The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Inspect4py: a knowledge extraction framework for python code repositories
Abstract
This work presents inspect4py, a static code analysis framework designed to automatically extract the main features, metadata and documentation of Python code repositories. Given an input folder with code, inspect4py uses abstract syntax trees and state of the art tools to find all functions, classes, tests, documentation, call graphs, module dependencies and control flows within all code files in that repository. Using these findings, inspect4py infers different ways of invoking a software component. We have evaluated our framework on 95 annotated repositories, obtaining promising results for software type classification (over 95% F1-score). With inspect4py, we aim to ease the understandability and adoption of software repositories by other researchers and developers.
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The FAIR Guiding Principles for scientific data management and stewardship
Wilkinson, M. D., Dumontier, M., Aalbersberg, I. J., Appleton, G., Axton, M., Baak, A., Blomberg, N., Boiten, J.-W., da Silva Santos, L. B., Bourne, P. E., et al. (2016) · Scientific Data · doi:10.1038/sdata.2016.18 · Cited by 18,423
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Metadata
- Authors
- Filgueira, R., & Garijo, D.
- Affiliations
- University of St Andrews (GB)
- Universidad Politécnica de Madrid (ES)
- Venue
- Proceedings of the 19th International Conference on Mining Software Repositories
- Publisher
- ACM
- Published
- 2022-05-23
- Pages
- 232-236
- OpenAlex
- W4312613141
- Cited by
- 5
- References
- 1
- Citations by year
- 2024: 2 · 2023: 3
- FWCI
- 1.06
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- International Conference on Mining Software Repositories (MSR) (publishedVersion)
- St Andrews Research Repository (St Andrews Research Repository) (acceptedVersion)
- Topics
- Physical Sciences › Computer Science › Information Systems › Software Engineering Research
- Physical Sciences › Computer Science › Software › Software Testing and Debugging Techniques
- Physical Sciences › Computer Science › Information Systems › Software Engineering Techniques and Practices
- Keywords
- static code analysis, abstract syntax tree, call graph, module dependencies, control flow, software understandability
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