원문정보
초록
영어
The number of standards and methods has been developed for software estimation in the last many decades. These methods help practitioners and engineers to estimate the effort accurately, but they found their inability to estimate software precisely. In this paper, an empirical approach is developed to measure the software development effort. The well-known PROMISE data sets of 217 projects are collected and the several performance factors are used in this paper to validate the estimated results. This work also considers the most popular model for software effort estimating, i.e. COCOMO. And the result of the COCOMO model and proposed an empirical approach is compared with the actual effort, and concludes that the proposed approach estimates the software development effort better than COCOMO in several aspects.
목차
1. Introduction
2. Background of the COCOMO Model
2.1. Basic COCOMO Model
2.2. Intermediate COCOMO Model
2.3. Advanced Detailed COCOMO Model
2.4. Illustration of Basic and Intermediate COCOMO Model with an Example
3. Evaluation of Proposed Approach
4. Performance Methodology
4.1. Data Collection
4.2. Error Analysis
5. Experimental Results
5.1. Experimental Result of Basic COCOMO and Intermediate COCOMO Model
5.2. Experimental Results of the Proposed Approach
5.3. Discussion
6. Conclusion and Future Scope
References