Finding conclusion stability for selecting the best effort predictor in software effort estimation

Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

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Computer Science

100
Software Computer Science
100
Effort Estimation Computer Science
50
Procedure Computer Science
25
Algorithms Computer Science
25
Performance Measure Computer Science
25
Relative Performanc... Computer Science
25
Evaluation Criterio... Computer Science
25
Software Engineerin... Computer Science
25
Instability Problem Computer Science
25
Regression Tree Computer Science
25
Evaluation Computer Science

Keyphrases

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Software Effort Est... Keyphrases
100
Conclusion Stabilit... Keyphrases
100
Aggregate Results Keyphrases
50
Sanity Checks Keyphrases
25
Performance Measure... Keyphrases
25
Error Measures Keyphrases
25
Instability Problem Keyphrases
25
Relative Performanc... Keyphrases
25
Algorithm Evaluatio... Keyphrases
25
Evaluation Criteria Keyphrases
25
Tree-based Keyphrases
25
Different Datasets Keyphrases
25
Empirical Software ... Keyphrases
25
Analogy-making Keyphrases
25
Best Performers Keyphrases
25
Regression Tree Keyphrases
25
Wilcoxon Rank Test Keyphrases
25
Single Errors Keyphrases
25
Inconsistent Result... Keyphrases

INIS

100
stability INIS
100
computer codes INIS
60
instability INIS
40
evaluation INIS
40
performance INIS
40
datasets INIS
20
algorithms INIS
20
errors INIS
20
engineering INIS
20
data INIS

Economics, Econometrics and Finance

100
Cheque Economics, Econometrics a...
50
Diversity Economics, Econometrics a...
50
Ranking Economics, Econometrics a...
Research OutputsResearch Output authored by Finding conclusion stability for selecting the best effort predictor in software effort estimation is tagged with the concept