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  • This paper deals with effort estimation in software engineering. This task is very complex and very important in project management. Project managers have to do right decisions in early stages of project development. There are a large number of methods for effort estimation, however research in this field shows that there is no universal method for this task. Nevertheless there is a possibility to improve accuracy of these methods. Use Case Points method is one of these methods. This paper tries to explain how to use differential evolution and analytical programming for accuracy improvement of this method. Use Case Points method contains a mathematical equation for calculation of effort estimation. Differential evolution and analytical programming are used for synthesize new equation for Use Case Points method. The experimental results shows that this method improving accuracy of effort estimation from MMRE 62% to MMRE 21 %
  • This paper deals with effort estimation in software engineering. This task is very complex and very important in project management. Project managers have to do right decisions in early stages of project development. There are a large number of methods for effort estimation, however research in this field shows that there is no universal method for this task. Nevertheless there is a possibility to improve accuracy of these methods. Use Case Points method is one of these methods. This paper tries to explain how to use differential evolution and analytical programming for accuracy improvement of this method. Use Case Points method contains a mathematical equation for calculation of effort estimation. Differential evolution and analytical programming are used for synthesize new equation for Use Case Points method. The experimental results shows that this method improving accuracy of effort estimation from MMRE 62% to MMRE 21 % (en)
Title
  • On the usage of differential evolution for effort estimation
  • On the usage of differential evolution for effort estimation (en)
skos:prefLabel
  • On the usage of differential evolution for effort estimation
  • On the usage of differential evolution for effort estimation (en)
skos:notation
  • RIV/70883521:28140/14:43871356!RIV15-MSM-28140___
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  • 34527
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  • RIV/70883521:28140/14:43871356
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  • AP; UCP; DE; Use Case Points; effort estimation; analytical programming; Differential evolution (en)
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  • [B3F76AECCA8B]
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  • Latest Trends on Systems. Volume II
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  • Prokopová, Zdenka
  • Šilhavý, Radek
  • Urbánek, Tomáš
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issn
  • 1790-5117
number of pages
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  • Europment
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  • 978-1-61804-244-6
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  • 28140
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