TY - GEN
T1 - A Comparative Study on COCOMO II Model for Cost Estimation
AU - Putri, Rahmi Rizkiana
AU - Siahaan, Daniel
AU - Fatichah, Chastine
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - Due to its capacity to increase capital accuracy, Constructive Cost Model II (COCOMO II) is frequently chosen for predicting the cost of software projects. The accuracy level is frequently impacted by the large error value difference between COCOMO II and the real project cost. This problem can be improved by various optimization methods, such as BCO, ANN, Fuzzy, ACO, Cuckoo, and Grey Wolf optimization (GWO). Therefore, this study aimed to comparatively analyze the COCOMO II model for cost estimation. In this case, the implemented datasets were Nasa 93 and Turkish. In comparison to other optimization techniques, the results showed that COCOMO II-GWO with Fuzzy Gaussian reduced the outputs of MMRE by more than 16%. This subsequently led to the improvement of project cost-estimate accuracy levels.
AB - Due to its capacity to increase capital accuracy, Constructive Cost Model II (COCOMO II) is frequently chosen for predicting the cost of software projects. The accuracy level is frequently impacted by the large error value difference between COCOMO II and the real project cost. This problem can be improved by various optimization methods, such as BCO, ANN, Fuzzy, ACO, Cuckoo, and Grey Wolf optimization (GWO). Therefore, this study aimed to comparatively analyze the COCOMO II model for cost estimation. In this case, the implemented datasets were Nasa 93 and Turkish. In comparison to other optimization techniques, the results showed that COCOMO II-GWO with Fuzzy Gaussian reduced the outputs of MMRE by more than 16%. This subsequently led to the improvement of project cost-estimate accuracy levels.
KW - COCOMO II
KW - GWO
KW - MMRE
KW - cost
KW - software project
UR - http://www.scopus.com/inward/record.url?scp=85172936312&partnerID=8YFLogxK
U2 - 10.1109/ICCSCE58721.2023.10237162
DO - 10.1109/ICCSCE58721.2023.10237162
M3 - Conference contribution
AN - SCOPUS:85172936312
T3 - Proceedings - 13th IEEE International Conference on Control System, Computing and Engineering, ICCSCE 2023
SP - 226
EP - 231
BT - Proceedings - 13th IEEE International Conference on Control System, Computing and Engineering, ICCSCE 2023
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 13th IEEE International Conference on Control System, Computing and Engineering, ICCSCE 2023
Y2 - 25 August 2023 through 26 August 2023
ER -