Peningkatan Akurasi Estimasi Usaha dan Biaya COCOMO II Berdasarkan Gaussian dan BCO
Abstract: An accurate effort
and cost estimation provides good management for software projects. Less
accurate estimation will affect the management of the software project and
cause the ineffectiveness of the project development process. The addition of
cost driver, introduced by Barry Boehm in 2000, is used in this paper to
provide better accuracy, because it has covered the entire section in the
estimation. However, in this paper, the accuracy of effort and cost estimation
by COCOMO II Fuzzy Gaussian method is still far from actual effort. Therefore,
the accuracy can still be increased using Bee Colony Optimization (BCO), as
seen in the MMRE loyal results. The value of parameter A and B on COCOMO II is
also changed with the initial gradual of 0.01 to give optimal value on a certain
gradual. Based on the result of the implementation, the error accuracy of
effort estimation and software project cost is reduced by 38%, compared to
previous research. In conclusion, the proposed method can increase the accuracy
of effort and cost estimation.
Keywords: Usaha, perkiraan
biaya proyek perangkat lunak, Constructive Cost Model II, akurasi, Fuzzy Gaussian,
Bee Colony Optimization
Penulis: Rahmi Rizkiana Putri,
Daniel Oranova Siahaan, Sarwosri
Kode Jurnal: jptlisetrodd170493