This work was supported partially by National Natural Science Foundation of China (Grant No. 61402103), and Jiangsu Natural Science Foundation (Grant Nos. BK20130633, BK20140644).
[1] Sumner W N, Zheng Y, Weeratunge D, et al. Precise calling context encoding. In: Proceedings of the 32nd ACM/IEEE International Conference on Software Engineering (ICSE), Cape Town, 2010. 525-534. Google Scholar
[2] Sumner W N, Zheng Y, Weeratunge D, et al. IEEE Trans Softw Eng, 2012, 381160-1177 Google Scholar
[3] Ball T, Larus J R. Efficient path profiling. In: Proceedings of the 29th annual ACM/IEEE international symposium on Microarchitecture (MICRO), Paris, 1996. 46-57. Google Scholar
[4] Li B, Wang L, Leung H, et al. J Syst Softw, 2012, 851558-1576 Google Scholar
[5] Vaswani K, Nori A V, Chilimbi T M. Preferential path profiling: compactly numbering interesting paths. In: Proceedings of the 34th Annual ACM SIGPLAN-SIGACT Symposium on Principles of Programming Languages (POPL), Nice, 2007. 351-362. Google Scholar
[6] Apiwattanapong T, Harrold M J. Selective path profiling. In: Proceedings of the 2002 ACM SIGPLAN-SIGSOFT Workshop on Program Analysis For Software Tools and Engineering (PASTE), Charleston, 2002. 35-42. Google Scholar
[7] Bond M D, McKinley K S. Practical path profiling for dynamic optimizers. In: Proceedings of the 3rd IEEE/ACM International Symposium on Code Generation and Optimization (CGO), San Jose, 2005. 205-216. Google Scholar
[8] Tallam S, Zhang X, Gupta R. Extending path profiling across loop backedges and procedure boundaries. In: Proceedings of the 2nd IEEE/ACM International Symposium on Code Generation and Optimization (CGO), San Jose, 2004. 251-264. Google Scholar
[9] Roy S, Srikant Y N. Profiling k-iteration paths: a generalization of the Ball-Larus profiling algorithm. In: Proceedings of the 7th International Symposium on Code Generation and Optimization (CGO), Seattle, 2009. 70-80. Google Scholar
[10] Joshi R, Bond M D, Zilles C. Targeted path profiling: lower overhead path profiling for staged dynamic optimization systems. In: Proceedings of the 2nd IEEE/ACM International Symposium on Code Generation and Optimization (CGO), San Jose, 2004. 239-250. Google Scholar
[11] Zhuang X, Serrano M J, Cain H W. Accurate, efficient, and adaptive calling context profiling. In: Proceedings of the 2006 ACM SIGPLAN Conference on Programming Language Design and Implementation (PLDI), Ottawa, 2006. 263-271. Google Scholar
[12] Ammons G, Ball T, Larus J R. Exploiting hardware performance counters with flow and context sensitive profiling. In: Proceedings of the ACM SIGPLAN'97 Conference on Programming Language Design and Implementation (PLDI), Las Vegas, 1997. 85-96. Google Scholar
[13] Nethercote N, Seward J. Valgrind: a framework for heavyweight dynamic binary instrumentation. In: Proceedings of the ACM SIGPLAN 2007 Conference on Programming Language Design and Implementation, San Diego, 2007. 89-100. Google Scholar
[14] Spivey J M. Softw Pract Exper, 2004, 34249-264 Google Scholar
[15] Villazon A, Binder W, Moret P. Flexible calling context reification for aspect-oriented programming. In: Proceedings of the 8th International Conference on Aspect-Oriented Software Development (AOSD), Charlottesville, 2009. 63-74. Google Scholar
[16] Bernat A R, Miller B P. Concurr Comput Pract Exper, 2007, 191533-1547 Google Scholar
[17] Bond M D, McKinley K S. Probabilistic calling context. In: Proceedings of the 22nd Annual ACM SIGPLAN Conference on Object-Oriented Programming, Systems, Languages, and Applications (OOPSLA), Montreal, 2007. 97-111. Google Scholar
[18] Mytkowicz T, Coughlin D, Diwan A. Inferred call path profiling. In: Proceedings of the 24th Annual ACM SIGPLAN Conference on Object-Oriented Programming, Systems, Languages, and Applications (OOPSLA), Orlando, 2009. 175-189. Google Scholar
[19] Zeng Q, Rhee J, Zhang H, et al. DeltaPath: precise and scalable calling context encoding. In: Proceedings of the 12th IEEE/ACM International Symposium on Code Generation and Optimization (CGO), Orlando, 2014. 109-119. Google Scholar
[20] Li J J, Wang Z J, Wu C G, et al. Dynamic and adaptive calling context encoding. In: Proceedings of the 12th IEEE/ACM International Symposium on Code Generation and Optimization (CGO), Orlando, 2014. 120-131. Google Scholar
Download PDF
