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检索条件"主题词=program dynamic analysis"

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dynamic analysis of Embedded Software using Execution Replay 17

Dynamic Analysis of Embedded Software using Execution Replay

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17th IEEE International Symposium on Object/Component/Service-Oriented Real-Time Distributed Computing (ISORC)

作者： Song, Young Wn Lee, Yann-Hang Arizona State Univ Comp Sci & Engn Tempe AZ 85281 USA

ISBN: (纸本)9781479944309

For program optimization and debugging, dynamic analysis tools, e.g., profiler, data race detector, are widely used. To gather execution information, software instrumentation is often employed for its portability and convenience. Unfortunately, instrumentation overhead may change the execution of a program and lead to distorted analysis results, i.e., probe effect. In embedded software which usually consists of multiple threads and external inputs, program executions are determined by the timing of external inputs and the order of thread executions. Hence, probe effect incurred in an analysis of embedded software will be more prominent than in desktop software. This paper presents a reliable dynamic analysis method for embedded software using deterministic replay. The idea is to record thread executions and I/O with minimal record overhead and to apply dynamic analysis tools in replayed execution. For this end, we have developed a record/replay framework called P-Replayer, based on Lamport's happens-before relation. Our experimental results show that dynamic analyses can be managed in the replay execution enabled by P-Replayer as if there is no instrumentation on the program.

关键词： program dynamic analysis probe effect deterministic replay profiling embedded software

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Managing trace data volume through a heuristical clustering process based on event execution frequency

Managing trace data volume through a heuristical clustering ...

引用

8th European Conference on Software Maintenance and Reengineering (CSMR 2004)

作者： Zaidman, A Demeyer, S Univ Antwerp Dept Math & Comp Sci Lab On Reengn B-2020 Antwerp Belgium

ISBN: (纸本)076952107X

To regain architectural insight into a program using dynamic analysis, one of the major stumbling blocks remains the large amount of trace data collected. Therefore, this paper Proposes a heuristic which divides the trace data into recurring event clusters. To compose such clusters the Euclidian distance is used as a dissimilarity measure on the frequencies of the events. Manual inspection of these event sequences revealed that the heuristic provides interesting starting points for further examination.

关键词： program diagnostics pattern clustering reverse engineering program visualisation trace data volume heuristical clustering process event execution frequency program dynamic analysis Euclidian distance

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ProExtor: Mining API Protocols for program Vulnerability Detection

ProExtor: Mining API Protocols for Program Vulnerability Det...

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作者： Huijia Ye Juwei Rao Yang Shi Zhihua Li Electric Power Dispatching Control Center Meizhou Power Supply Bureau Production Technology Department Meizhou Power Supply Bureau

API protocols play an important role in program verification, testing, evolution and other phases of the software development process. Many approaches have been proposed to mine API protocols automatically from programs. However, few tools are available,especially dynamical API protocol mining tools. In this paper, we present a dynamical API protocol mining tool for Java programs:ProExtor. Our tool mines API protocols in an online mode based on the instrumentation technique of Java agent. For each class, it produces two models: a probabilistic model and a deterministic model. The probabilistic model will be evolved persistently when more application programs are fed for mining. The deterministic model is transformed from the latest probabilistic model, which can be used for program verification, testing, evolution, etc. Both models can be visualized with the software Graphviz. We elaborate design and implementation details of our tool and an application to a real-world program. We believe our work is a good reference for the development of similar tools.

关键词： program dynamic analysis program Instrumentation program Specification Mining

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ProExtor: Mining API Protocols for program Vulnerability Detection 21

ProExtor: Mining API Protocols for Program Vulnerability Det...

引用

Proceedings of the 3rd International Conference on Advanced Information Science and System

作者： Huijia Ye Juwei Rao Yang Shi Zhihua Li Electric Power Dispatching Control Center Meizhou Power Supply Bureau China

ISBN: (纸本)9781450385862

API protocols play an important role in program verification, testing, evolution and other phases of the software development process. Many approaches have been proposed to mine API protocols automatically from programs. However, few tools are available, especially dynamical API protocol mining tools. In this paper, we present a dynamical API protocol mining tool for Java programs: ProExtor. Our tool mines API protocols in an online mode based on the instrumentation technique of Java agent. For each class, it produces two models: a probabilistic model and a deterministic model. The probabilistic model will be evolved persistently when more application programs are fed for mining. The deterministic model is transformed from the latest probabilistic model, which can be used for program verification, testing, evolution, etc. Both models can be visualized with the software Graphviz. We elaborate design and implementation details of our tool and an application to a real-world program. We believe our work is a good reference for the development of similar tools.

关键词： program dynamic analysis

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