"Industrial adoption of machine learning techniques for early ..."

Muhammad Laiq et al. (2024)

> Home

Details and statistics

DOI: 10.1007/S10664-024-10502-3

access: closed

type: Journal Article

metadata version: 2024-08-22

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - journals/ese/LaiqABE24
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/ese/LaiqABE24
Muhammad Laiq, Nauman Bin Ali, Jürgen Börstler, Emelie Engström:
Industrial adoption of machine learning techniques for early identification of invalid bug reports. Empir. Softw. Eng. 29(5): 130 (2024)

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.