skip to main content
10.1145/3019612.3019896acmconferencesArticle/Chapter ViewAbstractPublication PagessacConference Proceedingsconference-collections
research-article

Computing super reduced program slices by composing slicing techniques

Authors Info & Claims
Published:03 April 2017Publication History

ABSTRACT

Program slicing is a technique to extract the part of a program (the slice) that influences or is influenced by a set of variables at a given point. Computing minimal slices is undecidable in the general case, and obtaining the minimal slice of a given program is computationally prohibitive even for very small programs. Hence, no matter what program sheer we use, in general, we cannot be sure that our slices are minimal. In this work, we present a method to automatically produce a new notion of slice that we call super reduced slice because it is constructed with the combination of different slicing techniques, including the composition of standard program sheers.

References

  1. D. Binkley and K. B. Gallagher. Program Slicing. Advances in Computers, 43(2):1--50, apr 1996. Google ScholarGoogle ScholarCross RefCross Ref
  2. D. Binkley, N. Gold, M. Harman, S. Islam, J. Krinke, and S. Yoo. ORBS: Language-independent Program Slicing. In Proceedings of the 22nd ACM SIGSOFT International Symposium on Foundations of Software Engineering, FSE 2014, pages 109--120, New York, NY, USA, 2014. ACM. Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. R. A. DeMillo, H. Pan, and E. H. Spafford. Critical slicing for software fault localization. SIGSOFT Softw. Eng. Notes, 21(3):121--134, may 1996. Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. A. Giantsios, N. Papaspyrou, and K. Sagonas. Concolic testing for functional languages. In Proceedings of the 17th International Symposium on Principles and Practice of Declarative Programming (PPDP '15), pages 137--148. ACM, 2015. Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. A. Hajnal and I. Forgács. A demand-driven approach to slicing legacy COBOL systems. Journal of Software Maintenance, 24(1):67--82, 2012. Google ScholarGoogle ScholarCross RefCross Ref
  6. S. Horwitz, T. Reps, and D. Binkley. Interprocedural slicing using dependence graphs. ACM Transactions Programming Languages and Systems, 12(1):26--60, 1990. Google ScholarGoogle ScholarDigital LibraryDigital Library
  7. A. Majumdar, S. J. Drape, and C. D. Thomborson. Slicing obfuscations: Design, correctness, and evaluation. In Proceedings of the 2007 ACM Workshop on Digital Rights Management, DRM '07, pages 70--81, New York, NY, USA, 2007. ACM. Google ScholarGoogle ScholarDigital LibraryDigital Library
  8. C. Ochoa, J. Silva, and G. Vidal. Lightweight program specialization via Dynamic Slicing. In Proceedings of the 2005 ACM SIGPLAN Workshop on Curry and Functional Logic Programming, WCFLP '05, pages 1--7, New York, NY, USA, 2005. ACM. Google ScholarGoogle ScholarDigital LibraryDigital Library
  9. J. Silva. A vocabulary of Program Slicing-based techniques. ACM Computing Surveys, 44(3), 2012. Google ScholarGoogle ScholarDigital LibraryDigital Library
  10. J. Silva, S. Tamarit, and C. Tomás. System Dependence Graphs in sequential Erlang. In Proceedings of the 15th International Conference on Fundamental Approaches to Software Engineering (FASE 2012), volume 7212 of Lecture Notes in Computer Science, pages 486--500. Springer, 2012. Google ScholarGoogle ScholarDigital LibraryDigital Library
  11. J. Silva, S. Tamarit, C. Tomás, and D. Insa. Slicerl, September 2011.Google ScholarGoogle Scholar
  12. F. Tip. A survey of Program Slicing techniques. Journal of Programming Languages, 3(3):121--189, 1995.Google ScholarGoogle Scholar
  13. M. Weiser. Program Slicing. In Proceedings of the 5th international conference on Software engineering (ICSE '81), pages 439--449, Piscataway, NJ, USA, 1981. IEEE Press. Google ScholarGoogle ScholarDigital LibraryDigital Library

Index Terms

  1. Computing super reduced program slices by composing slicing techniques

      Recommendations

      Comments

      Login options

      Check if you have access through your login credentials or your institution to get full access on this article.

      Sign in
      • Published in

        cover image ACM Conferences
        SAC '17: Proceedings of the Symposium on Applied Computing
        April 2017
        2004 pages
        ISBN:9781450344869
        DOI:10.1145/3019612

        Copyright © 2017 ACM

        Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

        Publisher

        Association for Computing Machinery

        New York, NY, United States

        Publication History

        • Published: 3 April 2017

        Permissions

        Request permissions about this article.

        Request Permissions

        Check for updates

        Qualifiers

        • research-article

        Acceptance Rates

        Overall Acceptance Rate1,650of6,669submissions,25%

      PDF Format

      View or Download as a PDF file.

      PDF

      eReader

      View online with eReader.

      eReader