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Locating bugs in industry-size software systems is time consuming and challenging. An automated approach for assisting the process of tracing from bug descriptions to relevant source code benefits developers. A large body of previous work aims to address this problem and demonstrates considerable achievements. Most existing approaches focus on the key challenge of improving techniques based on textual similarity to identify relevant files. However, there exists a lexical gap between the naturaldoi:10.1145/3196398.3196415 dblp:conf/msr/0002LM08 fatcat:zd2rwmid5bbsrctxk6fnn334ha