REBEE- Reusability Based Effort Estimation Technique using Dynamic Neural Network

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Jyoti Mahajan
Jyoti Mahajan
σ
Devanand
Devanand
ρ
Kashyap Dhruve
Kashyap Dhruve
α University of Jammu

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REBEE- Reusability Based Effort Estimation Technique using Dynamic Neural Network

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Abstract

Software Effort Estimation has been researched for over 25 years but until today no real effective model could be designed that could efficiently gauge the effort required for heterogeneous project data. Reusability factors of software development have been used to design a new effort estimation model called REBEE. This encompasses the usage of Fuzzy Logic and Dynamic Neural Networks. The experimental evaluation of the model depicts efficient effort estimation over varied project types.

References

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Jyoti Mahajan. 1970. \u201cREBEE- Reusability Based Effort Estimation Technique using Dynamic Neural Network\u201d. Unknown Journal GJCST Volume 11 (GJCST Volume 11 Issue 7): .

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May 6, 2011

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Software Effort Estimation has been researched for over 25 years but until today no real effective model could be designed that could efficiently gauge the effort required for heterogeneous project data. Reusability factors of software development have been used to design a new effort estimation model called REBEE. This encompasses the usage of Fuzzy Logic and Dynamic Neural Networks. The experimental evaluation of the model depicts efficient effort estimation over varied project types.

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REBEE- Reusability Based Effort Estimation Technique using Dynamic Neural Network

Jyoti Mahajan
Jyoti Mahajan University of Jammu
Devanand
Devanand
Kashyap Dhruve
Kashyap Dhruve

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