Abstract

Most of the software industry uses the Constructive Cost Model to be able to estimate the effort and cost of software projects, such as COCOMO II which has a dependence on cost drivers. Value of cost driver can affect the accuracy of the project effort and cost estimate. However, the COCOMO II accuracy value is considered to be less accurate because there is still a large difference between the actual project effort and the cost estimated value. To improve the accuracy of COCOMO II, Grey Wolf Optimization (GWO) method is used which is based on the behavior of wolves in catching prey. In this study, COCOMO II GWO is used to obtain a higher and more accurate level of estimation accuracy and reduce the total error value or Mean Magnitude Relative Error (MMRE) of software projects. From the test result when compared to MMRE produced by previous study COCOMO II BCO (Bee Colony Optimization) was 12.92%. Meanwhile, MMRE by proposed method COCOMO II GWO IS 1.731%. It means the proposed method can reduce the error value in MMRE by 11.19%.

Original languageEnglish
Title of host publicationProceeding - 5th International Conference on Informatics and Computational Sciences, ICICos 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages128-133
Number of pages6
ISBN (Electronic)9781665438070
DOIs
Publication statusPublished - 2021
Event5th International Conference on Informatics and Computational Sciences, ICICos 2021 - Semarang, Indonesia
Duration: 24 Nov 202125 Nov 2021

Publication series

NameProceedings - International Conference on Informatics and Computational Sciences
Volume2021-November
ISSN (Print)2767-7087

Conference

Conference5th International Conference on Informatics and Computational Sciences, ICICos 2021
Country/TerritoryIndonesia
CitySemarang
Period24/11/2125/11/21

Keywords

  • COCOMO II
  • GWO
  • MMRE
  • cost
  • effort
  • enhancement

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