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Theoretical and empirical studies on essence-based adaptive software engineering

Author

Listed:
  • June Sung Park

    (Korea Advanced Institute of Science and Technology
    Korea Advanced Institute of Science and Technology)

  • Jinyoung Jang

    (uEngine Solutions)

  • Eunjung Lee

    (2e Consulting)

Abstract

The OMG Essence standard was published as the kernel for software engineering methods in 2014. We show that the Essence view of software engineering is reminiscent of a nondeterministic, multidimensional finite state machine, and that the Essence lends support to a semi-Markov decision process model of software engineering which, in practice, facilitates a goal-driven adaptive software engineering. We develop an activity-state mapping algorithm and a goal-activity cover algorithm based on the Essence, which can help automate the health monitoring of project states and the adaptive planning of project activities in a software engineering project. Practical applications of the model and algorithms are illustrated. Benefits to software practitioners of the proposed approach are measured through statistical experiments.

Suggested Citation

  • June Sung Park & Jinyoung Jang & Eunjung Lee, 0. "Theoretical and empirical studies on essence-based adaptive software engineering," Information Technology and Management, Springer, vol. 0, pages 1-13.
    • Handle: RePEc:spr:infotm:v::y::i::d:10.1007_s10799-016-0273-5
    DOI: 10.1007/s10799-016-0273-5
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    References listed on IDEAS

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    1. V. Chvatal, 1979. "A Greedy Heuristic for the Set-Covering Problem," Mathematics of Operations Research, INFORMS, vol. 4(3), pages 233-235, August.
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