Choosing an NLP library for analyzing software documentation: A systematic literature review and a series of experiments
To uncover interesting and actionable information from natural language documents authored by software developers, many researchers rely on "out-of-the-box" NLP libraries. However, software artifacts written in natural language are different from other textual documents due to the technica...
Saved in:
Main Authors: | AL OMRAN, Fouad N. A., TREUDE, Christoph |
---|---|
Format: | text |
Language: | English |
Published: |
Institutional Knowledge at Singapore Management University
2017
|
Subjects: | |
Online Access: | https://ink.library.smu.edu.sg/sis_research/8850 https://ink.library.smu.edu.sg/context/sis_research/article/9853/viewcontent/msr17.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Singapore Management University |
Language: | English |
Similar Items
-
Stop words for processing software engineering documents: Do they matter
by: FAN, Yaohou, et al.
Published: (2023) -
Challenges in analyzing software documentation in Portuguese
by: TREUDE, Christoph, et al.
Published: (2015) -
POSIT: Simultaneously tagging natural and programming languages
by: PÂRȚACHI, Profir-Petru, et al.
Published: (2020) -
Beyond accuracy: Assessing software documentation quality
by: TREUDE, Christoph, et al.
Published: (2020) -
Where does Google find API documentation?
by: TREUDE, Christoph, et al.
Published: (2018)