Crunch mode: building effective systems on a tight schedule
Crunch mode: building effective systems on a tight schedule
Time-Sensitive Cost Models in the Commercial MIS Environment
IEEE Transactions on Software Engineering
Software Engineering Economics
Software Engineering Economics
The Mythical Man-Month: Essays on Softw
The Mythical Man-Month: Essays on Softw
Lessons learned from modeling the dynamics of software development
Communications of the ACM
System dynamics modeling of an inspection-based process
Proceedings of the 18th international conference on Software engineering
The case for collaborative programming
Communications of the ACM
The impact of IS Department organizational environments upon project team performances
Information and Management
Measurement: the key to application development quality
IBM Systems Journal
Modeling dynamics of agile software development
OOPSLA '04 Companion to the 19th annual ACM SIGPLAN conference on Object-oriented programming systems, languages, and applications
Evidence-Based Guidelines for Assessment of Software Development Cost Uncertainty
IEEE Transactions on Software Engineering
Journal of Management Information Systems - Special section: Information technology and IT organizational impact
Modeling dynamics in agile software development
ACM Transactions on Management Information Systems (TMIS)
ACM SIGSOFT Software Engineering Notes
System dynamics model for simulation of the software inspection process
ACM SIGSOFT Software Engineering Notes
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The author has studied the effects of schedule compression or stretch-out on total project cost within a much broader effort to study and predict the dynamics of the entire development process. The resulting cost/schedule tradeoffs were examined. Much of this project involved developing a comprehensive system-dynamics model. He used the model to conduct three simulation experiments. (1) He investigated the effects of different levels of schedule compression and stretch-out on total project cost in man-days and compared the results to those reported in the literature. (2) He addressed the stealthy role undersizing plays in schedule compression. (3) He investigated how different levels of managerial commitment affect the project's final cost and completion time. The results of all three experiments are presented and discussed.