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Florida Public Hurricane Loss Model (FPHLM): research experience in system integration
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Source
dg.o; Vol. 289 archive
Proceedings of the 2008 international conference on Digital government research table of contents
Montreal, Canada
SESSION: Research papers and management, case study & policy papers: emergency response and disaster management table of contents
Pages 99-106  
Year of Publication: 2008
ISBN:978-1-60558-099-9
Authors
Shu-Ching Chen  Florida International University, Miami, FL
Min Chen  University of Montana, Missoula, MT
Na Zhao  Florida International University, Miami, FL
Shahid Hamid  Florida International University, Miami, FL
Khalid Saleem  Florida International University, Miami, FL
Kasturi Chatterjee  Florida International University, Miami, FL
Sponsors
: Routledge
: Elsevier
: Springer
: Cefrio
NCDG : National Center for Digital Government
Publisher
Bibliometrics
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ABSTRACT

The Florida Public Hurricane Loss Model (FPHLM) developed in the State of Florida offers an open, public and effective tool for the government to regulate the insurance ratemaking process. It is also open to public scrutiny and provides an understandable baseline to check the windstorm insurance rate. Currently, the model has finished its development on probabilistic assessment of insured hurricane wind risk to residential properties and has successfully passed the audit of Florida Commission on Hurricane Loss Projection Methodology. As a multi-disciplinary large scale project, its system development and integration faced numerous challenges varying from technical factors to project management aspects. In addition, different from the general practice of software system development, FPHLM is essentially a research oriented project where the algorithms are constantly revised, validated and improved along with the research progress, which inevitably poses additional challenges upon the system development and integration cycle. With the help of systematic project management and advanced software development theories, techniques and tools, the FPHLM team overcame these challenges while maintaining delivery schedules, meeting budget constraints, and offering good software development practices. This paper addresses the challenges and experiences associated with the integration process of the FPHLM software system, which we believe will benefit the related digital-government applications.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
Boehm, B. A Spiral Model of Software Development and Enhancement. Software Engineering Project Management (1987), 128--142.
 
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EQECAT WORLDCATenterprise Model. http://www.eqecat.com/.
 
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HAZUS manuals page. http://www.fema.gov/hazus/li_manuals.shtm.
 
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HURDAT data. http://www.aoml.noaa.gov/hrd/hurdat/.
 
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RMS U.S. Hurricane Model. http://www.rms.com/Catastrophe/Models/United_States.asp# WS.

Collaborative Colleagues:
Shu-Ching Chen: colleagues
Min Chen: colleagues
Na Zhao: colleagues
Shahid Hamid: colleagues
Khalid Saleem: colleagues
Kasturi Chatterjee: colleagues