Finding conclusion stability for selecting the best effort predictor in software effort estimation
Background: Conclusion Instability in software effort estimation (SEE) refers to the inconsistent results produced by a diversity of predictors using different datasets. This is largely due to the ranking instability problem, which is highly related to the evaluation criteria and the subset of the data being used.
stability effort estimation evaluation criteria data mining linear regression regression trees neural nets analogy mmre