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https://doi.org/10.2498/cit.1002133

Evaluation of Cost Estimation Metrics: Towards a Unified Terminology

Izzat M. Alsmadi ; Department of Computer Information Systems, Yarmouk University, Jordan
Maryam S. Nuser ; Department of Computer Information Systems, Yarmouk University, Jordan

Puni tekst: engleski, pdf (311 KB) str. 23-34 preuzimanja: 1.066* citiraj
APA 6th Edition
M. Alsmadi, I. i S. Nuser, M. (2013). Evaluation of Cost Estimation Metrics: Towards a Unified Terminology. Journal of computing and information technology, 21 (1), 23-34. https://doi.org/10.2498/cit.1002133
MLA 8th Edition
M. Alsmadi, Izzat i Maryam S. Nuser. "Evaluation of Cost Estimation Metrics: Towards a Unified Terminology." Journal of computing and information technology, vol. 21, br. 1, 2013, str. 23-34. https://doi.org/10.2498/cit.1002133. Citirano 21.09.2019.
Chicago 17th Edition
M. Alsmadi, Izzat i Maryam S. Nuser. "Evaluation of Cost Estimation Metrics: Towards a Unified Terminology." Journal of computing and information technology 21, br. 1 (2013): 23-34. https://doi.org/10.2498/cit.1002133
Harvard
M. Alsmadi, I., i S. Nuser, M. (2013). 'Evaluation of Cost Estimation Metrics: Towards a Unified Terminology', Journal of computing and information technology, 21(1), str. 23-34. https://doi.org/10.2498/cit.1002133
Vancouver
M. Alsmadi I, S. Nuser M. Evaluation of Cost Estimation Metrics: Towards a Unified Terminology. Journal of computing and information technology [Internet]. 2013 [pristupljeno 21.09.2019.];21(1):23-34. https://doi.org/10.2498/cit.1002133
IEEE
I. M. Alsmadi i M. S. Nuser, "Evaluation of Cost Estimation Metrics: Towards a Unified Terminology", Journal of computing and information technology, vol.21, br. 1, str. 23-34, 2013. [Online]. https://doi.org/10.2498/cit.1002133

Sažetak

Cost overrun of software projects is major cause of their failures. In order to facilitate accurate software cost estimation, there are several metrics, tools and datasets. In this paper, we evaluate and compare different metrics and datasets in terms of similarities and differences of involved software attributes. These metrics forecast project cost estimations based on different software attributes. Some of these metrics are public and standard while others are only employed in a particular metric tool/dataset.

Sixteen public cost estimation datasets are collected and analyzed. Different perspectives are used to compare and classify those datasets. Tools for feature selection and classification are used to find the most important attributes in cost estimation datasets toward the goal of effort prediction. In order to have better estimation it is needed to correlate cost estimation from different resources, which requires a unified standard for software cost estimation metric tools and datasets. It is pertinent that a common cost estimation model may not work for each project due to diverse project size, application areas etc. We suggest having a standardized terminology of project attributes used for cost estimation. This would improve cost estimation as multiple metrics could be applied on a project without much additional effort.

Ključne riječi
Cost estimation; estimation by analogy; COCOMO; effort prediction; ArchANGEL

Hrčak ID: 103376

URI
https://hrcak.srce.hr/103376

Posjeta: 1.211 *