NDLI: A replication of the use of regression towards the mean (R2M) as an adjustment to effort estimation models

Content Provider	IEEE Xplore Digital Library
Author	Shepperd, M. Cartwright, M.
Copyright Year	2005
Description	Author affiliation: Brunel Univ., Uxbridge (Shepperd, M.; Cartwright, M.)
Abstract	The paper performs an independent replication of the Jorgensen et al. study that advocates exploiting a phenomenon known as regression to the mean for software project productivity when predicting software project effort. We used two further industrial data sets in which we compare accuracy levels with and without this adjustment. Our results were broadly consistent with those from the Jorgensen study. Using the R2M resulted in a small increase in predictive accuracy. For one data set it was necessary to first partition it into more homogeneous subsets. Also when there was very weak correlation between predicted and actual productivity using the sample mean was the least bad strategy. We believe that independent validation of results is an important activity. Specifically our results add further support for the R2M approach in that there is a small, but positive, effect upon prediction accuracy. By combining results from both studies we observe a consistency across all 7 data sets
Starting Page	10
Ending Page	38
File Size	131931
Page Count	29
File Format	PDF
ISBN	0769523714
ISSN	15301435
DOI	10.1109/METRICS.2005.5
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2005-09-19
Publisher Place	Italy
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Accuracy Software engineering Productivity Inspection Project management Programming Proposals Keyword search Intersymbol interference Conference proceedings empirical analysis project management software project effort estimation estimation by analogy regression towards the mean replication
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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