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A Study on the Advanced Random Walk Graph Search Technique to Prevent Tottering Phenomena

  • Journal of Software Assessment and Valuation
  • Abbr : JSAV
  • 2025, 21(3), pp.11~19
  • Publisher : Korea Software Assessment and Valuation Society
  • Research Area : Engineering > Computer Science
  • Received : July 22, 2025
  • Accepted : September 20, 2025
  • Published : September 25, 2025

SeongCheol Yoon 1 Su-Hyun Kim 1 Im-Yeong Lee 1

1순천향대학교

Accredited

ABSTRACT

The graph edit distance algorithm is widely used for structural similarity detection due to its flexibility and minimal information loss, but its computational inefficiency on large, complex graphs—stemming from its NP-Hard nature—has led to the development of various heuristic, including the Random Walk approach, which, despite its advantages, suffers from the Tottering phenomenon that degrades efficiency; although prior methods attempt to address this, they fail to eliminate Tottering entirely, prompting this paper's proposal of a novel Random Walk technique that proactively detects and prevents Tottering before it occurs. This enables more efficient similarity checks when applied to graph structure based source code similarity detection.

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