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Specification Mining and Reasoning about Programs for Verifying Systems with Infinite Structures

Research Project

Project/Area Number 18K11432
Research Category

Grant-in-Aid for Scientific Research (C)

Allocation TypeMulti-year Fund
Section一般
Review Section Basic Section 61030:Intelligent informatics-related
Research InstitutionNagoya Institute of Technology

Principal Investigator

Seki Hirohisa  名古屋工業大学, 工学(系)研究科(研究院), 教授 (90242908)

Project Period (FY) 2018-04-01 – 2021-03-31
Project Status Completed (Fiscal Year 2020)
Budget Amount *help
¥4,030,000 (Direct Cost: ¥3,100,000、Indirect Cost: ¥930,000)
Fiscal Year 2020: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2019: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2018: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Keywordsプログラム推論 / パターン発見 / 形式概念分析 / 計算論理 / パターンマイニング / ルール発見 / 仕様マイニング / 探索・論理・推論アルゴリズム
Outline of Final Research Achievements

The objective of this research is to develop a methodology for verifying software such as reactive systems. We use some techniques of reasoning about programs for finding system specifications to be verified, and localizing potential bugs in a given program. In particular, we have obtained the following three main results: (1) we have proposed a parallel version of our previous algorithm for mining specification formulas from a sequence database of execution logs. (2) We have also proposed a new algorithm for mining specification formulas, which is more efficient than the previous algorithms in the literature. (3) We have then proposed a new method for mining association rules for finding bug locations in a given buggy program.

Academic Significance and Societal Importance of the Research Achievements

プログラムやシステムの検証に必要な要素として,証明すべき仕様を導出する機能と,システム設計や実装の誤り(バグ)を効率的に発見する機能について,その実現アルゴリズムを提案し,検証システムを構築するための知見を蓄積した. これらの結果は,実応用に向けたソフトウェアの検証システムの実現に寄与する意義がある.

Report

(4 results)
  • 2020 Annual Research Report   Final Research Report ( PDF )
  • 2019 Research-status Report
  • 2018 Research-status Report
  • Research Products

    (11 results)

All 2021 2020 2019 2018

All Journal Article (3 results) (of which Peer Reviewed: 3 results) Presentation (8 results) (of which Int'l Joint Research: 5 results)

  • [Journal Article] Using term similarity measures for classifying short document data2021

    • Author(s)
      Hirohisa Seki, Shuhei Toriyama
    • Journal Title

      International Journal of Computational Intelligence Studies

      Volume: -

    • Related Report
      2020 Annual Research Report
    • Peer Reviewed
  • [Journal Article] A Parallel Algorithm for Mining Non-Redundant Recurrent Rules from a Sequence Database2019

    • Author(s)
      S.-Y. Yoon, H. Seki
    • Journal Title

      Journal of Advanced Computational Intelligence and Intelligent Informatics

      Volume: 23 Pages: 956-961

    • NAID

      130007709894

    • Related Report
      2019 Research-status Report
    • Peer Reviewed
  • [Journal Article] Mining Non-Redundant Recurrent Rules from a Sequence Database2018

    • Author(s)
      SeungYong Yoon, H. Seki
    • Journal Title

      International Journal of Computational Intelligence Studies

      Volume: 7 Pages: 253-269

    • Related Report
      2018 Research-status Report
    • Peer Reviewed
  • [Presentation] 単語拡張によるテキスト分類精度の改善と評価2021

    • Author(s)
      鳥山 修平, 世木 博久,
    • Organizer
      情報処理学会第83回全国大会
    • Related Report
      2020 Annual Research Report
  • [Presentation] A CbO-based Algorithm for Mining Class Relevant Patterns2020

    • Author(s)
      Hirohisa Seki, Taiki Yamada
    • Organizer
      15th Int'l. Conf. on Concept Lattices and Their Applications (CLA 2020)
    • Related Report
      2020 Annual Research Report
    • Int'l Joint Research
  • [Presentation] 単語拡張によるテキスト分類精度の改善と評価2020

    • Author(s)
      鳥山 修平, 世木 博久,
    • Organizer
      第18回情報学ワークショップ(WiNF2020)
    • Related Report
      2020 Annual Research Report
  • [Presentation] A New Algorithm for Mining Recurrent Rules from a Sequence Database2019

    • Author(s)
      H. Seki, S.-Y. Yoon
    • Organizer
      2019 IEEE Int'l. Conf. on Systems, Man and Cybernetics (SMC 2019)
    • Related Report
      2019 Research-status Report
    • Int'l Joint Research
  • [Presentation] On Term Similarity Measures for Short Text Classification2019

    • Author(s)
      H. Seki, S. Toriyama
    • Organizer
      2019 IEEE Int'l. Workshop on Computational Intelligence and Applications (IWCIA2019)
    • Related Report
      2019 Research-status Report
    • Int'l Joint Research
  • [Presentation] テキスト分類のための文書拡張法の評価2019

    • Author(s)
      鳥山 修平 世木 博久
    • Organizer
      情報処理学会第81回全国大会
    • Related Report
      2018 Research-status Report
  • [Presentation] Mining Correlated Association Rules from Multi-Relational Data using Interval Patterns2018

    • Author(s)
      H. Seki , M. Nagao
    • Organizer
      14th Int'l. Conf. on Concept Lattices and Their Applications (CLA 2018)
    • Related Report
      2018 Research-status Report
    • Int'l Joint Research
  • [Presentation] Efficient Mining of Recurrent Rules from a Sequence Database Using Multi-Core Processors2018

    • Author(s)
      S.-Y. Yoon , H. Seki
    • Organizer
      Joint 10th Int’l. Conf. on Soft Computing and Intelligent Systems and 19th Int’l Symp. on Advanced Intelligent Systems (SCIS&ISIS 2016)
    • Related Report
      2018 Research-status Report
    • Int'l Joint Research

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Published: 2018-04-23   Modified: 2022-01-27  

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