topics
Publications and source records attributed to Fouser, T..
A common science data processing software framework yields the benefits of reuse while remaining adaptable to address requirements that are unique to the mission.
Explore the source record for details and available documents.
Explore the source record for details and available documents.
The majority of software engineers resist the use of the currently available cost models. One problem is that the mathematical and statistical models that are currently available do not correspond with the mental models of the software engineers. In an earlier JPL funded study (Hihn and Habib-agahi, 1991) it was found that software engineers prefer to use analogical or analogy-like techniques to derive size and cost estimates, whereas curren CER's hide any analogy in the regression equations. In addition, the currently available models depend upon information which is not available during early planning when the most important forecasts must be made.