Measurement Framework for Assessing Risks in Component-Based Software Development

Authors:
Yi Ding;Nannette Napier
Affiliations:
Georgia State University;Georgia State University
Venue:
HICSS '06 Proceedings of the 39th Annual Hawaii International Conference on System Sciences - Volume 09
Year:
2006

Citing 0
Cited 3

A knowledge-based framework for extracting components in agile systems development

Information Technology and Management
A metamodel and a DEVS implementation for component based hierarchical simulation modeling

SpringSim '10 Proceedings of the 2010 Spring Simulation Multiconference
Analyzing differences in risk perceptions between developers and acquirers in OTS-based custom software projects using stakeholder analysis

Proceedings of the ACM-IEEE international symposium on Empirical software engineering and measurement

Quantified Score

Hi-index	0.00

Visualization

Abstract

As Component-based software development (CBSD) is getting popular and is being considered as both efficient and effective approach to build large software applications and systems, potential risks within component-based practicing areas such as quality assessment, complexity estimation, performance prediction, configuration, and application management should not be taken lightly. In the existing literature there is lack of systematic work in identifying and assessing these risks. In particular, there is lack of a structuring framework that could be helpful for related CBSD stakeholders to measure these risks. In this research we examine prior related research work in software measurement and aim to develop a practical risk measurement framework that classifies potential CBSD risks and related metrics and provides a practical guidance for CBSD stakeholders.