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LTRWES: A new framework for security bug report detection

  • Published:2020-08 Issue: Volume:124 Page:106314
  • ISSN:0950-5849
  • Container-title:Information and Software Technology
  • language:en
  • Short-container-title:Information and Software Technology

Author:

Jiang Yuan,Lu Pengcheng,Su Xiaohong,Wang Tiantian

Funder

National Natural Science Foundation of China

National Science and Technology Major Project of China

Publisher

Elsevier BV

Subject

Computer Science Applications,Information Systems,Software

Reference46 articles.

1. Identifying security bug reports via text mining: an industrial case study;Gegick,2010

2. Identification of security related bug reports via text mining using supervised and unsupervised classification;Goseva-Popstojanova,2018

3. Text filtering and ranking for security bug report prediction;Peters;IEEE Trans. Softw. Eng.,2017

4. Introduction to Information Retrieval;Manning,2008

5. Towards more accurate retrieval of duplicate bug reports;Sun,2011

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