My general areas of interest are Empirical Software Engineering (ESE) and Data Mining. Specifically, I am currently studying conclusion instability in ESE and finding solutions to privacy issues in Software Engineering.
My research so far has shown that less data (as low as 10% of original data) can make comparable and sometimes better models for defect prediction or classification. Additionally, I have studied cross-company defect prediction (CCDP) and confirmed that despite previous work, CCDP can be successful when the training data is filtered.
This research in CCDP led to a focus on privacy issues in Software Engineering. In particular, privacy issues are clear with CCDP since it requires data-sharing. I've studied what makes a good privacy algorithm for software engineering data and have shown that privacy can be achieved with little degradation to utility or efficacy of defect-prediction models.
Position
-
PostDoc Researcher
Lero - The Irish Software Engineering Research Center at the University of Limerick
(2014 - 2018)
Education
-
West Virginia University
PhD Degree in Computer Science, 2014 -
West Virginia University
Masters Degree in Computer Science Earned, 2010 -
Coppin State University
Bachelors Degree in Computer Science Earned, 2008
Awards
-
WVU Chancellor Scholar
Provides funding for PhD studies, (2011 - 2014) -
MDOT Fellow
From Maryland Department of Transportation, (June 2007 - December 2007) -
Howard Hughes Fellow
Summer internship at Johns Hopkins University - Analysing Neuro-data, (Summer 2005) -
Honors College of Coppin State University
Provided funding for Undergraduate studies (August 2004 - December 2007)
Activities
-
PROMISE Repository (June 2012 - present)
Maintenance of data-sets in the repository -
PROMISE Conference (2011 and 2012)
Provided admin support on handling the publications -
Colloquium XII For Aspiring Minority Doctoral Candidates
Served on student panel at this event answering questions about Student life and experience as a Doctoral Student.