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| Content Provider | ACM Digital Library |
|---|---|
| Author | Zhan, De-Chen Xu, Xiao-Fei Wang, Zhong-Jie |
| Abstract | Among recent developments in the field of software reuse has been the increasing reuse of coarse-grained components, and it has been proved that granularity has great impact on component's reuse performance. However, previous studies have ignored rigorous and effective methods to support coarse-grained component identification and design, particularly granularity optimization design. In this paper, a stability-based component identification method, STCIM, is presented to resolve this problem. First a feature-oriented component model and the corresponding component granularity metrics are briefly presented. By establishing mappings between business model space and component space, component design process may be regarded as the process of decomposition, abstraction and composition of business model elements, with four different mapping strategies discussed to obtain dynamic component granularities. Furthermore, it is thought that component granularity is closely correlative to the stability of business models: the more stable the business model, the larger the corresponding component granularity may be. A metrics for model stability with three factors, i.e., number of isomers, stability entropy and isomer similarity, is presented, and the corresponding component identification algorithm based on Most Stable Set is discussed in details. Finally a practical case is described to validate the method in this paper. |
| Starting Page | 1 |
| Ending Page | 14 |
| Page Count | 14 |
| File Format | |
| ISSN | 01635948 |
| DOI | 10.1145/1127878.1127888 |
| Journal | ACM SIGSOFT Software Engineering Notes (SOEN) |
| Volume Number | 31 |
| Issue Number | 3 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 1979-04-01 |
| Publisher Place | New York |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Stability Business component Feature modeling Component identification Dynamic granularity |
| Content Type | Text |
| Resource Type | Article |
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