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Mining message sequence graphs., , , and . ICSE, page 91-100. ACM, (2011)Condensing class diagrams by analyzing design and network metrics using optimistic classification., , , and . ICPC, page 110-121. ACM, (2014)Extended comprehensive study of association measures for fault localization., , , , and . Journal of Software: Evolution and Process, 26 (2): 172-219 (2014)Combined classifier for cross-project defect prediction: an extended empirical study., , , and . Frontiers Comput. Sci., 12 (2): 280-296 (2018)Measuring the Declared SDK Versions and Their Consistency with API Calls in Android Apps., , , , and . WASA, volume 10251 of Lecture Notes in Computer Science, page 678-690. Springer, (2017)How android app developers manage power consumption?: an empirical study by mining power management commits., , , , and . MSR, page 37-48. ACM, (2016)An empirical study of bugs in build process., , , , and . SAC, page 1187-1189. ACM, (2014)Practitioners' expectations on automated fault localization., , , and . ISSTA, page 165-176. ACM, (2016)Instance-Based Parameter Tuning via Search Trajectory Similarity Clustering., , and . LION, volume 6683 of Lecture Notes in Computer Science, page 131-145. Springer, (2011)VuRLE: Automatic Vulnerability Detection and Repair by Learning from Examples., , , , and . ESORICS (2), volume 10493 of Lecture Notes in Computer Science, page 229-246. Springer, (2017)