![]() ![]() ![]() Optimal training, which in consequence offered more enhancedĪnd accurate software estimation model. ![]() Moreover, Dragonfly Algorithm was used to provide Proposed model, which is based on Feedforward Artificial Neural This work used NASA projects dataset to train and validate the Improve the accuracy of time estimation in the software industry, However, various holes and slips can still be noticed in softwareĮffort’s estimation processes due to the lack of enough dataĪvailable in the initial stage of project’s lifecycle. Software size, time schedule, budget and similar requirements. Significance, a few models have been proposed so far to build aĬonnection between the required efforts to be employed, and the The estimation of software development efforts has become aĬrucial activity in software project management. ![]()
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