Software metrics (2nd ed.): a rigorous and practical approach
Software metrics (2nd ed.): a rigorous and practical approach
A Critique of Software Defect Prediction Models
IEEE Transactions on Software Engineering
Towards an Ontology of software maintenance
Journal of Software Maintenance: Research and Practice
Software Engineering Economics
Software Engineering Economics
Towards a Framework for Software Measurement Validation
IEEE Transactions on Software Engineering
A Causal Model for Software Cost Estimating Error
IEEE Transactions on Software Engineering
METRICS '99 Proceedings of the 6th International Symposium on Software Metrics
Measuring Effort Estimation Uncertainty to Improve Client Confidence
Software Quality Control
A Procedure for Assessing the Influence of Problem Domain on Effort Estimation Consistency
Software Quality Control
Group Processes in Software Effort Estimation
Empirical Software Engineering
A Probabilistic Model for Predicting Software Development Effort
IEEE Transactions on Software Engineering
Probabilistic estimation of software size and effort
Expert Systems with Applications: An International Journal
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Small software development companies have special effort estimation requirements. In particular, small companies often find that they must tender for contracts for which they have no expertise in the project problem or solution domains. In addition, they have little spare capacity for project management and improvement. They have therefore no formal way of learning how to improve future effort estimates. A discussion of why small software company's effort estimation needs are likely to be different to larger companies is provided; and a proposal for specific support for effort estimation in smaller companies is given. The support takes the form of a simple Bayesian statistical modeling approach. The approach can be used by estimators to learn how to improve the consistency of their estimation in existing and in novel problem and solution domains.