Enhancing Software Effort Estimation through Influencers-based Project Similarity Measurement

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F24%3A63588038" target="_blank" >RIV/70883521:28140/24:63588038 - isvavai.cz</a>

Result on the web

<a href="https://www.sciencedirect.com/science/article/pii/S1877050924023366?via%3Dihub" target="_blank" >https://www.sciencedirect.com/science/article/pii/S1877050924023366?via%3Dihub</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.procs.2024.09.314" target="_blank" >10.1016/j.procs.2024.09.314</a>

Result language

angličtina

Original language name

Enhancing Software Effort Estimation through Influencers-based Project Similarity Measurement

Original language description

This paper introduces a novel methodology for enhancing software effort estimation accuracy by incorporating observed ratings into measuring project similarity. Unlike traditional methods that rely only on historical project data, the proposed method leverages observed ratings to identify influencers within the dataset. These influencers serve as critical references that guide the estimation process, transforming project representations into a fully specified space where the similarity between projects can be accurately calculated. The significance of our method is that it overcomes the limitations of existing effort estimation methods by incorporating additional contextual information provided by observed ratings, thereby improving effort estimation accuracy. Experimental results on the ISBSG dataset show that our approach achieved better Root Mean Squared Error (RMSE) results than other neighbor-based effort estimation methods. Our approach offers a promising avenue for more accurate and data-driven effort estimation, enabling informed decision-making in software project management.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

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OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

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Continuities

S - Specificky vyzkum na vysokych skolach<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2024

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

Procedia Computer Science

ISBN

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ISSN

1877-0509

e-ISSN

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Number of pages

9

Pages from-to

3256-3264

Publisher name

Elsevier B.V.

Place of publication

Amsterdam

Event location

Seville

Event date

Nov 11, 2022

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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