A Method for Measuring the Structure Complexity of Web Application

来源 :Wuhan University Journal of Natural Sciences | 被引量 : 0次 | 上传用户:zhenyf
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The precise and effective measure results of Web applications not only facilitate good comprehension of them, but also benefit to the macro-management of software activities, such as testing, reverse engineering, reuse, etc. The paper exploits some researches on measuring the structure complexity of Web application. Through a deep analysis of the configuration and objects’ interactions of Web system, two conclusions have been drawn: ① A generic Web application consists of static web page, dynamic page, component and database object; ② The main interactions have only three styles, that is static link, dynamic link and call/return relation. Based on analysis and modeling of the content of a Web page (static or dynamic), complexity measure methods of both control logic of script and nesting of HTML code are further discussed. In addition, two methods for measuring the complexity of inter-page navigation are also addressed by modeling the inter-page navigation behaviors of Web application via WNG graph. The precise and effective measure results of Web applications not only facilitate good comprehension of them, but also benefit to the macro-management of software activities, such as testing, reverse engineering, reuse, etc. The paper exploits some researches on measuring the structure complexity of Web application. Through a deep analysis of the configuration and objects’ interactions of Web system, two conclusions have been drawn: ① A generic Web application consists of static web page, dynamic page, component and database object; Based on analysis and modeling of the content of a Web page (static or dynamic), complexity measure methods of both control logic of script and nesting of HTML code are further three styles, that is static link, dynamic link and call / return relation. discussed. addition, two methods for measuring the complexity of inter-page navigation are also addressed by modeling the inter-page navigation behaviors of Web applicators ation via WNG graph.
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