Handling change management using temporal active repositories

  • Avigdor Gal
  • Opher Etzion
Temporal Data Modeling
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1021)


Business Re-engineering requires frequent changes in the enterprises' information systems, however the current technology of data dictionaries is not effective for the tracing of required changes and their management. In this paper we introduce an architecture of change management using active temporal repositories. Flexible change management allows the support of information about past or future versions of information systems, as well as the capability to retrieve and update temporal information. The implementation of change management in a temporal environment is carried out by the partition of the temporal universe among temporal agents, each of them handles a single version of an application with a required collaboration among them. The change management process, and the inter and intra agent processing are described in this paper.


change management information agents cooperative databases temporal databases active databases 


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    F. Allen, M. Loomis, M. Mannino-The integrated Dictionary/Directory System. ACM Computing Surveys, 14(2), June 1982, pp 245–286.Google Scholar
  2. 2.
    U. Dayal, M. Hsu, R. Ladin-A Transactional Model for Long-Running Activities. Proc VLDB 1991, pp 113–122Google Scholar
  3. 3.
    S. Chakravarthy S.-HiPAC: A research Project in Active, Time-Constrained Database Management, Final Technical Report, XAIT-89-02, July 1989.Google Scholar
  4. 4.
    O. Etzion, A. Gal, A. Segev-Temporal Active Databases, Proceedings of the International Workshop on an Infrastructure for Temporal Database, June 1993.Google Scholar
  5. 5.
    O. Etzion-PARDES-A Data-Driven Oriented Active Database Model, SIGMOD RECORD, 22(1), pp. 7–14, Mar 1993.Google Scholar
  6. 6.
    O. Etzion-Flexible Consistency Modes for Active Database Applications. Information Systems, 18(6), 1993, pp 391–404.Google Scholar
  7. 7.
    O. Etzion-The reflective Approach for Data-Driven Rules. International Journal of Intelligent and cooperative Information Systems, 2(4), pp. 399–424, Dec 1993.Google Scholar
  8. 8.
    S.K. Gadia-The Role of Temporal Elements in Temporal Databases, Data Engineering Bulletin, 7, pp. 197–203, 1988.Google Scholar
  9. 9.
    A. Gal, E. Etzion, A. Segev-Representation of Highly-Complex Knowledge in a Database, Journal of Intelligent Information Systems, 3(2), pp 185–203, Mar. 1994.Google Scholar
  10. 10.
    S. Hudson, R. King-CACTIS: A Database System for Specification Functionally Defined Data, proc. IEEE OOBDS Workshop, 1986.Google Scholar
  11. 11.
    S.E. Madnick-Integration Technology: The reinvention of the Linkage Between Information Systems and Computer Science. To appear in Decision Support Systems Google Scholar
  12. 12.
    J. Mylopoulos, E. Yu-Aligning Information System Strategy with Business Strategy: A Technical Perspective, A keynote address in the International Workshop on Next Generation Technologies and Systems, Haifa, Israel, June 1993.Google Scholar
  13. 13.
    N. Pissinou, et al-Towards an Infrastructure for Temporal Databases, Sigrnod Record, 23(1), pp 35–51, Mar 1994.Google Scholar
  14. 14.
    R. Snodgrass, I. Ahn-Temporal Databases, IEEE Computer 19, pp. 35–42, Sep 1986.Google Scholar
  15. 15.
    A.U. Tansel, Clifford J., Gadia S., Jajodia S., Segev A., Snodgrass R.-Temporal Databases, The Benjamin/Commings Publishing Company, Inc., Redwood City, CA., 1993.Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 1995

Authors and Affiliations

  • Avigdor Gal
    • 1
  • Opher Etzion
    • 1
  1. 1.Information Systems Engineering Department Faculty of Industrial Engineering and ManagementTechnion - Israel Institute of TechnologyHaifaIsrael

Personalised recommendations