Discovering Architectures from Running Systems: Lessons Learned

One of the challenging problems for software developers is guaranteeing that a system as built is consistent with its architectural design. This report describes a technique that uses automatically generated runtime observations of an executing system to construct an architectural view of the system. In this technique, mappings are developed that exploit regularities in system implementation and architectural style. These mappings describe how low-level system events can be interpreted as more abstract architectural operations. In addition, this report describes the current implementation of a tool, called DiscoTect, that uses these mappings, and it shows how DiscoTect can highlight inconsistencies between implementations and architectures. Furthermore, two case studies are provided that illustrate how DiscoTect works and how it can be applied to real-world systems.

PDF [809 KB]

Authors

Hong Yan

Jonathan Aldrich

David Garlan

Rick Kazman

Bradley Schmerl

This report is related to the following area(s) of work:

Software Architecture

Technical Report
CMU/SEI-2004-TR-016
December 2004

Cite This Report

SEI:

Yan, Hong; Aldrich, Jonathan; Garlan, David; Kazman, Rick; & Schmerl, Bradley. Discovering Architectures from Running Systems: Lessons Learned (CMU/SEI-2004-TR-016). Software Engineering Institute, Carnegie Mellon University, 2004. http://www.sei.cmu.edu/library/abstracts/reports/04tr016.cfm

IEEE:

H. Yan, J. Aldrich, D. Garlan, R. Kazman, and B. Schmerl, "Discovering Architectures from Running Systems: Lessons Learned," Software Engineering Institute, Carnegie Mellon University, Pittsburgh, Pennsylvania, Technical Report CMU/SEI-2004-TR-016, 2004. http://www.sei.cmu.edu/library/abstracts/reports/04tr016.cfm

APA:

Yan, H., Aldrich, J., Garlan, D., Kazman, R., & Schmerl, B. (2004). Discovering Architectures from Running Systems: Lessons Learned (CMU/SEI-2004-TR-016). Retrieved June 19, 2013, from the Software Engineering Institute, Carnegie Mellon University website: http://www.sei.cmu.edu/library/abstracts/reports/04tr016.cfm

CHI:

Yan, Hong, Jonathan Aldrich, David Garlan, Rick Kazman, and Bradley Schmerl. Discovering Architectures from Running Systems: Lessons Learned (CMU/SEI-2004-TR-016). Pittsburgh, PA: Software Engineering Institute, Carnegie Mellon University, 2004. http://www.sei.cmu.edu/library/abstracts/reports/04tr016.cfm

MLA:

Yan, H., Aldrich, J., Garlan, D., Kazman, R., & Schmerl, B. 2004. Discovering Architectures from Running Systems: Lessons Learned (Technical Report CMU/SEI-2004-TR-016). Pittsburgh: Software Engineering Institute, Carnegie Mellon University. http://www.sei.cmu.edu/library/abstracts/reports/04tr016.cfm

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