Incremental and iterative processes compel vendors to release numerous versions of the software and quality of each and every version is the top most priority for vendors. Bug prediction models attempt to rank or identify the bug prone files so that quality assurance team can optimally utilize their resources to ensure the quality delivery. Recently, Researchers proposed effort aware bug prediction models wherein files are ranked not only based on their bug proneness but also on the effort that is required to perform quality assurance activities like testing, code review etc. on bug prone files. And Cyclomatic Complexity is being considered as a metric for the effort required irrespective of the assurance activity that will be undertaken during post prediction phases. We propose effort aware bug prediction model that will consider the effort required to perform the specific quality assurance activity and empirically prove the supremacy of these models over the existing effort aware models. © Springer International Publishing Switzerland 2016.