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Software Technology Research
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App. Res. of Comp. Printed Article
Vol. 38, 2021 No. 5
1491-1497

Research on multi-granularity impact analysis method for unsafe function call

Guo Yanlei
Mu Yongmin
Zhang Zhihua
Beijing Key Laboratory of Internet Culture & Digital Dissemination Research, Beijing Information Science & Technology University, Beijing 100101, China
DOI: 10.19734/j.issn.1001-3695.2020.05.0144

Abstract

In order to solve the high cost and low efficiency of buffer overflow detection in software development due to the influence of variable changes, this paper proposed a method for analyzing the impact of unsafe function calls based on data topology, this method analyzed the impact of variable changes on unsafe function calls with the granularity of variable and path. Extracted information such as variable definitions, references, variable reference, variable dependency, unsafe function calls information and function calls relationship by statically analyzing source code to build a variable dependency set, analyzed data topology of changed variables, and combined distribution of variables in the stack to obtain the variable impact domain. It established a variable impact analysis model by combining function call relations information to obtain path domain. Finally it obtained the influence of variable changes on unsafe function calls according to the variable impact domain and path impact domain. Experimental results show that this method is more accurate in defining the impact of variable changes on unsafe function calls. This method has high comprehensibility and usability, can effectively improve the accuracy and efficiency of software regression testing.

Foundation Support

北京市自然科学基金资助项目(Z160002)
网络文化与数字传播北京市重点实验室开放课题(5221935409)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2020.05.0144
Publish at: Application Research of Computers Printed Article, Vol. 38, 2021 No. 5
Section: Software Technology Research
Pages: 1491-1497
Serial Number: 1001-3695(2021)05-039-1491-07

Publish History

[2021-05-05] Printed Article

Cite This Article

郭严磊, 牟永敏, 张志华. 面向危险函数调用的多粒度影响分析方法研究 [J]. 计算机应用研究, 2021, 38 (5): 1491-1497. (Guo Yanlei, Mu Yongmin, Zhang Zhihua. Research on multi-granularity impact analysis method for unsafe function call [J]. Application Research of Computers, 2021, 38 (5): 1491-1497. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.

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