Assessment and control of software risks
Assessment and control of software risks
The mythical man-month (anniversary ed.)
The mythical man-month (anniversary ed.)
Components of Software Development Risk: How to Address Them? A Project Manager Survey
IEEE Transactions on Software Engineering
Quatitative IT portolio management
Science of Computer Programming
A Review of Surveys on Software Effort Estimation
ISESE '03 Proceedings of the 2003 International Symposium on Empirical Software Engineering
An Empirical Study of Software Project Bidding
IEEE Transactions on Software Engineering
Anchoring and adjustment in software estimation
Proceedings of the 10th European software engineering conference held jointly with 13th ACM SIGSOFT international symposium on Foundations of software engineering
The Standish report: does it really describe a software crisis?
Communications of the ACM - Music information retrieval
Toward an assessment of software development risk
Journal of Management Information Systems - Special section: Strategic and competitive information systems
A Systematic Review of Software Development Cost Estimation Studies
IEEE Transactions on Software Engineering
Identifying Software Project Risks: An International Delphi Study
Journal of Management Information Systems
Quantifying IT estimation risks
Science of Computer Programming
Quantifying IT forecast quality
Science of Computer Programming
How large are software cost overruns? A review of the 1994 CHAOS report
Information and Software Technology
The Rise and Fall of the Chaos Report Figures
IEEE Software
A review of studies on expert estimation of software development effort
Journal of Systems and Software
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The study examines the impact of lack of experience in the domain problem or lack of experience with the technologies used in a software development project on the accuracy of single expert estimation of task effort, as measured by estimated versus actual effort. Expert judgment in the estimation of task effort is the most frequently used estimation technique for software projects. Estimators rely on their experience, business domain knowledge, and technical expertise. Occasionally, organizations lack experts on staff that have relevant prior experience on some business or technology related aspects of the project. This research investigates the impact of such incomplete expertise on the reliability of estimates.