A framework for identifying software project risks
Communications of the ACM
Know your enemy: software risk management
Software Development
Software development risks to project effectiveness
Journal of Systems and Software
Undergraduate global IT education—an experiential approach using the concept of fit
Proceedings of the 2000 information resources management association international conference on Challenges of information technology management in the 21st century
SAICSIT '02 Proceedings of the 2002 annual research conference of the South African institute of computer scientists and information technologists on Enablement through technology
The Mythical Man-Month: After 20 Years
IEEE Software
How Experienced Project Managers Assess Risk
IEEE Software
Information Systems Research
The development of an instrument to measure software project risk
The development of an instrument to measure software project risk
A View-Based Approach for Improving Software Documentation Practices
ECBS '06 Proceedings of the 13th Annual IEEE International Symposium and Workshop on Engineering of Computer Based Systems
Key dimensions of facilitators and inhibitors for the strategic use of information technology
Journal of Management Information Systems
Software development risk and project performance measurement: Evidence in Korea
Journal of Systems and Software
Identifying Software Project Risks: An International Delphi Study
Journal of Management Information Systems
IT/IS implementation risks and their impact on firm performance
International Journal of Information Management: The Journal for Information Professionals
Critical decisions for ERP integration: Small business issues
International Journal of Information Management: The Journal for Information Professionals
International Journal of Information Management: The Journal for Information Professionals
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Software development risk points to an aspect of a development task, process or environment which, if ignored, tends to adversely affect the project performance. Observations from literature show that while many studies on software project risk construct have been done in developed countries, there is scarcity of literature from Asian countries, especially India. Hence, this research was formulated with an objective of studying software development project risk in the Indian context. Data related to the presence of risk items was collected from 527 software development projects in India. This data was factor analyzed to identify five major risk dimensions namely Team risk, Project planning and Execution Risk, External risk, User risk and Project complexity risk. The resulting factor structure was validated through Confirmatory Factor Analysis. Software project risk was seen to be best represented by a second order factor model with five first order factors.