• DocumentCode
    3198147
  • Title

    Mining specifications in diversified formats from execution traces

  • Author

    Lo, David

  • Author_Institution
    Dept. of Comput. Sci., Nat. Univ. of Singapore, Singapore
  • fYear
    2008
  • fDate
    Sept. 28 2008-Oct. 4 2008
  • Firstpage
    420
  • Lastpage
    423
  • Abstract
    Software evolves; this phenomenon causes increase in maintenance efforts, problem in comprehending the ever-changing code base and difficulty in verifying software correctness. As software changes, often the documented specification is not updated. Outdated specification adds challenge to the understanding of the code base during maintenance tasks. Also, software changes might induce bugs, anomalies and even security threats. To address the above issues, we propose an array of specification mining techniques to mine software specifications in diversified formats from program execution traces. Case studies on various systems show that the extracted specifications shed light on the behaviors of systems under analysis. Also, mined specifications can be input to existing model checkers, other formal analysis toolkits, or runtime monitors to discover bugs and anomalies.
  • Keywords
    software maintenance; diversified formats; mining specification; program execution traces; software evolution; Computer bugs; Computer science; Filtering; Learning automata; Robustness; Runtime; Scalability; Security; Software maintenance; Software tools;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Software Maintenance, 2008. ICSM 2008. IEEE International Conference on
  • Conference_Location
    Beijing
  • ISSN
    1063-6773
  • Print_ISBN
    978-1-4244-2613-3
  • Electronic_ISBN
    1063-6773
  • Type

    conf

  • DOI
    10.1109/ICSM.2008.4658094
  • Filename
    4658094