• DocumentCode
    3357777
  • Title

    ASLA: reverse engineering approach for software license information retrieval

  • Author

    Tuunanen, Timo ; Koskinen, Jussi ; Karkkainen, Tommi

  • Author_Institution
    Dept. of Math. Inf. Technol., Jyvaskyla Univ.
  • fYear
    2006
  • fDate
    22-24 March 2006
  • Lastpage
    294
  • Abstract
    Software maintenance and reuse require identification of the applied software licenses. The information needs of maintainers and reusers can be supported by reverse engineering tools at different information retrieval levels. The paper presents a reverse engineering approach called ASLA for retrieving license information typically used in OSS. User needs, system architecture, tool features, and tool evaluation are presented. The implemented tool features include support for identifying source file dependencies and licenses in source files. The tool is evaluated against another tool for license information extraction. ASLA supports the same programming languages as GCC. License identification coverage is good and the tool is extendable
  • Keywords
    information retrieval; public domain software; reverse engineering; software architecture; software maintenance; software reusability; software tools; automated software license analyzer; component-based software reuse; open source software; reverse engineering; software license information retrieval; software maintenance; software reusability; software tool evaluation; software tool features; system architecture; Cascading style sheets; Computer architecture; Data mining; Information analysis; Information retrieval; Information technology; Licenses; Open source software; Reverse engineering; Software maintenance; component-based software reuse.; open source software; reverse engineering; software licenses;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Software Maintenance and Reengineering, 2006. CSMR 2006. Proceedings of the 10th European Conference on
  • Conference_Location
    Bari
  • ISSN
    1534-5351
  • Print_ISBN
    0-7695-2536-9
  • Type

    conf

  • DOI
    10.1109/CSMR.2006.10
  • Filename
    1602380