The Estimate Model Improvement of Software Cost Based on Fuzzy Matrix Technology

Yu Qiang Sun; Xue Li Tao; Cong Pin Zhang; Xiao Lin Zhang

doi:10.4028/www.scientific.net/AMR.186.327

Paper Titles

Exception Diagnosis for Composite Service
p.307

LMI Formulation for Static Output Feedback Control of Linear Continuous System
p.312

The Design of Software Parallel Engineering Model Based on Petri Net
p.317

Study of Goal-Oriented Migrating Workflow System Based on Mobile Computing Paradigm
p.322

The Estimate Model Improvement of Software Cost Based on Fuzzy Matrix Technology
p.327

The Design and Analysis on Communication Physical Layer of High-Speed Inter-Missile Networking
p.332

Wavelet Image Denoising by Threshold Optimization Based on Genetic Algorithm
p.337

A Design of PCI Target Interface Based on FPGA
p.342

Customer Segmentation Based on Context Preference Mining for Mobile Service
p.348

HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 186The Estimate Model Improvement of Software Cost...

The Estimate Model Improvement of Software Cost Based on Fuzzy Matrix Technology

Abstract:

Combining the current situation of China's domestic software enterprises, the cost driving factors of COCOMO model is improved to enhance the the accuracy of the estimate results by the fuzzy matrix method in this paper. In virtue of fuzzy matrix and fuzzy linear transformation, not only the fuzzy comprehensive ablity’s quantitative value is got, but also sigle fuzzy ability’s quantitative value is got. The type of software personnel can be distinguished by comparing the fuzzy integrated ability assessing valur of software personnel with pre-set threshold, enhancing the the accuracy of the estimate results.

You might also be interested in these eBooks

New Trends and Applications of Computer-aided Material and Engineering

View Preview

Info:

Periodical:

Advanced Materials Research (Volume 186)

Pages:

327-331

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.186.327

Citation:

Cite this paper

Online since:

January 2011

Authors:

Yu Qiang Sun, Xue Li Tao, Cong Pin Zhang, Xiao Lin Zhang

Keywords:

Cost Driving Factors, Cost Estimate, Fuzzy Matrix

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] Barry Boehm. Software Cost Estimation with COCOMOⅡ. Prentice Hall. (2000).

Google Scholar

[2] Thomas Fetke, Alam Abran. Mapping the OO-Jacobsen Approach into function Point Analysis [J]. The Proceedings of TOOLS, 23, (2005).

Google Scholar

[3] Time Menzies. Validation methods for calibrating software effort models. Proceedings of the 27th international conference, May. (2005).

Google Scholar

[4] Ingunn Myrtveit. Reliability and Validity in Comparative Studies of Software Prediction Models. IEEE Transactions on Software Engineering, May. (2005).

DOI: 10.1109/tse.2005.58

Google Scholar

[5] Hoh Peter In, Jongmoon Baik. A Quality-based cost estimations model for the product line life cycle. Communications of the ACM, Dec. (2006).

Google Scholar