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Some methods of automatic analysis and controllable transformation of programs

  • Computer-Aided Design and Programming
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Abstract

Principles and methods of the development of program systems are considered, which facilitate the analysis and transformation of the structure of programs. In the implementation of scale projects, it is impossible to have a complete concept of the structure of a program without the use of special systems. These systems contain the means of analysis of the initial program and, as a result of automatic transformation, produce another program displaying prescribed properties. As examples, the problems of fast automatic differentiation and the problems of obfuscation (“darkening,” intricacy) of programs are considered.

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References

  1. Rall, B., Automatic Differentiation: Techniques and Applications, Lecture Notes Comput. Sci., Berlin: Springer-Verlag, vol. 120, 1981.

    Google Scholar 

  2. Kantorovich, L.V., On a Mathematical Symbolics Convenient in the Performance of Machine Computation, Dokl. Akad. Nauk SSSR, 1957, vol. 113, pp. 738–741.

    MATH  MathSciNet  Google Scholar 

  3. Matiyasevich, Yu.V., Real Numbers and Computers, Kibern. Vychisl. Tekh., 1986, no. 2, pp. 104–133.

  4. Voevodin, V.V., Informatsionnaya struktura algoritmov (Information Stucture of Algorithms), Moscow: Mosk. Gos. Univ., 1997.

    Google Scholar 

  5. Voevodin, V.V. and Voevodin, Vl.V., Parallel’nye vychisleniya (Parallel Computations), St. Petersburg: BKHV-Peterburg, 2004.

    Google Scholar 

  6. Iri, M., History of Automatic Differentiation and Rounding Error Estimation, Proc. Automat. Diff. Algorithms: Theory, Implementation and Application, Philadelphia, 1991, pp. 3–16.

  7. Griewank, A., Evaluating Derivatives: Principles and Techniques of Algorithmic Differentiation, Philadelphia: SIAM, 2000.

    MATH  Google Scholar 

  8. Bischof, C. and Buecker, M., Computing Derivatives of Computer Programs, Proc. Modern Methods Algorithm. Quantum Chemistry, Jülich, 2000, pp. 315–327.

  9. Hovland, P., Norris, B., and Smith, B., Making Automatic Differentiation Truly Automatic: Coupling PETSc with ADIC. Preprint of Argonne National Laboratory, Argonne, 2002.

  10. Green, L.L., Applications of Automatic Differentiation at NASA Langley Research Center, Proc. Automat. Diff. Workshop, Shrivenham, 2003, pp. 18–34.

  11. Hascoet, L., Pascual, V., and Dervieux, D., Automatic Differentiation with TAPENADE, New York: Springer-Verlag, 2005.

    Google Scholar 

  12. Alexandrescu, A., Modern C++ Design: Generic Programming and Design Patterns Applied, NewYork: Addison Wesley, 2001.

    Google Scholar 

  13. Collberg, C., Thomborson, C., and Low, D., A Taxonomy of Obfuscating Transformations, Technical report, Department of Computer Science, University of Auckland, 1997.

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Authors and Affiliations

  1. Institute of Computer-Aided Design, Russian Academy of Sciences, Moscow, Russia

    M. A. Potapov & E. A. Shatokhin

Authors
  1. M. A. Potapov
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  2. E. A. Shatokhin
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Original Russian Text © M.A. Potapov, E.A. Shatokhin, 2008, published in Avtomatika i Telemekhanika, 2008, No. 8, pp. 176–186

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Potapov, M.A., Shatokhin, E.A. Some methods of automatic analysis and controllable transformation of programs. Autom Remote Control 69, 1433–1443 (2008). https://doi.org/10.1134/S0005117908080158

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  • DOI: https://doi.org/10.1134/S0005117908080158

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