Investigating Tabu Search for Web Effort Estimation

Author

Ferrucci, F. ; Gravino, C. ; Oliveto, R. ; Sarro, F. ; Mendes, E.

Author_Institution

Univ. of Salerno, Fisciano, Italy

fYear

2010

fDate

1-3 Sept. 2010

Firstpage

350

Lastpage

357

Abstract

Tabu Search is a meta-heuristic approach successfully used to address optimization problems in several contexts. This paper reports the results of an empirical study carried out to investigate the effectiveness of Tabu Search in estimating Web application development effort. The dataset employed in this investigation is part of the Tukutuku database. This database has been used in several studies to assess the effectiveness of various effort estimation techniques, such as Linear Regression and Case-Based Reasoning. Our results are encouraging given that Tabu Search outperformed all the other estimation techniques against which it has been compared.

Keywords

Internet; case-based reasoning; database management systems; estimation theory; optimisation; regression analysis; search problems; Tukutuku database; Web application development effort; Web effort estimation; case-based reasoning; estimation techniques; linear regression; metaheuristic approach; optimization problems; tabu search; Accuracy; Companies; Databases; Estimation; Mathematical model; Programming; Search problems; Empirical studies; Tabu search; Web Effort Estimation;

fLanguage

English

Publisher

ieee

Conference_Titel

Software Engineering and Advanced Applications (SEAA), 2010 36th EUROMICRO Conference on

Conference_Location

Lille

ISSN

1089-6503

Print_ISBN

978-1-4244-7901-6

Type

conf

DOI

10.1109/SEAA.2010.59

Filename

5598118