Minimal Resource Allocation Network (MRAN) Based Software Effort Estimation


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Abstract


Project planning is one of the important aspects in software industry. Poor planning leads to failure of the project or delayed completion of the project. Projects mainly depend on effort which is estimated before the starting of the project. For developing a software human effort plays a significant role because the cost spent in infrastructure for developing software is very low or negligible compared to the human effort. Cost overrun, schedule overrun occur in the software development because of the wrong estimate made during the initial stage of software development. So proper estimation is essential for successful completion of software development. Several estimation techniques are available to estimate the effort in which neural network based estimation method play a prominent role. Minimal Resource Allocation Network (MRAN) a new type of network can be used to estimate the effort. To interpret the results MRAN is compared with conventional Back propagation network. To control better the time, cost and resource assigned to software project, organization need proper estimate of their size even before the project actually start.
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Keywords


MRAN Network; Mean Magnitude of Relative Error (MMRE); Back Propagation Algorithm; Estimation

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