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An Analysis Method of Business Application Framework
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作者 He Ke\|qing 1,Fan Hui hua 1,Ying Shi 2 1.Department of Computer Science, wuhan university, wuhan 430072, china 2.state key laboratory of software engineering, wuhan university, wuhan 430072, china 《Wuhan University Journal of Natural Sciences》 CAS 2001年第Z1期218-223,共6页
We discuss the evolution of object oriented software development process based on software pattern. For developing mature software framework and component, we advocate to elicit and incorporate software patterns for ... We discuss the evolution of object oriented software development process based on software pattern. For developing mature software framework and component, we advocate to elicit and incorporate software patterns for ensuing quality and reusability of software frameworks. On the analysis base of requirement specification for business application domain, we present analysis method and basic role model of software framework. We also elicit analysis pattern of framework architecture, and design basic role classes and their structure. 展开更多
关键词 object oriented software framework analysis pattern of architecture COMPONENT role model
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Scaling up the DBSCAN Algorithm for Clustering Large Spatial Databases Based on Sampling Technique 被引量:9
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作者 Guan Ji hong 1, Zhou Shui geng 2, Bian Fu ling 3, He Yan xiang 1 1. School of Computer, wuhan university, wuhan 430072, china 2.state key laboratory of software engineering, wuhan university, wuhan 430072, china 3.College of Remote Sensin 《Wuhan University Journal of Natural Sciences》 CAS 2001年第Z1期467-473,共7页
Clustering, in data mining, is a useful technique for discovering interesting data distributions and patterns in the underlying data, and has many application fields, such as statistical data analysis, pattern recogni... Clustering, in data mining, is a useful technique for discovering interesting data distributions and patterns in the underlying data, and has many application fields, such as statistical data analysis, pattern recognition, image processing, and etc. We combine sampling technique with DBSCAN algorithm to cluster large spatial databases, and two sampling based DBSCAN (SDBSCAN) algorithms are developed. One algorithm introduces sampling technique inside DBSCAN, and the other uses sampling procedure outside DBSCAN. Experimental results demonstrate that our algorithms are effective and efficient in clustering large scale spatial databases. 展开更多
关键词 spatial databases data mining CLUSTERING sampling DBSCAN algorithm
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Restructuring C Programs into C++ Programs
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作者 Zhang Ying 1,Zhou Yu ming 1,Xu Bao wen 1,2 , Liu Yuan 1 1.Department of Computer Science and engineering, Southeast university, Nanjing 210096, china 2.state key laboratory of software engineering, wuhan university, wuhan 430072, china 《Wuhan University Journal of Natural Sciences》 CAS 2001年第Z1期256-262,共7页
There exist a lot of legacy systems written in C language, which are difficult to understand, modify, maintain and reuse. How to improve the quality of these non object oriented systems has become an important issue ... There exist a lot of legacy systems written in C language, which are difficult to understand, modify, maintain and reuse. How to improve the quality of these non object oriented systems has become an important issue in software engineering area. A possible way is to transform these procedural systems into semantically equivalent object oriented systems implemented in C++ language, which provides object oriented features such as data abstraction, inheritance and polymorphism, makes software system more comprehensible, maintainable and reusable. A detailed discussion on polymorphism analysis, object discovery and possible inheritance relation extraction on C to C++ conversion problem is made, which is also suitable to the transformation on legacy systems implemented in other procedural languages to equivalent object oriented systems. 展开更多
关键词 object extraction COHESION COUPLING INHERITANCE
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