A Study of Component Retrieval and Integration in Software Reuse

• Main Authors: Liao, Hsien-Chou, 廖珗洲
• Other Authors: Feng-Jian Wang
• Format: Others
• Language: zh-TW
• Published: 1998
• Online Access: http://ndltd.ncl.edu.tw/handle/46628205776364146278

博士 === 國立交通大學 === 資訊工程學系 === 86 === Software reuse is an effective way to improve software productivity and quality. The process of software reuse can be divided into four phases: abstraction, selection, specialization, and integration. In this thesis, the research includestwo parts: one is component retrieval and the other is component integration. Theyare aimed to improve the effectiveness in the selection and integration phases, respectively. For component retrieval, current software libraries provide all userswith the same search/display order. The retrieved/display results are not suitablefor users for their abilities well. For component integration, current web databaseapplication programs may consist of hundreds of files and the application logic is distributed on the files. When a programmer modifies some program files of an application on the integration phase, the program affected should be updated simultaneously to keep the functional consistency. The identification of the affected programs directly influences the effectiveness of program integration. In this thesis, a Software Reuse Framework (SRF) is presented to improve componentretrieval based on a (built-in) hierarchical thesaurus. The classification process ofa code library was made in a semi- automatic way. SRF is a domain-independent frameworkthat can be adapted to various libraries. SRF also provides four search levels to provide users of different skill levels with correspondent search/display order. Forthe component integration, a model called HED model is presented to meet the prior requirement of web database applications. HED model is composed of three diagrams, hyperlink diagrams, entity- relationship diagrams, and data-flow diagram, to representthe logic of application programs. Based on the HED model, the programs files affectedby a program modification can be identified precisely via the structure and database analyses. In addition, two sample SRF systems* are implemented, one for Smalltalk-80 and the other for MFC 4.0 (MicrosoftR Foundation Class) libraries. Some information collected during classifying these two libraries shows that the classification effort is reducedvia SRF. Another experiment is designed to evaluate the feasibility of SRF search process. The result reveals that the SRF search process achieve 33.2% speedup on the average. On the other hand, an analysis tool is implemented based on the HED model. The functionalities of this tool are presented in detail.