2020
DOI: 10.1007/978-3-030-63322-6_64
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An Evaluation of Technical and Environmental Complexity Factors for Improving Use Case Points Estimation

Abstract: This paper presents a proposed method for improving the prediction ability of the Use Case Points method. Our main goal is to use the Least Absolute Shrinkage and Selection Operator Regression methods to find out which of the technical and environmental complexity factors significantly affect the accuracy of the Use Case Points method. Two regression models were used to calculate the selected significant variables. The results of several evaluation measures show that the proposed estimation method ability is b… Show more

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Cited by 7 publications
(7 citation statements)
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“…Our method, the OCF method, 48 uses the LASSO method 50,51 to select the best correction factors, thus reducing the risk involved in evaluating these factors using the UCP method. Figure 3 represents a detailed illustration of the OCF method.…”
Section: Methodologies Usedmentioning
confidence: 99%
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“…Our method, the OCF method, 48 uses the LASSO method 50,51 to select the best correction factors, thus reducing the risk involved in evaluating these factors using the UCP method. Figure 3 represents a detailed illustration of the OCF method.…”
Section: Methodologies Usedmentioning
confidence: 99%
“…In addition, we experimented with pure estimation methods, such as a baseline UCP method, 7 and an OCF method. 48 We ran each experiment five times under five different random training and testing splits. The comparisons of the methods' estimation accuracies were based on the average results of these five runs and seven evaluation criteria, namely, the SSE, MAE, RMSE, MBRE, MIBRE, MdMRE, and PRED(0.25), which are defined in Equations ( 18)-( 24) of Section 6.3.…”
Section: Experimental Processmentioning
confidence: 99%
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