Author(s): Ridhika Sharma, Dr. R. Rama Kishore
Published in: International Journal of Engineering Research & Technology
License: This work is licensed under a Creative Commons Attribution 4.0 International License.
Volume/Issue: Vol.2 - Issue 6 (June - 2013)
Software cost and effort estimation is the most critical task in handling software projects. Since it is very difficult to bridge the gap between estimated cost and actual cost, hence the accurate cost estimation is one of the challenging tasks in maintaining software projects. In software industry the most widely used model for effort estimation is Constructive Cost Model (COCOMO). In this paper, the author explores the use of perceptron learning rule to implement COCOMO II for effort estimation. This work proposes an estimation model that incorporates COCOMO II with perceptron learning rule to provide more accurate software estimates at early phase of software development, so that the estimated effort is more close to the actual effort.
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