An empirical validation of software cost estimation models
Communications of the ACM
Empirical studies of assumptions that underlie software cost-estimation models
Information and Software Technology
Software Engineering Economics
Software Engineering Economics
Software development cost estimation approaches – A survey
Annals of Software Engineering
Reverse Engineering and Design Recovery: A Taxonomy
IEEE Software
Empirically Guided Software Effort Guesstimation
IEEE Software
Web Development: Estimating Quick-to-Market Software
IEEE Software
Quantifying the Effects on Effort of Process Improvement
IEEE Software
A General Empirical Solution to the Macro Software Sizing and Estimating Problem
IEEE Transactions on Software Engineering
IEEE Transactions on Software Engineering
Effort estimation for corrective software maintenance
SEKE '02 Proceedings of the 14th international conference on Software engineering and knowledge engineering
Journal of Systems and Software
Statistically Based Process Monitoring: Lessons from the Trench
ICSP '09 Proceedings of the International Conference on Software Process: Trustworthy Software Development Processes
ICCSA'12 Proceedings of the 12th international conference on Computational Science and Its Applications - Volume Part IV
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This paper presents a method for dynamic effort estimation, together with its supporting tool, and the experimental validation on a renewal project of a very aged software system. Method characteristics such as dynamic tuning and fine granularity allow the tool to quickly react to process variations. The experimental validation shows how the combination of meaningful predictors and fine grain calibration is effective for understanding the enacted process and its implicit changes, or controlling the efficacy of explicit process changes. The study also confirms that the estimation model is process-dependent and then cannot be reused for other processes albeit similar.