Abstract
Developing good multimedia applications is expensive, mostly in terms of time and degree of difficulty. Estimating the cost and effort for multimedia application development is a great challenge. One of the useful techniques for predicting effort and lines of code (LOC) required for developing multimedia projects is by using the technique of “estimation by analogies”. This technique involves characterizing the project for which an estimate is required. This characterization forms the basis for finding similar or analogous projects that have been completed before and for which effort and LOC values are known. The tool ANGEL uses analogy for cost and effort estimation. However the accuracy of estimates generated through this tool is poor under certain conditions. It is proposed to overcome the limitations of ANGEL and to improve the accuracy of estimation by using a knowledge based technique. In knowledgebased estimation, estimates are generated using techniques of both ANGEL and knowledge rules. To analyze the performance of the proposed knowledge based estimation tools, the source code of 20 multimedia projects in medical domain have been taken as test cases. For these projects various metric attribute values useful for cost and effort estimation are computed and the estimation is done using the tool ANGEL. Then the estimation is improved using the knowledge rules. The results of the knowledge based tool and ANGEL tool are compared to assess the performance improvement in the estimation process of the proposed technique.
Highlights
Effective Project management requires the correct estimation of cost and effort
The proposed model improves the accuracy of estimates generated by ANGEL tool using the knowledge rules
ANGEL uses the historical data of effort and lines of code (LOC) of the completed past projects to predict the estimate of the new project
Summary
Effective Project management requires the correct estimation of cost and effort. Most of the software projects fail due to the wrong estimates of cost and effort. The objective of the work is to develop knowledge-based LOC and effort prediction model for multimedia applications. The proposed model improves the accuracy of estimates generated by ANGEL tool using the knowledge rules. Authoring of multimedia applications encompasses the management activities for the actual. The metric attributes that could influence the effort and LOC value of the applications are classified into five groups [1] and are listed below. The aim is to extract these attribute values from the real multimedia applications in medical domain. The tool ANGEL is used to predict the cost and effort estimation. The proposed knowledge based system is used to tune the estimated values by using knowledge rules. It is expected that the usage of the knowledge rules help to increase the performance of the cost and effort estimates.
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