Al-Shaaby et al., 2020 - Google Patents
Bad smell detection using machine learning techniques: a systematic literature reviewAl-Shaaby et al., 2020
- Document ID
- 10895533439789148899
- Author
- Al-Shaaby A
- Aljamaan H
- Alshayeb M
- Publication year
- Publication venue
- Arabian Journal for Science and Engineering
External Links
Snippet
Code smells are indicators of potential problems in software. They tend to have a negative impact on software quality. Several studies use machine learning techniques to detect bad smells. The objective of this study is to systematically review and analyze machine learning …
- 230000035943 smell 0 title abstract description 284
Classifications
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- G06N5/022—Knowledge engineering, knowledge acquisition
- G06N5/025—Extracting rules from data
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- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N99/00—Subject matter not provided for in other groups of this subclass
- G06N99/005—Learning machines, i.e. computer in which a programme is changed according to experience gained by the machine itself during a complete run
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