Valgrind

Nethercote, Nicholas; Seward, Julian

doi:10.1016/s1571-0661(04)81042-9

Cited by 256 publications

(12 citation statements)

References 23 publications

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“…(2) while stack_dfs is not empty do (3) Get the top node block from stack_dfs. 4if block is parsed then (5) if block contains end_ins then (6) Save the traversed nodes, and pop block from stack_dfs. (7) else if all the adjacent nodes of block are visited then (8) Pop block from stack_dfs, mark all adjacent nodes as non-visited.…”

Section: Intercepting All Memory Reads and Writesmentioning

confidence: 99%

“…If they are not equal, that means the precious analysis Parse curr_ins. (5) if curr_ins is a branch instruction then (6) if the transfer target can be directly determined then (7) Get the target instruction target_ins. (8) Insert curr_ins and extra analysis code to buf.…”

Section: Intercepting Only Memory Writes Except the Stackmentioning

confidence: 99%

“…ere are many representative sophisticated tools with analysis granularity at di erent levels such as Valgrind [5], DynamoRIO [6], Intel Pin [7], and Frida [8]. For instruction-level analysis, because the instrumentation process necessarily involves code rewriting and interpretive execution, it will lead to the expansion of the original code and the modi cation of the target program, which are the obvious features that can be easily detected [9].…”

Section: Introductionmentioning

confidence: 99%

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BAHK: Flexible Automated Binary Analysis Method with the Assistance of Hardware and System Kernel

Pan

Zhuang

Sun

2020

Security and Communication Networks

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To protect core functions, applications often utilize the countermeasure techniques such as antidebugging to avoid analysis by outsiders, especially the malware. Dynamic binary instrumentation is commonly used in the analysis of binary programs. However, it can be easily detected and has stability and applicability problems as it involves program rewriting and just-in-time compilation. This paper proposes a new lightweight analysis method for binary programs with the assistance of hardware features and the operating system kernel, named BAHK, which can automatically analyze the target program by stealth and has wide applicability. With the support of underlying infrastructures, this paper designs several optimization strategies and specific analysis approaches at instruction level to reduce the impact of fine-grained analysis on the performance of target program so that it can be well applied in practice. The experimental results show that the proposed method has good stealthiness, low memory consumption, and positive user experience. In some cases, it shows better analysis performance than the traditional dynamic binary instrumentation method. Finally, the real case studies further show its feasibility and effectiveness.

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Section: Intercepting All Memory Reads and Writesmentioning

confidence: 99%

Section: Intercepting Only Memory Writes Except the Stackmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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BAHK: Flexible Automated Binary Analysis Method with the Assistance of Hardware and System Kernel

Pan

Zhuang

Sun

2020

Security and Communication Networks

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“…Seven of the students reported this assignment as their only memory analysis experience, which we regarded as an experience of 0.1 years. Besides VisualVM [108] and MAT [106], the participants already had experience in various tools including Java Melody [51,69], Android Studio [37,42], Valgrind [26,79], and Java Mission Control [86] (including Java Flight Recorder [82]).…”

Section: Study Subjectsmentioning

confidence: 99%

Evaluating an Interactive Memory Analysis Tool: Findings from a Cognitive Walkthrough and a User Study

Weninger

Grünbacher

Gander

et al. 2020

Proc. ACM Hum.-Comput. Interact.

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Memory analysis tools are essential for finding and fixing anomalies in the memory usage of software systems (e.g., memory leaks). Although numerous tools are available, hardly any empirical studies exist on their usefulness for developers in typical usage scenarios. Instead, most evaluations are limited to reporting performance metrics. We thus conducted a study to empirically assess the usefulness of the interactive memory analysis tool AntTracks Analyzer. Specifically, we first report findings from assessing the tool using a cognitive walkthrough, guided by the Cognitive Dimensions of Notations Framework. We then present the results of a qualitative user study involving 14 subjects who used AntTracks to detect and resolve memory anomalies. We report lessons learned from the study and implications for developers of interactive memory analysis tools. We hope that our results will help researchers and developers of memory analysis tools in defining, selecting, and improving tool capabilities.

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“…To extract these traces, we developed a trace collector by modifying the Cachegrind tool of Valgrind 3.2.3 [9]. The characteristics of the captured traces are described in Table I.…”

Section: Empirical Evaluationsmentioning

confidence: 99%

Efficient management of PCM-based swap storage

Park

Ahn

Bahn

2015

IEICE Electron. Express

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This letter explores the performance of PCM-based swap storage and presents three management techniques. First, we attach PCM on DIMM slots to eliminate block I/O overhead and remove the context switching process while handling page faults. Second, we reduce the page size and turn off the read-ahead option to consider the high performance characteristics of PCM. Third, we decrease the DRAM memory size to save energy consumption without sacrificing the performance.

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Valgrind

Cited by 256 publications

References 23 publications

BAHK: Flexible Automated Binary Analysis Method with the Assistance of Hardware and System Kernel

BAHK: Flexible Automated Binary Analysis Method with the Assistance of Hardware and System Kernel

Evaluating an Interactive Memory Analysis Tool: Findings from a Cognitive Walkthrough and a User Study

Efficient management of PCM-based swap storage

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