Title :
ExceptionTracer: A Solution Recommender for Exceptions in an Integrated Development Environment
Author :
Amintabar, Vahid ; Heydarnoori, Abbas ; Ghafari, Mohammad
Abstract :
Exceptions are an indispensable part of the software development process. However, developers usually rely on imprecise results from a web search to resolve exceptions. More specifically, they should personally take into account the context of an exception, then, choose and adapt a relevant solution to solve the problem. In this paper, we present Exception Tracer, an Eclipse plug in that helps developers to resolve exceptions with respect to the stack trace in Java programs. In particular, Exception Tracer automatically provides candidate solutions to an exception by mining software systems in the Source Forge, as well as listing relevant discussions about the problem from the Stack Overflow.
Keywords :
Context; Data mining; Databases; Java; Libraries; Software; Software engineering; ExceptionTracer; Fixing Exceptions; Recommender System; SourceForge; StackOverflow;
Conference_Titel :
Program Comprehension (ICPC), 2015 IEEE 23rd International Conference on
Conference_Location :
Florence, Italy
DOI :
10.1109/ICPC.2015.45