Automating the mapping of a system’s code to its architecture is important in improving the adoption of successful Software Architecture Consistency Checking (SACC) methods like Reflexion Modelling. InMap is an interactive and iterative code-to-architecture mapping recommendation approach that achieves a rather decent recall and precision of 0.97 and 0.82 respectively, using minimal architecture documentation to apply natural language techniques to a software’s codebase. Nevertheless, InMap like most other automated recommendations techniques maps to architectural modules, low-level source code units like classes. For large complex systems, this can still hinder adoption due to the review effort required by a software architect when accepting or rejecting the recommendations. In this paper, we present a hierarchical package mapping technique that provides recommendations for higher-level source code units, i.e. packages. It utilizes InMap’s information retrieval capabilities to recommend mappings between the software’s packages and its architectural modules. We show that using our proposed technique we are able to reduce the recommendation review effort required by an architect, by 95% on average, for the six systems tested, and still achieve a code coverage of 75%.