A Novel Hybrid Model to Increase the Accuracy of Case Based Reasoning Method in Software Development Effort Estimation

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

Sabbagh Nezhad Mozhdeh; Khatibi Bardsiri Amid

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: Modeling in Engineering Year:2018 | Volume:16 | Issue:54 Page(s): 39-52

Download Full-Text

Persian Verion

View:

387

Download:

Cites:

Information Journal Paper

Title

A Novel Hybrid Model to Increase the Accuracy of Case Based Reasoning Method in Software Development Effort Estimation

Author(s)

Sabbagh Nezhad Mozhdeh | Khatibi Bardsiri Amid | Issue Writer Certificate

Keywords

Effort Estimation of Software DevelopmentQ1

Case-Based Reasoning ModelQ1

Firefly AlgorithmQ1

Particle swarm optimizationQ1

Abstract

Nowadays the Effort Estimation of Software Development is crucial in Software projects management. Not only have the accurate estimate of cost help customers and investors, but also it will be effective in rational decision-making in the implementation and management of software projects. Various estimation models have been invented and used so far. Many of the current effort estimation approaches are adopted by collecting data from previous projects. Case-based reasoning (CBR) is one of the successful techniques of effort estimation in software projects. This method alone is not very accurate, a defect which can be corrected by creating hybrid models. In this paper, CBR was combined with two separate metaheuristic algorithms including Particle swarm optimization (PSO) and the Firefly Algorithm to propose a new hybrid model. Then the performance of the proposed model was evaluated. According to the results of the proposed model on Cocomo, Albrecht and Maxwell datasets, the Firefly Algorithm showed an acceptable performance.

Cites

No record.

References

No record.

Cite

APA: Copy

Sabbagh Nezhad, Mozhdeh, & Khatibi Bardsiri, Amid. (2018). A Novel Hybrid Model to Increase the Accuracy of Case Based Reasoning Method in Software Development Effort Estimation. JOURNAL OF MODELING IN ENGINEERING, 16(54 ), 39-52. SID. https://sid.ir/paper/361775/en

Vancouver: Copy

Sabbagh Nezhad Mozhdeh, Khatibi Bardsiri Amid. A Novel Hybrid Model to Increase the Accuracy of Case Based Reasoning Method in Software Development Effort Estimation. JOURNAL OF MODELING IN ENGINEERING[Internet]. 2018;16(54 ):39-52. Available from: https://sid.ir/paper/361775/en

IEEE: Copy

Mozhdeh Sabbagh Nezhad, and Amid Khatibi Bardsiri, “A Novel Hybrid Model to Increase the Accuracy of Case Based Reasoning Method in Software Development Effort Estimation,” JOURNAL OF MODELING IN ENGINEERING, vol. 16, no. 54 , pp. 39–52, 2018, [Online]. Available: https://sid.ir/paper/361775/en

Related Journal Papers