• DocumentCode
    510014
  • Title

    Inclusion-Based Multi-level Pointer Analysis

  • Author

    Cui, Yingxia ; Li, Longshu ; Yao, Sheng

  • Author_Institution
    Dept. of Comput. Sci. & Technol., Anhui Univ., Hefei, China
  • Volume
    2
  • fYear
    2009
  • fDate
    7-8 Nov. 2009
  • Firstpage
    204
  • Lastpage
    208
  • Abstract
    A novel approach for points-to information analysis is presented, which can deal with not only the single dereferenced pointers, but also the multiple dereferenced pointers, arrays and pointer arithmetic. In order to analyze them, we extend to the language of inclusion constraints, and further give an inference system, which can be formalized as deriving all possible constraints, and there are no indirect constraints any more. Furthermore, an algorithm is presented, which comprises the single dereferenced pointers, multiple dereferenced pointers, arrays, pointer arithmetic analysis. Another advantage is to offload the work to a static analysis completely, which is a breakthrough of inclusion-based pointer analysis. So we are able to use two linear time algorithms to simplify constraint graph before analyzing, which is very crucial in the performance of the algorithm.
  • Keywords
    graph theory; inference mechanisms; program diagnostics; constraint graph; inclusion-based multilevel pointer analysis; inference system; linear time algorithm; pointer arithmetic analysis; points-to-information analysis; static analysis; Aggregates; Algorithm design and analysis; Artificial intelligence; Compaction; Computational intelligence; Computer science; Digital arithmetic; Inference algorithms; Information analysis; Performance analysis; array; inclusion constraints language; inference system; multi-level pointer analysis; pointer arithmetic; static analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Artificial Intelligence and Computational Intelligence, 2009. AICI '09. International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4244-3835-8
  • Electronic_ISBN
    978-0-7695-3816-7
  • Type

    conf

  • DOI
    10.1109/AICI.2009.157
  • Filename
    5375741