A management approach to systems development projects
Journal of Systems Management
The Dynamics of Software Project Staffing: A System Dynamics Based Simulation Approach
IEEE Transactions on Software Engineering
The problem of statistical power in MIS research
MIS Quarterly
Software engineering (3rd ed.): a practitioner's approach
Software engineering (3rd ed.): a practitioner's approach
A multiproject perspective of single-project dynamics
Journal of Systems and Software
Investigating the impacts of managerial turnover/succession on software project performance
Journal of Management Information Systems
Causes of inaccurate software development cost estimates
Journal of Systems and Software
Software development practices and software maintenance performance: a field study
Software development practices and software maintenance performance: a field study
The dynamics of software project scheduling
Communications of the ACM
Software Engineering Economics
Software Engineering Economics
The Mythical Man-Month: Essays on Softw
The Mythical Man-Month: Essays on Softw
Measures for Excellence: Reliable Software on Time, within Budget
Measures for Excellence: Reliable Software on Time, within Budget
Function Point Analysis: Difficulties and Improvements
IEEE Transactions on Software Engineering
Measurement of software development productivity
Measurement of software development productivity
Journal of Management Information Systems - Special section: Information technology and IT organizational impact
A study to investigate the impact of requirements instability on software defects
ACM SIGSOFT Software Engineering Notes
Towards management of software as assets: A literature review with additional sources
Information and Software Technology
A statistical framework for analyzing the duration of software projects
Empirical Software Engineering
Team performance and information system implementation
Information Systems Frontiers
A Model for Requirements Change Management: Implementation of CMMI Level 2 Specific Practice
PROFES '08 Proceedings of the 9th international conference on Product-Focused Software Process Improvement
An Empirical Study Identifying High Perceived Value Practices of CMMI Level 2
PROFES '08 Proceedings of the 9th international conference on Product-Focused Software Process Improvement
Identifying high perceived value practices of CMMI level 2: An empirical study
Information and Software Technology
Software effort estimation terminology: The tower of Babel
Information and Software Technology
Contractual Provisions to Mitigate Holdup: Evidence from Information Technology Outsourcing
Information Systems Research
Information Technology and Management
A study on the distribution and cost prediction of requirements changes in the software life-cycle
SPW'05 Proceedings of the 2005 international conference on Unifying the Software Process Spectrum
Vague project start makes project success of outsourced software development projects uncertain
PROFES'10 Proceedings of the 11th international conference on Product-Focused Software Process Improvement
International Journal of Information Technology Project Management
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Software projects frequently finish late and over budget. Much of the research to date has characterized this problem in terms of inadequate project estimation or incomplete requirements determination. In this study, we concentrate instead on understanding the relationship between project duration and project effort. Over time, a dynamic environment contributes to the expansion of project requirements, thus increasing the scope and effort required to complete the project, irrespective of initial requirements and anticipated project size. Further, frequent delays and interruptions in a project contribute to greater effort each time work is resumed. We develop and empirically evaluate a two-stage model to relate project duration and effort. Our results indicate a significant and positive relationship between project duration and effort, controlling for anticipated project size and other project characteristics. Our model also provides an estimate for the rate of environmental change while projects are in progress. We demonstrate the practical implications of our model by showing how it can be used in conjunction with time boxing techniques and new development methodologies to better scope software projects.