Towards Effectiveness Assessment of Domain Modelling Methods and Tools in SPL Development

Authors

  • Mykola Tkachuk Department of Software Engineering and Management Information Technologies, National Technical University “Kharkiv Polytechnic Institute”; Department of Systems and Technologies Modeling, V.N. Karazin National University, Ukraine
  • Rustam Gamzayev Department of Software Engineering and Management Information Technologies, National Technical University “Kharkiv Polytechnic Institute”, Ukraine
  • Iryna Martinkus Department of Software Engineering and Management Information Technologies, National Technical University “Kharkiv Polytechnic Institute”, Ukraine
  • Volodymyr Sokol Department of Software Engineering and Management Information Technologies, National Technical University “Kharkiv Polytechnic Institute”, Ukraine
  • Oleh Tovstokorenko Department of Software Engineering and Management Information Technologies, National Technical University “Kharkiv Polytechnic Institute”, Ukraine

DOI:

https://doi.org/10.18417/emisa.si.hcm.14

Keywords:

Domain Modelling Methods, Software Product Line, Variability, Structural Complexity, Efficiency Coefficient, Code Reusing, Metric

Abstract

Domain-driven design (DDD) and especially the usage of domain modelling methods (DMM) are modern approaches to improve software quality, and a way to develop software product lines (SPL). To emphasize advantages of DDD and DMM usage, a 3-level design scheme is proposed, which reflects also variability issues in the framework. According to this metaphor the main attention is paid to the phases of logical domain modelling and physical modelling, with usage of two alternative DMM-methods: JODA and ODM approaches. The algorithmic model for an efficiency coefficient estimation of alternative DMM usage is proposed, which utilizes structured data resources, expert methods and metrics used in SPL development processes. A feasibility study for the proposed approach is provided and the obtained experimental results are discussed, which allow to make positive conclusions about this research and to outline its further steps to be done.

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Published

2018-02-27

Issue

Section

Invited Contribution