Abstract: 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.

Abstract: A software artifact is scored for a user. Metadata associated with an artifact about project activity of how active an artifact project is to which the artifact belongs, a security risk indicated in the metadata of the artifact, or a license indicated in the metadata of the artifact, is collected from a software repository. A weighting of the artifact alone is determined from the metadata associated with the artifact that indicates desirability of the project activity, the security risk, or the license. The metadata associated with the artifact is compared to appropriateness with a metadata of a user project to which the user belongs as indicated by a profile of the user, so as to provide a score considering the determined weighting of the artifact and a appropriateness of the artifact for the user with respect to an intended use of the artifact by the user.