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Estimating software development costs for a patient multimedia education project
A Caban1, C Cimino, C Swencionis
1Albert Einstein College of Medicine, New York, NY, USA.
Summary
Accurate cost estimation for patient multimedia education (PME) programs is crucial. Traditional methods like lines-of-code analysis underestimated costs, while specialized software and media complexity assessments offered better financial projections.
Area of Science:
- Health Informatics
- Health Education
- Software Engineering
Background:
- Patient multimedia education (PME) programs are increasingly utilized for health interventions.
- Accurate cost estimation is vital for the successful planning and budgeting of PME projects.
- Traditional software cost estimation methods may not adequately capture the complexities of PME development.
Purpose of the Study:
- To compare the accuracy of different cost estimation methods for patient multimedia education (PME) programs.
- To identify the most reliable methods for estimating the costs associated with developing PME projects.
Main Methods:
- Retrospective analysis of cost data from a computerized weight-reduction PME project.
- Calculation of three cost estimates: pre-work, post-work, and actual work.
- Comparison of traditional methods (lines-of-code, function point, task ratio) with commercial software (Cost Xpert) and a media complexity assessment.
Main Results:
- Traditional software cost estimation methods (lines-of-code, function point, task ratio) significantly underestimated project costs.
- A commercial cost estimation tool (Cost Xpert) provided a more accurate estimate for the graphical user interface component.
- An assessment of media material complexity and quality also yielded a more reliable cost projection.
Conclusions:
- Traditional software cost estimation techniques are insufficient for patient multimedia education (PME) projects.
- Specialized tools and methods that account for media complexity are superior for PME cost estimation.
- Improved cost estimation accuracy can lead to better resource allocation and project success in PME development.
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