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  • This article is aimed to using the analytical programming and the Use Case Points method to estimate time effort in software engineering. The calculation of Use Case Points method is strictly algorithmically defined, and the calculation of this method is simple and fast. Despite a lot of research on this field, there are many attempts to calibrating the weights of Use Case Points method. In this paper is described idea that equation used in Use Case Points method could be less accurate in estimation than other equations. The aim of this research is to create new method, that will be able to create new equations for Use Case Points method. Analytical programming with self-organizing migration algorithm is used for this task. The experimental results shows that this method improving accuracy of effort estimation by 25-40%.
  • This article is aimed to using the analytical programming and the Use Case Points method to estimate time effort in software engineering. The calculation of Use Case Points method is strictly algorithmically defined, and the calculation of this method is simple and fast. Despite a lot of research on this field, there are many attempts to calibrating the weights of Use Case Points method. In this paper is described idea that equation used in Use Case Points method could be less accurate in estimation than other equations. The aim of this research is to create new method, that will be able to create new equations for Use Case Points method. Analytical programming with self-organizing migration algorithm is used for this task. The experimental results shows that this method improving accuracy of effort estimation by 25-40%. (en)
Title
  • Using Analytical Programming and UCP Method for Effort Estimation
  • Using Analytical Programming and UCP Method for Effort Estimation (en)
skos:prefLabel
  • Using Analytical Programming and UCP Method for Effort Estimation
  • Using Analytical Programming and UCP Method for Effort Estimation (en)
skos:notation
  • RIV/70883521:28140/14:43871355!RIV15-MSM-28140___
http://linked.open...avai/riv/aktivita
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  • 52402
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  • RIV/70883521:28140/14:43871355
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  • effort estimation; UCP; Use Case Points; SOMA; self-organizing migration algorithm; Analytical programming (en)
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  • [AD89D460C323]
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  • on-line
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  • Heidelberg
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  • Advances in Intelligent Systems and Computing. 285
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  • Prokopová, Zdenka
  • Šilhavý, Radek
  • Urbánek, Tomáš
  • Sehnálek, Stanislav
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
issn
  • 2194-5357
number of pages
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  • 10.1007/978-3-319-06740-7_49
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  • Springer-Verlag. Berlin
https://schema.org/isbn
  • 978-3-319-06739-1
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  • 28140
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