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Using Requirements Engineering to support Non-Functional Requirements Elicitation for DAQ System

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2021, 26(3), pp.99-109
  • DOI : 10.9708/jksci.2021.26.03.099
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science
  • Received : December 23, 2020
  • Accepted : February 19, 2021
  • Published : March 31, 2021

Kim Kyung sik 1,  Seok-Won Lee 1

1아주대학교

Accredited

ABSTRACT

In recent machine learning studies, in order to consider the quality and completeness of data, derivation of non-functional requirements for data has been proposed from the viewpoint of requirements engineering. In particular, requirements engineers have defined data requirements in machine learning. In this study, data requirements were derived at the data acquisition (DAQ) stage, where data is collected and stored before data preprocessing. Through this, it is possible to express the requirements of all data required in the existing DAQ system, the presence of tasks (functions) satisfying them, and the relationship between the requirements and functions. In addition, it is possible to elicit requirements and to define the relationship, so that a software design document can be produced, and a systematic approach and direction can be established in terms of software design and maintenance. This research using existing DAQ system cases, scenarios and use cases for requirements engineering approach are created, and data requirements for each case are extracted based on them, and the relationship between requirements, functions, and goals is illustrated through goal modeling. Through the research results, it was possible to extract the non-functional requirements of the system, especially the data requirements, from the DAQ system using requirements engineering.

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This paper was written with support from the National Research Foundation of Korea.
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