Optimizing Effort and Cost Estimation: Model Implementation Using Artificial Neural Networks and Taguchi’s Orthogonal Vector Plans

Nevena Ranković; Dragica Rankovic; Mirjana Ivanovic; Ljubomir Lazic

doi:10.1007/978-3-031-76572-8_9

Optimizing Effort and Cost Estimation: Model Implementation Using Artificial Neural Networks and Taguchi’s Orthogonal Vector Plans

Nevena Ranković
, Dragica Rankovic
, Mirjana Ivanovic^*
, Ljubomir Lazic

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Chapter › Scientific › peer-review

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Abstract

Part 2 of this book consists of one large chapter focused on optimizing effort and cost estimation through Artificial Neural Networks (ANN) and Taguchi’s Orthogonal Vector Plans, which has been the main area of our exploration and research over the last decade. The chapter presents a novel methodology that enhances conventional models like COCOMO2000, COSMIC FFP, and UCP, improving their accuracy and efficiency. Through detailed analysis and comparisons, it demonstrates how AI-driven techniques and advanced optimization methods lead to more precise and scalable software project estimation.

Original language	English
Title of host publication	Recent Advances in Artificial Intelligence in Cost Estimation in Project Management
Editors	Nevena Ranković, Dragica Rankovic, Mirjana Ivanovic, Ljubomir Lazic
Publisher	Springer Cham
Chapter	9
Pages	291-417
Number of pages	127
Edition	1
ISBN (Electronic)	978-3-031-76572-8
ISBN (Print)	978-3-031-76571-1
DOIs	https://doi.org/10.1007/978-3-031-76572-8_9
Publication status	Published - 2024

Publication series

Name	Artificial Intelligence-Enhanced Software and Systems Engineering
Publisher	Springer Cham
Volume	6
ISSN (Print)	2731-6025
ISSN (Electronic)	2731-6033

Keywords

Taguchi orthogonal arrays
Optimization
Effort and cost estimation
Ensemble models

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10.1007/978-3-031-76572-8_9Licence: Taverne

chapter 9 optimizing effort and cost estimationFinal published version, 2.9 MBLicence: Taverne

Cite this

Ranković, N., Rankovic, D., Ivanovic, M., & Lazic, L. (2024). Optimizing Effort and Cost Estimation: Model Implementation Using Artificial Neural Networks and Taguchi’s Orthogonal Vector Plans. In N. Ranković, D. Rankovic, M. Ivanovic, & L. Lazic (Eds.), Recent Advances in Artificial Intelligence in Cost Estimation in Project Management (1 ed., pp. 291-417). (Artificial Intelligence-Enhanced Software and Systems Engineering; Vol. 6). Springer Cham. https://doi.org/10.1007/978-3-031-76572-8_9

Ranković, Nevena ; Rankovic, Dragica ; Ivanovic, Mirjana et al. / Optimizing Effort and Cost Estimation : Model Implementation Using Artificial Neural Networks and Taguchi’s Orthogonal Vector Plans. Recent Advances in Artificial Intelligence in Cost Estimation in Project Management. editor / Nevena Ranković ; Dragica Rankovic ; Mirjana Ivanovic ; Ljubomir Lazic. 1. ed. Springer Cham, 2024. pp. 291-417 (Artificial Intelligence-Enhanced Software and Systems Engineering).

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abstract = "Part 2 of this book consists of one large chapter focused on optimizing effort and cost estimation through Artificial Neural Networks (ANN) and Taguchi{\textquoteright}s Orthogonal Vector Plans, which has been the main area of our exploration and research over the last decade. The chapter presents a novel methodology that enhances conventional models like COCOMO2000, COSMIC FFP, and UCP, improving their accuracy and efficiency. Through detailed analysis and comparisons, it demonstrates how AI-driven techniques and advanced optimization methods lead to more precise and scalable software project estimation.",

keywords = "Taguchi orthogonal arrays, Optimization, Effort and cost estimation, Ensemble models",

author = "Nevena Rankovi{\'c} and Dragica Rankovic and Mirjana Ivanovic and Ljubomir Lazic",

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Ranković, N, Rankovic, D, Ivanovic, M & Lazic, L 2024, Optimizing Effort and Cost Estimation: Model Implementation Using Artificial Neural Networks and Taguchi’s Orthogonal Vector Plans. in N Ranković, D Rankovic, M Ivanovic & L Lazic (eds), Recent Advances in Artificial Intelligence in Cost Estimation in Project Management. 1 edn, Artificial Intelligence-Enhanced Software and Systems Engineering, vol. 6, Springer Cham, pp. 291-417. https://doi.org/10.1007/978-3-031-76572-8_9

Optimizing Effort and Cost Estimation: Model Implementation Using Artificial Neural Networks and Taguchi’s Orthogonal Vector Plans. / Ranković, Nevena; Rankovic, Dragica; Ivanovic, Mirjana et al.
Recent Advances in Artificial Intelligence in Cost Estimation in Project Management. ed. / Nevena Ranković; Dragica Rankovic; Mirjana Ivanovic; Ljubomir Lazic. 1. ed. Springer Cham, 2024. p. 291-417 (Artificial Intelligence-Enhanced Software and Systems Engineering; Vol. 6).

Research output: Chapter in Book/Report/Conference proceeding › Chapter › Scientific › peer-review

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N2 - Part 2 of this book consists of one large chapter focused on optimizing effort and cost estimation through Artificial Neural Networks (ANN) and Taguchi’s Orthogonal Vector Plans, which has been the main area of our exploration and research over the last decade. The chapter presents a novel methodology that enhances conventional models like COCOMO2000, COSMIC FFP, and UCP, improving their accuracy and efficiency. Through detailed analysis and comparisons, it demonstrates how AI-driven techniques and advanced optimization methods lead to more precise and scalable software project estimation.

AB - Part 2 of this book consists of one large chapter focused on optimizing effort and cost estimation through Artificial Neural Networks (ANN) and Taguchi’s Orthogonal Vector Plans, which has been the main area of our exploration and research over the last decade. The chapter presents a novel methodology that enhances conventional models like COCOMO2000, COSMIC FFP, and UCP, improving their accuracy and efficiency. Through detailed analysis and comparisons, it demonstrates how AI-driven techniques and advanced optimization methods lead to more precise and scalable software project estimation.

KW - Taguchi orthogonal arrays

KW - Optimization

KW - Effort and cost estimation

KW - Ensemble models

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PB - Springer Cham

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Ranković N, Rankovic D, Ivanovic M, Lazic L. Optimizing Effort and Cost Estimation: Model Implementation Using Artificial Neural Networks and Taguchi’s Orthogonal Vector Plans. In Ranković N, Rankovic D, Ivanovic M, Lazic L, editors, Recent Advances in Artificial Intelligence in Cost Estimation in Project Management. 1 ed. Springer Cham. 2024. p. 291-417. (Artificial Intelligence-Enhanced Software and Systems Engineering). doi: 10.1007/978-3-031-76572-8_9

Optimizing Effort and Cost Estimation: Model Implementation Using Artificial Neural Networks and Taguchi’s Orthogonal Vector Plans

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