This study addresses the problem of cost estimation in the context of software evolution by building a set of quantitative models and assessing their predictive power. The models aim at capturing the relationship between effort, productivity and a suite of metrics of software evolution extracted from empirical data sets.
CITATION STYLE
Ramil, J. F. (2000). Algorithmic cost estimation for software evolution. In Proceedings - International Conference on Software Engineering (pp. 701–703). IEEE. https://doi.org/10.1145/337180.337587
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