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Fri 22 Jan 2016 10:55 - 11:20 at Grand Bay North - Track 1: Program Design and Analysis Chair(s): Manu Sridharan

Call traces, which record the sequence of function calls and returns, have wide applications to program analysis activities such as bug reproduction, fault diagnosis, performance analysis, program comprehension and anomaly detection. However, the conventional call trace collection by instrumenting additional code at each function call/return site induces high space and time overhead. This paper aims at reducing the recording overheads by instrumenting only a small amount of call sites while keeping the capability to recover the trace with its full fidelity. We propose a call trace model and a logged call trace model based on an LL(1) grammar, which enables us to define the criteria of a feasible solution to call trace collection. Based on the two models, we prove that to collect call traces with minimal instrumentation is an NP-hard problem. We then propose an efficient approach to obtaining a suboptimal solution. We implemented our approach as a tool {\sf Casper} and evaluated it using the DaCapo benchmark suite. The experiment results show that our approach causes significantly lower runtime (and space) overhead than two state-of-the-arts approaches.

Fri 22 Jan

POPL-2016-papers
10:30 - 12:10: Research Papers - Track 1: Program Design and Analysis at Grand Bay North
Chair(s): Manu SridharanSamsung Research America
POPL-2016-papers10:30 - 10:55
Talk
Thomas RepsUniversity of Wisconsin - Madison and Grammatech Inc., Emma TuretskyCS Dept., Univ. of Wisconsin-Madison, Prathmesh PrabhuGoogle
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POPL-2016-papers10:55 - 11:20
Talk
Rongxin WuDepartment of Computer Science and Engineering, The Hong Kong University of Science and Technology, Xiao XiaoThe Hong Kong University of Science and Technology, Shing-Chi CheungDepartment of Computer Science and Engineering, The Hong Kong University of Science and Technology, Hongyu ZhangMicrosoft Research, Charles ZhangHKUST
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POPL-2016-papers11:20 - 11:45
Talk
Thomas GilrayUniversity of Utah, Steven Lyde, Michael D. AdamsUniversity of Utah, Matthew MightUniversity of Utah, USA, David Van HornUniversity of Maryland, College Park
Pre-print Media Attached
POPL-2016-papers11:45 - 12:10
Talk
Matthew FlattUniversity of Utah
Pre-print Media Attached