An approach to business process recovery from source code

Luiz A. Pacini, Antonio F. do Prado, Wanderley Lopes de Souza, Luis Ferreira Pires

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

    2 Citations (Scopus)

    Abstract

    Over time Business Process has become an asset for organization since it allows managing what happens within their environments. It is possible to automate some activities of the business process using information systems and accordingly decrease the execution time and increase the production. How- ever, information systems often suffer maintenance over time and become obsolete and a re-engineering process is necessary. In this case, the business knowledge, located more accurately the reality in source code, should be maintained. Thereof, this paper propose an approach to support the business process recovery from source code. For this purpose, the approach uses KDM standard with a set of heuristic rules to identify relevant code elements to the business layer. As result, the models are generated according to the BPMN specification that, together with other artifacts, provide more subsidies to the professionals involved. To evaluate the effectiveness of the approach, a case study was performed in an Academic Management System.
    Original languageUndefined
    Title of host publication12th International Conference on Information Technology: New Generations, ITNG 2015
    EditorsS. Latifi
    Place of PublicationUSA
    PublisherIEEE Computer Society
    Pages361-366
    Number of pages6
    ISBN (Print)978-1-4799-8828-0
    DOIs
    Publication statusPublished - 2015

    Publication series

    Name
    PublisherIEEE Computer Society

    Keywords

    • SCS-Services
    • METIS-312643
    • IR-96320
    • EWI-26089

    Cite this

    Pacini, L. A., do Prado, A. F., Lopes de Souza, W., & Ferreira Pires, L. (2015). An approach to business process recovery from source code. In S. Latifi (Ed.), 12th International Conference on Information Technology: New Generations, ITNG 2015 (pp. 361-366). USA: IEEE Computer Society. https://doi.org/10.1109/ITNG.2015.64