• DocumentCode
    2992269
  • Title

    Generating linkage between source code and evolvable domain knowledge for the ease of software evolution

  • Author

    Li, Yang ; Yang, Hongji ; Chu, William

  • Author_Institution
    Dept. of Comput. Sci., De Montfort Univ., UK
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    196
  • Lastpage
    205
  • Abstract
    Business software systems without exception need to be evolved to cater for new/changed market requirements, or to adapt to a new operating environment. One of the most significant problems in current software evolution practice is that software maintainers usually find it quite difficult to locate the program sections in the source code which need to be modified and to identify the extent to which the changes in these program sections could affect the rest of the software system. In this paper, we propose a knowledge engineering-based approach to solving this problem. In particular, we match a software program with a pre-defined domain knowledge base in the representation of a simplified semantic network that we have proposed in order to link the source program with its domain-level interpretation. The domain knowledge base contains only important domain knowledge where potential evolutions could occur; this reduces the size of the knowledge base. Moreover, a domain-oriented program partitioning method is also proposed in order to partition a program into self-contained modules of manageable size. In these ways, the computational complexity involved in generating the linkage is significantly reduced, which makes this approach usable. An example shows that software evolution can be carried out easily as the domain knowledge that it links with evolves
  • Keywords
    business data processing; computational complexity; computer aided software engineering; knowledge based systems; program slicing; semantic networks; software maintenance; business software systems; computational complexity; domain-level interpretation; domain-oriented program partitioning method; evolvable domain knowledge; knowledge engineering; market requirements; operating environment; pre-defined domain knowledge base; program section modification; self-contained modules; semantic network; software evolution; software maintenance; source code; Algorithm design and analysis; Companies; Computer science; Couplings; Design engineering; Documentation; Humans; Knowledge engineering; Software maintenance; Software systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Principles of Software Evolution, 2000. Proceedings. International Symposium on
  • Conference_Location
    Kanazawa
  • Print_ISBN
    0-7695-0906-1
  • Type

    conf

  • DOI
    10.1109/ISPSE.2000.913239
  • Filename
    913239