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Static Analysis of Data Science Software
- Source :
- Static Analysis ISBN: 9783030323035, SAS, SAS 2019-26th Static Analysis Symposium, SAS 2019-26th Static Analysis Symposium, Oct 2019, Porto, Portugal. pp.17-23, ⟨10.1007/978-3-030-32304-2_2⟩
- Publication Year :
- 2019
- Publisher :
- Springer International Publishing, 2019.
-
Abstract
- International audience; Data science software is playing an increasingly important role in every aspect of our daily lives and is even slowly creeping into mission critical scenarios, despite being often opaque and unpredictable. In this paper, we will discuss some key challenges and a number of research questions that we are currently addressing in developing static analysis methods and tools for data science software.
- Subjects :
- [INFO.INFO-PL]Computer Science [cs]/Programming Languages [cs.PL]
Computer science
business.industry
Mission critical
[INFO.INFO-LO]Computer Science [cs]/Logic in Computer Science [cs.LO]
020207 software engineering
02 engineering and technology
[INFO.INFO-NE]Computer Science [cs]/Neural and Evolutionary Computing [cs.NE]
Static analysis
Data science
[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]
Software
[INFO.INFO-CY]Computer Science [cs]/Computers and Society [cs.CY]
0202 electrical engineering, electronic engineering, information engineering
Key (cryptography)
020201 artificial intelligence & image processing
Research questions
business
Subjects
Details
- ISBN :
- 978-3-030-32303-5
- ISBNs :
- 9783030323035
- Database :
- OpenAIRE
- Journal :
- Static Analysis ISBN: 9783030323035, SAS, SAS 2019-26th Static Analysis Symposium, SAS 2019-26th Static Analysis Symposium, Oct 2019, Porto, Portugal. pp.17-23, ⟨10.1007/978-3-030-32304-2_2⟩
- Accession number :
- edsair.doi.dedup.....dcb248a01924cb329bebee48a8721202