Algorithmic optimization method for effort estimation
- Авторы: Silhavy R.1, Prokopova Z.1, Silhavy P.1
-
Учреждения:
- Faculty of Applied Informatics
- Выпуск: Том 42, № 3 (2016)
- Страницы: 161-166
- Раздел: Article
- URL: https://journals.rcsi.science/0361-7688/article/view/176430
- DOI: https://doi.org/10.1134/S0361768816030087
- ID: 176430
Цитировать
Аннотация
This paper presents an improvement of an effort estimation method that can be used to predict the level of effort for software development projects. A new estimation approach based on a two-phase algorithm is used. In the first phase, we apply a calculation based on use case points (UCPs). In the second phase, we add correction values (a1, a2) obtained via least squares regression. This approach employs historical project data to refine the estimate. By applying the least squares regression approach, the algorithm filters out estimation errors caused by human factors and company practice.
Об авторах
R. Silhavy
Faculty of Applied Informatics
Автор, ответственный за переписку.
Email: rsilhavy@fai.utb.cz
Чехия, T.G. Masaryka 5555, Zlin, 76001
Z. Prokopova
Faculty of Applied Informatics
Email: rsilhavy@fai.utb.cz
Чехия, T.G. Masaryka 5555, Zlin, 76001
P. Silhavy
Faculty of Applied Informatics
Email: rsilhavy@fai.utb.cz
Чехия, T.G. Masaryka 5555, Zlin, 76001
Дополнительные файлы
