Software project development cost estimation
Journal of Systems and Software
Software Engineering Journal - Controlling software projects
Data processing project management
Data processing project management
Software project dynamics: an integrated approach
Software project dynamics: an integrated approach
On the use of software cost models
Information and Management
Software Engineering Economics
Software Engineering Economics
SAICSIT '02 Proceedings of the 2002 annual research conference of the South African institute of computer scientists and information technologists on Enablement through technology
Information Systems - Special issue: The 15th international conference on advanced information systems engineering (CAiSE 2003)
The Future of Empirical Methods in Software Engineering Research
FOSE '07 2007 Future of Software Engineering
A Systematic Review of Theory Use in Software Engineering Experiments
IEEE Transactions on Software Engineering
ACM Transactions on Software Engineering and Methodology (TOSEM)
Quantitative assessment of enterprise resource planning software customisation
International Journal of Information Systems and Change Management
Information Systems - Special issue: The 15th international conference on advanced information systems engineering (CAiSE 2003)
Modeling dynamics in agile software development
ACM Transactions on Management Information Systems (TMIS)
A review of studies on expert estimation of software development effort
Journal of Systems and Software
International Journal of Information Technology Project Management
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Software project management is becoming an increasingly critical task in many organizations. While the macro-level aspects of project planning and control have been addressed extensively, there is a serious lack of research on the micro-empirical analysis of individual decision making behavior. The heuristics deployed to cope with the problems of poor estimation and poor visibility that hamper software project planning and control are investigated, and the implications for software project management are examined. A laboratory experiment in which subjects managed a simulated software development project is reviewed. The subjects were given project status information at different stages of the lifecycle and had to assess software productivity in order to dynamically readjust project plans. A conservative anchoring and adjustment heuristic is shown to explain the subjects' decisions quite well. Implications for software project planning and control are presented.