MVICS CSILLAG KULLO SOFTWARE

A novel ontology-based approach was proposed to achieve precise component retrieval andquality attribute prediction.

MVICS CSILLAG KULLO SOFTWARE

In thispaper, applicable quality attributes for prediction are selected by investigating existing software qualityattributes. This allows us the potential topredict the quality attributes of a software system by analysing the result of component retrieval. Mismatch refers that theselected component does not satisfy the functional requirements, or that it fails the userвЂ™s expectation interms of the Quality Attributes (QAs) of the component-based system. 3) Comparing R 2, R 3 and R 4 with R 1 respectively, and then fill out a questionnaire regarding how well each search was performed according the four criteria: Recall of the financial domain component search (R), Precision of the financial domain component search (P), Result Display (RD), and Adaptation Suggestion (AS).Дespite the success that Component-Based Development (CBD) has achieved so far, componentmismatch remains as a big obstacle for wider and smoother component reuse. 2) Using the SQL database search tool, existing ontological domain specific search tool and MVCIS plus domain model tool to search the same requirements and receive a set of search results (R 2 ), (R 3 ), (R 4 ) respectively. The following procedures are suggested for comparison: 1) Using the provided scenarios and the corresponding result components (R 1 ), or proposing their own scenarios and realizing the suitable component (R 1 ) manually. Users can test the search results by using given scenarios or producing their own. The level of satisfaction of the MVICS with domain model tool, existing ontological domain specific search tools and traditional search tools different approaches, several financial domain related reuse scenarios with their matching components are provided.

Mvics csillag kullo