Abstract
Code smells are symptoms of sub-optimal software design and implementation choices. Detection tools were actively developed for general code smell related to coupling and cohesion issues, but such tools cannot capture domain-specific problems. In this work, we fill the gap in data persistence and query code quality by proposing HBSniff, i.e., a static analysis tool for detecting 14 code smells as well as 4 mapping metrics in Java Hibernate Object-Relational Mapping (ORM) codes. HBSniff is tested, documented, and manually validated. It also generates readable and customizable reports for every project. Moreover, it is beneficial to Mining Software Repository (MSR) research requiring large-scale analysis since project compilation is not needed for detection.
Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
