Software Cost Estimation Based on Dolphin Algorithm

Accurate Software Effort Estimation is of high importance with regard to Software Project Management. It can be specified as the process for predicting Effort regarding costs, needed for developing software products. A lot of techniques related to software effort estimation were carried out for deve...

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Bibliographic Details
Published in:IEEE access 2020, Vol.8, p.75279-75287
Main Authors: Fadhil, Anfal A., Alsarraj, Rasha G.H., Altaie, Atica M.
Format: Article
Language:English
Subjects:
Algorithms
Bat algorithm
COCOMO II model
Computational modeling
dolphin algorithm
Dolphins
echolocation
effort estimation
Estimation
NASA project dataset
Optimization
Particle swarm optimization
Prediction algorithms
Project management
Software
Software algorithms
Software development
Swarm intelligence
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Summary:Accurate Software Effort Estimation is of high importance with regard to Software Project Management. It can be specified as the process for predicting Effort regarding costs, needed for developing software products. A lot of techniques related to software effort estimation were carried out for developing models that are generating optimal estimation accuracy. Swarm intelligence is one such technique. The process-related in selecting the optimum estimation algorithm is expert dependent and complex. The presented study optimizes the estimation using the COCOMO II models by two models: the first model applied the dolphin algorithm, the second model applied suggested hybrid dolphin and bat algorithm (DolBat). By applying the two models on two data set and evaluate with the use of Magnitude of Relative Error(MRE) and Mean Magnitude of Relative Error(MMRE). The results indicate that the dolphin algorithm has better than previous algorithms but the (DolBat) is the best to get the coefficient value of the COCOMO II model.
ISSN:2169-3536
2169-3536
DOI:10.1109/ACCESS.2020.2988867