Kan Qi

Registered user since Fri 29 Mar 2019

Name:Kan Qi
Bio:

I am currently a PhD student at University of Southern California, advised by Prof. Barry Boehm. My primary research work at USC is automated software architectural complexity analysis of mobile and web applications using innovative machine learning methods. Before my PhD study, I obtained my MS degree from University of Southern California and my BS degree from Changchun University, both in computer science.

Affiliation:University of Southern California
Personal website:https://kan-qi.github.io/
Research interests:Software Transaction Analysis, Software Cost and Risk Prediction, Markov chain Monte Carlo Methods

Contributions

ICSSP 2019 Author of Process-Driven Incremental Effort Estimation within the ICSSP 2019-track
* ICSE 2018 * Author of Poster T29: UMLx: a UML Diagram Analytic Tool for Software Management Decisions within the Posters -track