SYSTEM AND METHOD FOR RECOMMENDING SOFTWARE ARTIFACTS

A system and method are discussed that relate to recommending one or more software artifacts to an artifact user. Characteristic information about the artifact user and about a desired artifact is obtained. First metadata about each of one or more candidate artifacts is retrieved. A score is assigned to each of the one or more candidate artifacts, based on a first evaluation of one or more predetermined criteria applied to the retrieved first metadata. The scored artifacts are scaled based on a second evaluation of each of the one or more scored artifacts, the scaling being in view of the characteristic information about the artifact user and the characteristic information about the desired artifact. Finally, one or more scaled artifacts are recommended to the artifact user based on the second evaluation applied to each of the one or more scored artifacts, that is based on the scaled scores.