Development of Programming Log Collection System Requirements Using Interface Requirement Analysis Techniques

Huijae Park, Wongyu Lee, Ja Mee Kim

Research output: Contribution to journalArticlepeer-review


As software affects each industry, companies are increasingly trying to recruit talent. Despite the interest and investment of companies, it is difficult to find talents with technical expertise and specialization in a specific field at the same time. As a result, companies have begun to discover talents who can overcome their lack of expertise through talents with high problem-solving skills. Countries worldwide that felt the need to discover competitive talents began to show changes in education for nurturing talents. In particular, the results of the expansion and increase of programming education that cultivate problem-solving ability have begun to be seen. However, programming education is different from existing education, and many learners have difficulties with the introductory process due to the difficult debugging process. In order to analyze the difficulties of introductory learners and support their learning, a system that can collect data from the programming process and analyze behavior types is required. There are several methods for deriving the system requirements, but the interface requirements analysis method was selected in this study. We approached how to process data in the system by deriving the type of data that the system administrator wants to collect. This study laid the foundation for a system that can analyze the programming process of introductory learners by deriving the functional and non-functional requirements required by the data collection system through interface requirements analysis.

Original languageEnglish
Pages (from-to)162-167
Number of pages6
JournalInternational Journal on Informatics Visualization
Issue number1-2
Publication statusPublished - 2022


  • Computer education
  • log collection
  • requirements
  • scratch

ASJC Scopus subject areas

  • Computer Science(all)
  • Information Systems and Management
  • Statistics, Probability and Uncertainty


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