A Hybrid Model for Improving Software Cost Estimation in Global Software Development Article Swipe
M Ahmed
,
Noraini Ibrahim
,
Wasif Nisar
,
Adeel Ahmed
,
Muhammad Junaid
,
Emmanuel Soriano Flores
,
Divya Anand
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.32604/cmc.2023.046648
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.32604/cmc.2023.046648
Accurate software cost estimation in Global Software Development (GSD) remains challenging due to reliance on historical data and expert judgments.Traditional models, such as the Constructive Cost Model (COCOMO II), rely heavily on historical and accurate data.In addition, expert judgment is required to set many input parameters, which can introduce subjectivity and variability in the estimation process.Consequently, there is a need to improve the current GSD models to mitigate reliance on historical data, subjectivity in expert judgment, inadequate consideration of GSD-based cost drivers and limited integration of modern technologies with cost overruns.This study introduces a novel hybrid model that synergizes the COCOMO II with Artificial Neural Networks (ANN) to address these challenges.The proposed hybrid model integrates additional GSD-based cost drivers identified through a systematic literature review and further vetted by industry experts.This article compares the effectiveness of the proposed model with state-of-the-art machine learning-based models for software cost estimation.Evaluating the NASA 93 dataset by adopting twenty-six GSD-based cost drivers reveals that our hybrid model achieves superior accuracy, outperforming existing state-of-the-art models.The findings indicate the potential of combining COCOMO II, ANN, and additional GSD-based cost drivers to transform cost estimation in GSD.
Related Topics
Concepts
COCOMO
Cost estimate
Computer science
Software
Cost driver
Process (computing)
Software development
Artificial intelligence
Machine learning
Data mining
Reliability engineering
Industrial engineering
Systems engineering
Engineering
Software construction
Business
Operating system
Marketing
Programming language
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.32604/cmc.2023.046648
- https://www.techscience.com/cmc/online/detail/19628/pdf
- OA Status
- diamond
- Cited By
- 2
- References
- 62
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4390072656
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4390072656Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.32604/cmc.2023.046648Digital Object Identifier
- Title
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A Hybrid Model for Improving Software Cost Estimation in Global Software DevelopmentWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2023Year of publication
- Publication date
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2023-12-21Full publication date if available
- Authors
-
M Ahmed, Noraini Ibrahim, Wasif Nisar, Adeel Ahmed, Muhammad Junaid, Emmanuel Soriano Flores, Divya AnandList of authors in order
- Landing page
-
https://doi.org/10.32604/cmc.2023.046648Publisher landing page
- PDF URL
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https://www.techscience.com/cmc/online/detail/19628/pdfDirect link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
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diamondOpen access status per OpenAlex
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https://www.techscience.com/cmc/online/detail/19628/pdfDirect OA link when available
- Concepts
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COCOMO, Cost estimate, Computer science, Software, Cost driver, Process (computing), Software development, Artificial intelligence, Machine learning, Data mining, Reliability engineering, Industrial engineering, Systems engineering, Engineering, Software construction, Business, Operating system, Marketing, Programming languageTop concepts (fields/topics) attached by OpenAlex
- Cited by
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2Total citation count in OpenAlex
- Citations by year (recent)
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2024: 2Per-year citation counts (last 5 years)
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10Other works algorithmically related by OpenAlex
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