Neural Network Approaches for Software Development Time Estimation: A Review
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2015, Vol 3, Issue 3
Abstract
Software effort estimation calculates the effort necessary to complete the project, in term of scheduling, acquiring resources, and meeting costs. The aims of researchers have been: first is to determine which technique has the greatest effort prediction accuracy and secondly to propose new or combined techniques that could provide better estimates. Most of the research has focused on the construction of formal models and the early models were typically statistical regression-based. This paper presents an Adaptive Neuro-Fuzzy Approach for Software Development Time Estimation. This proposed technique is aimed at building and evaluating a Neuro - fuzzy model for software project development time. The forty one modules were used as a data set. Our proposed approach is software development time estimation method show the proposed ANFIS model gives new approach and ideas as compared to different types of neural network models. In the proposed method accurate estimation of software development time will be done and the results of Neuro Fuzzy approach will be compared with different types of neural network models based upon various parameters such as Root Mean Squared Error (RMSE), Relative Standard Deviation (RSD), Magnitude of Relative Error (MRE), Mean Magnitude of Relative Error (MMRE), Balanced Relative Error (BRE) and Prediction (Pred).
Authors and Affiliations
Vidisha Agrawal, Vishal Shrivastava
Keywords
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