When　a　software　bug　report　is　assigned　to　a　developer　for　bug　resolution,　the　developer　needs　to　locate　the　bug　in　a　source　code　file　and　make　code　changes　correspondingly　to　resolve　the　software　bug.　In　fact,　most　of　time　of　the　developer　is　spent　on　bug　location　in　the　whole　process　of　bug　resolution.　This　study　proposes　a　method　level　fine-grained　bug　location　approach,　called　MethodLocator,　to　improve　the　efficiency　of　software　bug　resolution.　Firstly,　it　takes　the　vector　representation　of　the　bug　report　and　the　source　code　method　body　using　the　word　vector　(Word2Vec)　and　TF-IDF.　Secondly,　MethodLocator　augments　method　body　of　each　method　based　on　similarities　among　all　method　bodies　in　the　source　code　files.　Thirdly,　MethodLocator　locates　methods　for　change　to　resolve　the　bug　based　on　similarities　between　the　bug　report　and　the　augmented　methods.　Experimental　results　on　four　open　source　software　projects　as　ArgoUML,　Ant,　Maven,　and　Kylin　demonstrate　that　MethodLocator　is　better　than　state-of-the-art　techniques　in　method　level　bug　location.　©　Copyright　2019,　Institute　of　Software,　the　Chinese　Academy　of　Sciences.　All　rights　reserved.