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This paper presents a novel methodology for localizing faults in code as it evolves. Our insight is that the essence of failure-inducing edits made by the developer can be captured using mechanical program transformations (e.g., mutation changes). Based on the insight, we present the FIFL framework, which uses both the spectrum information of edits (obtained using the existing FAULTTRACER approach) as well as the potential impacts of edits (simulated by mutation changes) to achieve moredoi:10.1145/2509136.2509551 dblp:conf/oopsla/Zhang0K13 fatcat:cfu3q7woibabjnqutuclnv46eq