Code comment quality analysis and improvement recommendation: An automated approach
Program comprehension is one of the first and mostfrequently performed activities during software maintenance and evolution. In aprogram, there are not only source code, but also comments. Comments in aprogram is one of the main sources of information for program comprehension. Ifa program has good...
Saved in:
Main Authors: | SUN, Xiaobing, GENG, Qiang, David LO, DUAN, Yucong, LIU, Xiangyue, LI Bin |
---|---|
Format: | text |
Language: | English |
Published: |
Institutional Knowledge at Singapore Management University
2016
|
Subjects: | |
Online Access: | https://ink.library.smu.edu.sg/sis_research/3604 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Singapore Management University |
Language: | English |
Similar Items
-
Deep code comment generation
by: HU, Xing, et al.
Published: (2018) -
DeepCommenter: A deep code comment generation tool with hybrid lexical and syntactical information
by: LI, Boao, et al.
Published: (2020) -
Automating the removal of obsolete TODO comments
by: GAO, Zhipeng, et al.
Published: (2021) -
Deep code comment generation with hybrid lexical and syntactical information
by: HU, Xing, et al.
Published: (2019) -
Why my code summarization model does not Work: Code comment improvement with category prediction
by: CHEN, Qiuyuan, et al.
Published: (2021)