Abstract: The overriding goal of software engineering is to provide a high quality system, application or a product. To achieve this goal, software engineers must apply effective methods coupled with modern tools within the context of a mature software process [2]. In addition, it is also must to assure that high quality is realized. Although many quality measures can be collected at the project levels, the important measures are errors and defects. Deriving a quality measure for reusable components has proven to be challenging task now a days. The results obtained from the study are based on the empirical evidence of reuse practices, as emerged from the analysis of industrial projects. Both large and small companies, working in a variety of business domains, and using object-oriented and procedural development approaches contributed towards this study. This paper proposes a quality metric that provides benefit at both project and process level, namely defect removal efficiency (DRE).

• Publication Date: 09-Jul-2012
• DOI: 10.15224/978-981-07-2950-9-9967
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Abstract: The Semantic Web aims at machine agents that thrive on explicitly specified semantics of content in order to search, filter, condense, or negotiate knowledge for their human users. A core technology for making the Semantic Web happen, but also to leverage application areas like Knowledge Management and E-Business, is the field of Semantic Annotation, which turns human-understandable content into a machine understandable form.The generation of information on the web is increasing exponentially. The main need of web users is to access subject relevant and well-defined meaningful information. Semantic Web will bring structure to the meaningful content of Web pages, creating an environment where software agents roaming from page to page can readily carry out sophisticated tasks for users. This study is, after analyze of Semantic Web Application and Web ontology characteristics, established inference-based web ontology that use expression of Description Logic and verified inference that est

• Publication Date: 09-Jul-2012
• DOI: 10.15224/978-981-07-2950-9-9982
• Views: 0
• Downloads: 0