Abstract
We derive a model for estimating adaptive software maintenance effort in person hours, the Adaptive Maintenance Effort Model (AMEffMo). A number of metrics such as lines of code changed and number of operators changed were found to be strongly correlated to maintenance effort. The regression models performed well in predicting adaptive maintenance effort as well as provide useful information for managers and maintainers.