DERIVING MODELS FOR SOFTWARE PROJECT EFFORT ESTIMATION BY MEANS OF GENETIC PROGRAMMING

被引：0

作者：

Tsakonas, Athanasios ^{[1
]}

Dounias, Georgios ^{[1
]}

机构：

[1] Univ Aegean, Decis & Management Engn Lab, Dept Financial & Management Engn, Chios 82100, Greece

来源：

KDIR 2009: PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON KNOWLEDGE DISCOVERY AND INFORMATION RETRIEVAL | 2009年

关键词：

Software engineering; Effort estimation; Genetic programming; Symbolic regression;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper presents the application of a computational intelligence methodology in effort estimation for software projects. Namely, we apply a genetic programming model for symbolic regression; aiming to produce mathematical expressions that (1) are highly accurate and (2) can be used for estimating the development effort by revealing relationships between the project's features and the required work. We selected to investigate the effectiveness of this methodology into two software engineering domains. The system was proved able to generate models in the form of handy mathematical expressions that are more accurate than those found in literature.

引用

页码：34 / 42

页数：9

共 50 条

[1] Software Development Effort Estimation by Means of Genetic Programming
Chavoya, Arturo
Lopez-Martin, Cuauhtemoc
Meda-Campana, M. E.
[J]. INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS, 2013, 4 (11) : 109 - 116
[2] Software project effort estimation using genetic programming
Shan, Y
McKay, RI
Lokan, CJ
Essam, DL
[J]. 2002 INTERNATIONAL CONFERENCE ON COMMUNICATIONS, CIRCUITS AND SYSTEMS AND WEST SINO EXPOSITION PROCEEDINGS, VOLS 1-4, 2002, : 1108 - 1112
[3] Design of Software Effort Estimation Models An approach based on Linear Genetic Programming
Sanchez, Roberto
Pinto-Roa, Diego P.
[J]. 2017 XLIII LATIN AMERICAN COMPUTER CONFERENCE (CLEI), 2017,
[4] A Review of the Regression Models Applicable to Software Project Effort Estimation
Huynh Thai Hoc
Vo Van Hai
Ho Le Thi Kim Nhung
[J]. COMPUTATIONAL STATISTICS AND MATHEMATICAL MODELING METHODS IN INTELLIGENT SYSTEMS, VOL. 2, 2019, 1047 : 399 - 407
[5] Can genetic programming improve software effort estimation? A comparative evaluation
Burgess, CJ
Lefley, M
[J]. INFORMATION AND SOFTWARE TECHNOLOGY, 2001, 43 (14) : 863 - 873
[6] A Review of Parametric Effort Estimation Models for the Software Project Planning Process
Rodriguez-Soria, Pablo
Cuadrado-Gallego, J. J.
Gutierrez de Mesa, J. A.
Martin-Herrera, Borja
[J]. 22ND INTERNATIONAL CONFERENCE ON SOFTWARE ENGINEERING & KNOWLEDGE ENGINEERING (SEKE 2010), 2010, : 135 - 140
[7] Software Development Effort Estimation from Unstructured Software Project Description by Sequence Models
Kangwantrakool, Tachanun
Viriyayudhakorn, Kobkrit
Theeramunkong, Thanaruk
[J]. IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS, 2020, E103D (04) : 739 - 747
[8] Linear Programming as a Baseline for Software Effort Estimation
Sarro, Federica
Petrozziello, Alessio
[J]. ACM TRANSACTIONS ON SOFTWARE ENGINEERING AND METHODOLOGY, 2018, 27 (03)
[9] Using Analytical Programming for Software Effort Estimation
Urbanek, Tomas
Prokopova, Zdenka
Silhavy, Radek
Kuncar, Ales
[J]. SOFTWARE ENGINEERING PERSPECTIVES AND APPLICATION IN INTELLIGENT SYSTEMS, VOL 2, 2016, 465 : 261 - 272
[10] Method Study of Software Project Effort Estimation
Zhang Jun-guang
[J]. 2008 4TH INTERNATIONAL CONFERENCE ON WIRELESS COMMUNICATIONS, NETWORKING AND MOBILE COMPUTING, VOLS 1-31, 2008, : 7594 - 7597

← 1 2 3 4 5 →