ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2209.07623
  4. Cited By
Studying the explanations for the automated prediction of bug and
  non-bug issues using LIME and SHAP

Studying the explanations for the automated prediction of bug and non-bug issues using LIME and SHAP

15 September 2022
Benjamin Ledel
Steffen Herbold
    FAtt
ArXivPDFHTML

Papers citing "Studying the explanations for the automated prediction of bug and non-bug issues using LIME and SHAP"

2 / 2 papers shown
Title
On the validity of pre-trained transformers for natural language
  processing in the software engineering domain
On the validity of pre-trained transformers for natural language processing in the software engineering domain
Julian von der Mosel
Alexander Trautsch
Steffen Herbold
34
67
0
10 Sep 2021
Looking Deeper into Tabular LIME
Looking Deeper into Tabular LIME
Damien Garreau
U. V. Luxburg
FAtt
LMTD
104
30
0
25 Aug 2020
1