Classifying code comments in Java Mobile Applications
Developers adopt code comments for different reasons such as document source codes or change program flows. Due to a variety of use scenarios, code comments may impact on readability and maintainability. In this study, we investigate how developers of 5 open-source mobile applications use code comments to document their projects. Additionally, we evaluate the performance of two machine learning models to automatically classify code comments. Initial results show marginal differences between desktop and mobile applications.
I am an Italian Software Engineer with a background in both Software Development and Hardware Design. Currently, I am pursuing a Ph.D. in Computer Science at the Delft University of Technology, The Netherlands. My research explores the empirical software engineering field. My broad goal is to understand how unexplored aspects of Modern Code Review may impact on development processes with the purpose to address issues and propose considerable solutions for industrial companies.
Sun 27 May
|12:00 - 12:06|
Roberto VerdecchiaGran Sasso Science Institute, Vrije Universiteit AmsterdamLink to publication Pre-print
|12:06 - 12:12|
Breno Dantas CruzVirginia Tech
|12:12 - 12:18|
Luca PascarellaDelft University of TechnologyPre-print
|12:18 - 12:24|
|12:24 - 12:30|
Gemma CatolinoUniversity of Salerno