Stronger Together: On Combining Relationships in Architectural Recovery Approaches

• Main Authors: Boerstra, Evelien, Ahn, John, Rubin, Julia
• Format: Conference Proceeding
• Language: English
• Subjects: architecture recovery; Codes; Computer architecture; Data mining; Microservice architectures; relationships between code entities; Software maintenance; software re-engineering; Software systems
• ISSN: 2576-3148
• DOI: 10.1109/ICSME55016.2022.00035

Architecture recovery is the process of obtaining the intended architecture of a software system by analyzing its implementation. Most existing architectural recovery approaches rely on extracting information about relationships between code entities and then use the extracted information to group closely related entities together. The approaches differ by the type of relationships they consider, e.g., method calls, data dependencies, and class name similarity. Prior work shows that combining multiple types of relationships during the recovery process is often beneficial as it leads to a better result than the one obtained by using the relationships individually. Yet, most, if not all, academic and industrial architecture recovery approaches simply unify the combined relationships to produce a more complete representation of the analyzed systems. In this paper, we propose and evaluate an alternative approach to combining information derived from multiple relationships, which is based on identifying agreements/disagreements between relationship types. We discuss advantages and disadvantages of both approaches and provide suggestions for future research in this area.