A New Method to Improve Quality Predicting of Software Project Completion Level
Author:
Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-030-77424-0_17
Reference10 articles.
1. Simion, C.P., Marin, I.: Project cost estimate at completion: earmed value management versus earned schedule-based regression models. A comparative analysis of the models application in the construction projects in Romania. Econ. Comput. Econ. Cybern. Stud. Res. 52(3) (2018)
2. Nannini, G., Warburton, R.D.H., De Marco, A.: Improving the accuracy of project estimates at completion using the Gompertz function. In: International Research Network on Organizing by Projects (IRNOP) 2017, UTS ePRESS, Sydney: NSW, pp. 1–15 (2017)
3. Narbaev, T., De Marco A.: Combination of growth model and earned schedule to forecast project cost at completion. J. Constr. Eng. Manag. 140(1), Article number 04013038 (2014). ISSN 0733–9364.
4. Batselier, J., Vanhoucke, M.: Evaluation of deterministic state-of-the-art forecasting approaches for project duration based on earning value management. Int. J. Proj. Manag. 33(7), 1588–1596 (2015)
5. Khamooshi, H., Golafshani, H.: EDM: earned duration management, a new approach to schedule performance management and measurement. Int. J. Proj. Manag. 32, 1019–1041 (2014)
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