Abstract
Estimating size and cost of a software system is one of the primary challenges in software project management. An estimate is of critical significance to a project’s success, hence the estimate should go through a rigorous assessment process. The estimate should be evaluated for its quality or accuracy, and also to ensure that it contains all of the required information and is presented in a way that is easily understandable to all project stakeholders. Software cost model research results depend on model accuracy measures such as MRE, MMRE and PRED. Advance Use Case Point Method (AUCP) is an enhancement of UCP. AUCP is our previously proposed and published model (Srivastava et al in Int. J. Control Theor. Appl. Eval. Softw. Project Estimation Methodol. AUCP 9(41):1373–1381, 2017) [1]. In this paper, performance evaluation of AUCP is carried out using the three widely accepted metrics including MRE, MMRE and percentage of the PRED.
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References
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Srivastava, A., Singh, S.K., Abbas, S.Q. (2019). Performance Measure of the Proposed Cost Estimation Model: Advance Use Case Point Method. In: Ray, K., Sharma, T., Rawat, S., Saini, R., Bandyopadhyay, A. (eds) Soft Computing: Theories and Applications. Advances in Intelligent Systems and Computing, vol 742. Springer, Singapore. https://doi.org/10.1007/978-981-13-0589-4_21
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