Theoretical and empirical studies on essence-based adaptive software engineering

June Sung Park (), Jinyoung Jang and Eunjung Lee
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June Sung Park: Korea Advanced Institute of Science and Technology
Jinyoung Jang: uEngine Solutions
Eunjung Lee: 2e Consulting

Information Technology and Management, 2018, vol. 19, issue 1, No 3, 37-49

Abstract: 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.

Keywords: Essence kernel; Adaptive software engineering; Software engineering method; Stochastic decision process; Set cover problem; Software engineering metrics; Software engineering experiment design (search for similar items in EconPapers)
Date: 2018
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DOI: 10.1007/s10799-016-0273-5

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