56 research outputs found
An Empirical Evaluation of Effort Prediction Models Based on Functional Size Measures
Software development effort estimation is among the most interesting issues for project managers, since reliable estimates are at the base of good planning and project control. Several different techniques have been proposed for effort estimation, and practitioners need evidence, based on which they can choose accurate estimation methods.
The work reported here aims at evaluating the accuracy of software development effort estimates that can be obtained via popular techniques, such as those using regression models and those based on analogy.
The functional size and the development effort of twenty software development projects were measured, and the resulting dataset was used to derive effort estimation models and evaluate their accuracy.
Our data analysis shows that estimation based on the closest analogues provides better results for most models, but very bad estimates in a few cases. To mitigate this behavior, the correction of regression toward the mean proved effective.
According to the results of our analysis, it is advisable that regression to the mean correction is used when the estimates are based on closest analogues. Once corrected, the accuracy of analogy-based estimation is not substantially different from the accuracy of regression based models
III-V HBTs on 300 mm Si substrates using merged nano-ridges and its application in the study of impact of defects on DC and RF performance
The authors gratefully acknowledge the support of imec members from 300mm fab, III-V lab and the amsimec lab
3D sequential low temperature top tier devices using dopant activation with excimer laser anneal and strained silicon as performance boosters
Comparison of Electrical Performance of Co-Integrated Forksheets and Nanosheets Transistors for the 2nm Technological Node and Beyond
Low temperature oxidation and selective etching of chemical vapor deposition a-SiC:H films
P.3.c.046 Efficacy and safety of JNJ 37822681, a fast dissociating D2 receptor antagonist, in the treatment of schizophrenia
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