Mon, Apr 27, 2020 @ 10:00 AM - 12:00 PM
Thomas Lord Department of Computer Science
Ph.D. Defense - Anandi Hira
Mon, April 27, 2020
10:00 am - 12:00 pm
Calibrating COCOMO(R) II for Functional Size Metrics
PhD Candidate: Anandi Hira
Date, Time, and Location: Monday, April 27, 2020 at 10am on https://usc.zoom.us/j/92966727414
Committee: Dr. Barry Boehm, Dr. Shang-hua Teng, Dr. Bherokh Khoshnevis
To date, a generalizable effort estimation model with functional size metrics does not exist. This dissertation provides a generalizable effort estimation model by calibrating the COCOMO II model (a generalizable model that uses lines of code as size input) to use either IFPUG (FPs) or COSMIC Function Points (CFPs) directly as size parameters. The calibrated COCOMO II model estimated within 25% of the actuals 68% of the time for FPs and 70% of the time for CFPs. In comparison, the best of the alternative solutions provided estimates within 25% of the actuals 36% of the time for FPs and 38% of the time for CFPs.
FPs and CFPs have been found to work well in different scenarios: FPs are well-suited for Management Information Systems (MIS) or data-driven applications, while CFPs are also well-suited for embedded, real-time, and web applications. No empirical studies have attempted to characterize software attributes and how FSMs behave differently with respect to them. Five types of software attributes were identified in the datasets used for this dissertation based on the number and complexity of operations and algorithms. The results show that the correlation between FPs/CFPs and effort depends on the amount of complexity operations required with respect to the functional processes.
WebCast Link: https://usc.zoom.us/j/92966727414
Audiences: Everyone Is Invited
Contact: Lizsl De Leon