Optimization of use case point through the use of metaheuristic algorithm in estimating software effort
Use Case Points estimation framework relies on the complexity weight parameters to estimate software development projects. However, due to the discontinue parameters, it lead to abrupt weight classification and results in inaccurate estimation. Several research studies have addressed these weaknesse...
Main Authors: | Ardiansyah Ardiansyah, Mulki Indana Zulfa, Ali Tarmuji, Farisna Hamid Jabbar |
---|---|
Format: | Article |
Language: | English |
Published: |
Universitas Ahmad Dahlan
2024-02-01
|
Series: | IJAIN (International Journal of Advances in Intelligent Informatics) |
Subjects: | |
Online Access: | http://ijain.org/index.php/IJAIN/article/view/1298 |
Similar Items
-
Optimizing complexity weight parameter of use case points estimation using particle swarm optimization
by: Ardiansyah Ardiansyah, et al.
Published: (2022-07-01) -
Flower Pollination Algorithm for Software Effort Coefficients Optimization to Improve Effort Estimation Accuracy
by: Alifia Puspaningrum, et al.
Published: (2021-11-01) -
Analogy-based model for software project effort estimation
by: Ardiansyah Ardiansyah, et al.
Published: (2018-11-01) -
Heterogeneous Ensemble Model to Optimize Software Effort Estimation Accuracy
by: Syed Sarmad Ali, et al.
Published: (2023-01-01) -
Using Actors and Use Cases for Software Size Estimation
by: Radek Silhavy, et al.
Published: (2021-03-01)