How does machine learning change software development practices?
Adding an ability for a system to learn inherently adds uncertainty into the system. Given the rising popularity of incorporating machine learning into systems, we wondered how the addition alters software development practices. We performed a mixture of qualitative and quantitative studies with 14...
Saved in:
Main Authors: | WAN, Zhiyuan, XIA, Xin, LO, David, MURPHY, Gail C. |
---|---|
Format: | text |
Language: | English |
Published: |
Institutional Knowledge at Singapore Management University
2019
|
Subjects: | |
Online Access: | https://ink.library.smu.edu.sg/sis_research/4498 https://ink.library.smu.edu.sg/context/sis_research/article/5501/viewcontent/tse195.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Singapore Management University |
Language: | English |
Similar Items
-
Sequence-to-sequence learning for automated software artifact generation
by: LIU, Zhongxin, et al.
Published: (2021) -
Perceptions, expectations, and challenges in defect prediction
by: WAN, Zhiyuan, et al.
Published: (2020) -
Smart contract security: A practitioners' perspective
by: WAN, Zhiyuan, et al.
Published: (2021) -
Generative AI in software engineering must be human-centered: The Copenhagen Manifesto
by: Russo, D., et al.
Published: (2024) -
Practitioners' expectations on automated fault localization
by: KOCHHAR, Pavneet Singh, et al.
Published: (2016)