Component recovery supports program understanding, architecture recovery, and re-use. Among the best known techniques for detection of re-usable objects (related global variables and their accessor functions) is Delta-IC. This paper re-visits the origin approach and extends it in different ways. It describes a variant of Delta-IC suitable for reverse engineering that omits the slicing step of the original approach. The underlying metric of Delta-IC is extended toward types integrating ideas of the Internal Access technique such that abstract data types can also be detected. Furthermore, the connectivity metric of Delta-IC is combined with a cohesion metric based on vertex connectivity. The new metrics and the new algorithm for reverse engineering are quantitatively evaluated using the framework proposed in as a standard evaluation of clustering techniques for component recovery.