Toward a method for deriving measures of reuse

A variety of software models exist to model software, both OO and non-OO. Measurement of the amount of reuse is difficult because measures need to be re-invented for each new software model and the data gathered can be subject to variation based on expertise. To cope with these problems, a tool and method are presented that support measurement for the amount of reuse with different software models, including composition and generation approaches and the effect of expertise on historical data. Although the tool helps identify and measure the amount of reuse without re-compilation or construction of a new tool, construction of model specific translators for model importing and classification of the software model are still required. Further research in this area includes refinement for internal reuse and streamlined development of translators. Nonetheless, meta-modelling helps make measurement more flexible and, combined with set theory, is an effective foundation for exploring theories of reuse measurement