Using Topic Maps to Establish Reuse Patterns of OO Programming Library
| Autor: | Chia-Hung Weng, 翁嘉宏 |
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| Rok vydání: | 2004 |
| Druh dokumentu: | 學位論文 ; thesis |
| Popis: | 92 Following a rapid pace of Information Technology, the process of translating data into digital form and the utilization of computer systems have stronger momentum. A growing number of workers and companies closely depend on information systems, and naturally increase the importance of them. Although a software library can significantly contribute towards an efficient and effective development of software, to establish and apply a library is never a simple task. When a software engineer uses a library, he has to know proper procedures and details of each component. Besides, a library can frequently overlap various libraries in any software project. Obviously, it is a very important topic to clarify relations of libraries and avoid misapplication of them, as well as minimize their complexity. Data Mining is a technique which is trying to dig out worthwhile information from massive data. If we can seek valuable and useful parts from abundant facts, and adjust our action or strategy based on them, then we can fulfill every task properly and precisely. Topic Map is not only a method to provide and display thematic knowledge, but also a method to present information and relationship of multi-themes. Each theme is a name of a subject and a collection of information and concepts. With the aid of Topic Map, people can learn faster in a more visual way. This study is to investigate the relationship between libraries and programs by the methodology of Data Mining. We extract the associations and analyze them so as to form a guideline for any future refactoring. In addition, Topic Map can help software engineers to shorten the learning curve and save both programmers' time and companies' costs. Within our framework, we use automatic mechanisms to maintain up-to-date versions of software. After inputting source codes, we obtain relationship of programs in a project. Therefore, we can observe how programs influence each other, and predict key programs when quality of the project is concerned. Thus project engineers and library engineers can acknowledge the possible damage when a specific program breaks down, and then they can know the severity and prioritize their tasks accordingly. |
| Databáze: | Networked Digital Library of Theses & Dissertations |
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