Summary In integration testing, integrated software modules or components are evaluated as a whole to determine if they behave correctly. Mutation testing is recognized as one of the strongest approaches for evaluating the effectiveness of test suites, and it is important to generate effective mutants efficiently for integration tests. It is difficult to generate integration mutants that create an error state in one component with certain assurances that this error state will affect computations in some other components. Unfortunately, little research exists that addresses this big and important problem to improve the quality of integration test suites. We created a solution for Java Mutation Integration Testing (jMINT) to generate mutants that specifically target integration tests. We conducted empirical investigation into integration bugs that were reported in bug repositories for popular open-source projects. Based on this empirical investigation, we formulated a fault model for integration bugs that gave us a key insight of using static dataflow analysis to obtain information about how different components interact in an application. We use this information to generate mutants by applying mutation operators to dataflow paths through which components exchange data. We implement our ideas in a tool and we evaluate this tool on five open-source applications and compare it with muJava, a publicly available mutation tool for Java. Our evaluation shows that even though jMINT takes approximately five times more memory in the worse case, it leads to reduction of the number of generated mutants by up to five times, with an increased mutant killing ratio and approximately the same mutant generation time.      Downloads and Experimental Results To reproduce results of our experiments with jMINTyou need to download an gz file and execute steps that are described in the corresponding README files.. People jjMINT was created at the Advanced Research In Software Engineering (ARISE) lab at the Department of Computer Science of the University of Illinois at Chicago. Mark Grechanik, Project Lead Email: drmark[at]uic.edu Gurudev Devanla, Project Co-Lead Email: gurudev.devanla[at]gmail.com