Predicting with sparse data.

Predicting with sparse data.

It is well-known that effective prediction of project cost related factors is an important aspect of software engineering. Unfortunately, despite extensive research over more than 30 years, this remains a significant problem for many practitioners. A major obstacle is the absence of reliable and sys...

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Bibliographic Details
Published in:IEEE Transactions on software engineering 27, 11 (2001).
Main Author: Shepperd, M.
Format: Article
Language:English
Subjects:
AHP.
Analytic Hierarchy Process.
DataSalvage.
SDM.
Expert judgement.
Minimum data requirement.
Pairwise comparison errors.
Pairwise comparison technique.
Practicing project manager.
Project cost related factor prediction.
Project prediction.
Sensitivity analysis.
Single known point.
Software engineering.
Software project effort.
Software tool.
Sparse data.
Sparse data method.
Systematic historic data.
Usability trial.