Conference proceeding
Bunch: a clustering tool for the recovery and maintenance of software system structures
Proceedings IEEE International Conference on Software Maintenance - 1999 (ICSM'99). 'Software Maintenance for Business Change' (Cat. No.99CB36360), pp 50-59
1999
Abstract
Software systems are typically modified in order to extend or change their functionality, improve their performance, port them to different platforms, and so on. For developers, it is crucial to understand the structure of a system before attempting to modify it. The structure of a system, however, may not be apparent to new developers, because the design documentation is non-existent or, worse, inconsistent with the implementation. This problem could be alleviated if developers were somehow able to produce high-level system decomposition descriptions from the low-level structures present in the source code. We have developed a clustering tool called Bunch that creates a system decomposition automatically by treating clustering as an optimization problem. The paper describes the extensions made to Bunch in response to feedback we received from users. The most important extension, in terms of the quality of results and execution efficiency, is a feature that enables the integration of designer knowledge about the system structure into an otherwise fully automatic clustering process. We use a case study to show how our new features simplified the task of extracting the subsystem structure of a medium size program, while exposing an interesting design flaw in the process.
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370 citations in Scopus
Details
- Title
- Bunch: a clustering tool for the recovery and maintenance of software system structures
- Creators
- S Mancoridis - Drexel UniversityB.S MitchellY ChenE.R Gansner
- Publication Details
- Proceedings IEEE International Conference on Software Maintenance - 1999 (ICSM'99). 'Software Maintenance for Business Change' (Cat. No.99CB36360), pp 50-59
- Publisher
- IEEE
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Computer Science
- Scopus ID
- 2-s2.0-0033325448
- Other Identifier
- 991019182779404721