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ISBSG variables most frequently used for software effort estimation: a mapping review

Authors:

Fernando González-Ladrón-de-Guevara,

Marta Fernández-DiegoAuthors Info & Claims

ESEM '14: Proceedings of the 8th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement

Article No.: 42, Pages 1 - 4

https://doi.org/10.1145/2652524.2652550

Published: 18 September 2014 Publication History

Abstract

Background: The International Software Benchmarking Standards Group (ISBSG) dataset makes it possible to estimate a project's size, effort, duration, and cost.

Aim: The aim was to analyze the ISBSG variables that have been used by researchers for software effort estimation from 2000, when the first papers were published, until the end of 2013.

Method: A systematic mapping review was applied to over 167 papers obtained after the filtering process. From these, it was found that 133 papers produce effort estimation and only 107 list the independent variables used in the effort estimation models.

Results: Seventy-one out of 118 ISBSG variables have been used at least once. There is a group of 20 variables that appear in more than 50% of the papers and include Functional Size (62%), Development Type (58%), Language Type (53%), and Development Platform (52%) following ISBSG recommendations. Sizing and Size attributes altogether represent the most relevant group along with Project attributes that includes 24 technical features of the project and the development platform. All in all, variables that have more missing values are used less frequently.

Conclusions: This work presents a snapshot of the existing usage of ISBSG variables in software development estimation. Moreover, some insights are provided to guide future studies.

References

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Cited By

Cubillos JAponte JGomez DRojas E(2024)Agile Effort Estimation in Colombia: An Assessment and Opportunities for ImprovementScience of Computer Programming10.1016/j.scico.2024.103115(103115)Online publication date: Apr-2024
https://doi.org/10.1016/j.scico.2024.103115
Hamada MAbdallah AKasem MAbokhalil M(2021)Neural Network Estimation Model to Optimize Timing and Schedule of Software Projects2021 IEEE International Conference on Smart Information Systems and Technologies (SIST)10.1109/SIST50301.2021.9465887(1-7)Online publication date: 28-Apr-2021
https://doi.org/10.1109/SIST50301.2021.9465887
Mustafa EOsman R(2018)An Analysis of the Inclusion of Environmental Cost Factors in Software Cost Estimation Datasets2018 IEEE International Conference on Software Quality, Reliability and Security Companion (QRS-C)10.1109/QRS-C.2018.00108(623-630)Online publication date: Jul-2018
https://doi.org/10.1109/QRS-C.2018.00108
Show More Cited By

Index Terms

ISBSG variables most frequently used for software effort estimation: a mapping review
1. Social and professional topics
  1. Professional topics
    1. Management of computing and information systems

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Potential and limitations of the ISBSG dataset in enhancing software engineering research: A mapping review

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Published In

cover image ACM Conferences

ESEM '14: Proceedings of the 8th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement

September 2014

461 pages

ISBN:9781450327749

DOI:10.1145/2652524

General Chair:
Maurizio Morisio
Politecnico di Torino, Italy
,
Program Chairs:
Tore Dybå
Sintef, Norway
,
Marco Torchiano
Politecnico di Torino, Italy

Copyright © 2014 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Publication History

Published: 18 September 2014

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ESEM '14

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SIGSOFT

ESEM '14: 2014 ACM-IEEE International Symposium on Empirical Software Engineering and Measurement

September 18 - 19, 2014

Torino, Italy

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ESEM '14 Paper Acceptance Rate 23 of 123 submissions, 19%;

Overall Acceptance Rate 130 of 594 submissions, 22%

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Cited By

Cubillos JAponte JGomez DRojas E(2024)Agile Effort Estimation in Colombia: An Assessment and Opportunities for ImprovementScience of Computer Programming10.1016/j.scico.2024.103115(103115)Online publication date: Apr-2024
https://doi.org/10.1016/j.scico.2024.103115
Hamada MAbdallah AKasem MAbokhalil M(2021)Neural Network Estimation Model to Optimize Timing and Schedule of Software Projects2021 IEEE International Conference on Smart Information Systems and Technologies (SIST)10.1109/SIST50301.2021.9465887(1-7)Online publication date: 28-Apr-2021
https://doi.org/10.1109/SIST50301.2021.9465887
Mustafa EOsman R(2018)An Analysis of the Inclusion of Environmental Cost Factors in Software Cost Estimation Datasets2018 IEEE International Conference on Software Quality, Reliability and Security Companion (QRS-C)10.1109/QRS-C.2018.00108(623-630)Online publication date: Jul-2018
https://doi.org/10.1109/QRS-C.2018.00108
(2017)Research patterns and trends in software effort estimationInformation and Software Technology10.1016/j.infsof.2017.06.00291:C(1-21)Online publication date: 1-Nov-2017
https://dl.acm.org/doi/10.1016/j.infsof.2017.06.002
Al-Qudah SMeridji KAl-Sarayreh K(2015)A Comprehensive Survey of Software Development Cost Estimation StudiesProceedings of the International Conference on Intelligent Information Processing, Security and Advanced Communication10.1145/2816839.2816913(1-5)Online publication date: 23-Nov-2015
https://dl.acm.org/doi/10.1145/2816839.2816913

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