Vincenzo Musco, Ph.D.

Vincenzo Musco

Postdoctoral researcher @ New Jersey Institute of Technology

Choose a job you love, and you will never have to work a day in your life.
— Confucius.

I am a postdoctoral researcher at the New Jersey Institute of Technology, NJ, United States. I received the Ph.D. in Computer Science from the University of Lille 3 in November 2016. I worked on software engineeging with Philippe Preux and Martin Monperrus. Moreover, I received the M.Sc. in computer science from the University of Paris 7 (France) in 2011 and the B.Sc. in computer science in 2009 from the Higher Education Institution of Liège (Belgium). Thanks to an Erasmus exchange on 2008, I also received the B.Sc. from the University Joseph Fourier (Grenoble, France). The complete list of my formations can be found in my Curriculum page.

I am interested in static as well as dynamic analysis, empirical software engineering and propagation analysis. During my Ph.D., I work on change impact analysis, fault localization and recommendation systems based on graphs and synthetic data such as artificially generated faults using mutation testing. Lately, I have started to work on learning approaches and on the investigation of software properties to generate synthetic software graphs. Other future research directions which interest me include deep-learning applied to software engineering, web and mobile technologies and their inherent security aspects.

Research Keywords

  • Program analysis (static/dynamic);
  • Empirical software engineering;
  • Change impact analysis;
  • Fault localization;
  • Graphs;
  • Software testing;
  • Mutation testing.

News

2017-07
Started working at NJIT as a Postdoctoral Researcher.
2016-11-03
I received the Ph.D. in Computer Science from the University of Lille 3. Click here to download the dissertation.
2016-07-30
Paper "Mutation-Based Graph Inference for Fault Localization" accepted to SCAM'16. I will be in Raleigh, US for presenting it.
2016-07-16
Paper "A Large-scale Study of Call Graph-based Impact Prediction using Mutation Testing" accepted to SQJ.

Contact

E-mail:
vincenzo.a.musco (at) njit (dot) edu
Google Scholar:
scholar.google.com
Researchgate:
researchgate.net
Linkedin:
linkedin.com
Github:
github.com
dblp:
dblp.uni-trier.de