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Architectural drift and erosion, where the implementation starts to deviate from the intended software architecture or the rules set by it, are common problems in long-lived software systems. This can be avoided by using techniques, such as Reflexion modeling, to validate that the implementation conforms to the indented architecture. Unfortunately, such techniques require a mapping from source code modules (e.g., classes) to elements of the architecture, something that is not always available or up to date. This is a known problem when, e.g., companies want to adopt static architecture conformance checking; the effort to manually create or bring this mapping up to date is just too time-consuming and error-prone. The s4rdm3x tool suite is designed for researchers and practitioners to study and evaluate algorithms that perform part of the mapping automatically, such as orphan-adoption clustering or information retrieval techniques. It includes a graphical user interface to define and run experiments with mapping algorithms and their parameters, and visualize and explore the results of these experiments. The experiments can be executed locally or in a remote high-performance computing environment. The tool suite includes reference implementations of state of the art mapping algorithms and a set of Java systems with validated mappings between classes and architecture elements. The tool suite is extensible, so it is easy to add new mapping algorithms and visualizations to explore their performance. |
