Using Agile Story Points as an Estimation Technique in CMMI Organizations

作者: Alaa El Deen Hamouda

DOI: 10.1109/AGILE.2014.11

关键词: Empirical process (process control model)SoftwareLeanCMMIAgile Unified ProcessSoftware sizingCapability Maturity Model IntegrationEngineeringAgile software developmentP-Modeling FrameworkSoftware engineering

摘要: Story Point is a relative measure heavily used for agile estimation of size. The team decides how big point is, and based on that size, determines many points each work item is. In organizations, the use story similar features can vary from to another, successfully, teams' sizes, skill set this tool. But in CMMI organization, technique demands degree consistency across teams more streamlined approach solution delivery. This generates challenge organizations adopt Agile software planning. paper, process methodology guarantees relativity sizing while using introduced. proposed are applied company level three different projects. By that, not project. Then, performance measured show significant improvement accuracy after adopting organizations. To complete cycle, an effort dependent also introduced, its effect measured.

参考文章(13)
Geri Schneider, Jason P. Winters, Applying Use Cases: A Practical Guide ,(1998)
Ali Bou Nassif, Luiz Fernando Capretz, Danny Ho, Estimating Software Effort Using an ANN Model Based on Use Case Points international conference on machine learning and applications. ,vol. 2, pp. 42- 47 ,(2012) , 10.1109/ICMLA.2012.138
Eduardo Miranda, Pierre Bourque, Alain Abran, None, Sizing user stories using paired comparisons Information & Software Technology. ,vol. 51, pp. 1327- 1337 ,(2009) , 10.1016/J.INFSOF.2009.04.003
C.A. Behrens, Measuring the Productivity of Computer Systems Development Activities with Function Points IEEE Transactions on Software Engineering. ,vol. 9, pp. 648- 652 ,(1983) , 10.1109/TSE.1983.235429
E. Kocaguneli, T. Menzies, A. Bener, J. W. Keung, Exploiting the Essential Assumptions of Analogy-Based Effort Estimation IEEE Transactions on Software Engineering. ,vol. 38, pp. 425- 438 ,(2012) , 10.1109/TSE.2011.27
Chris F Kemerer, An empirical validation of software cost estimation models Communications of the ACM. ,vol. 30, pp. 416- 429 ,(1987) , 10.1145/22899.22906
Mike Konrad, David J. Anderson, David Anderson, Hillel Glazer, CMMI ® or Agile: Why Not Embrace Both! Carnegie Mellon University. ,(2008) , 10.1184/R1/6572513.V1
Patrick Keil, Martin Fritzsche, Agile methods and CMMI: compatibility or conflict? e-Informatica Software Engineering Journal. ,vol. 1, pp. 9- 26 ,(2007)
C.R. Symons, Function point analysis: difficulties and improvements IEEE Transactions on Software Engineering. ,vol. 14, pp. 2- 11 ,(1988) , 10.1109/32.4618