Maintenance Effort and Cost Estimation Using Software Functional Sizes
نویسندگان
چکیده
To establish the estimation models, the linear regression technique is used to analyze the historical data. This technique is also applied in combination with logarithm transformation of the collected data. Our results show that the correlation coefficients (or R) between size (FFP) and real effort and size (FFP) and cost are 89% and 88% respectively. With logarithm transformation, the correlation coefficients are 85% and 86% for effort and cost respectively. We recommend using the established models in combination with logarithm transformation because the prediction quality of these models (PRED) is better than that of the models established without it.
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