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inspect4py : a knowledge extraction framework for Python code repositories
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dc.contributor.author | Filgueira, Rosa | |
dc.contributor.author | Garijo, Daniel | |
dc.date.accessioned | 2022-03-24T09:26:07Z | |
dc.date.available | 2022-03-24T09:26:07Z | |
dc.date.issued | 2022-03-04 | |
dc.identifier | 278376823 | |
dc.identifier | 27de83b5-f2cb-4db6-aec7-05597b768267 | |
dc.identifier | 000850208000033 | |
dc.identifier.citation | Filgueira , R & Garijo , D 2022 , inspect4py : a knowledge extraction framework for Python code repositories . in The 2022 Mining Software Repositories Conference . ACM , 2022 Mining Software Repositories Conference (MSR 2022) , Pittsburgh , Pennsylvania , United States , 23/05/22 . | en |
dc.identifier.citation | conference | en |
dc.identifier.uri | https://hdl.handle.net/10023/25075 | |
dc.description.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. | |
dc.format.extent | 556410 | |
dc.language.iso | eng | |
dc.publisher | ACM | |
dc.relation.ispartof | The 2022 Mining Software Repositories Conference | en |
dc.subject | Code mining | en |
dc.subject | Software code | en |
dc.subject | Software classification | en |
dc.subject | Software documentation | en |
dc.subject | Code understanding | en |
dc.subject | QA75 Electronic computers. Computer science | en |
dc.subject | QA76 Computer software | en |
dc.subject | ZA4050 Electronic information resources | en |
dc.subject | NS | en |
dc.subject | NIS | en |
dc.subject | MCP | en |
dc.subject.lcc | QA75 | en |
dc.subject.lcc | QA76 | en |
dc.subject.lcc | ZA4050 | en |
dc.title | inspect4py : a knowledge extraction framework for Python code repositories | en |
dc.type | Conference item | en |
dc.contributor.institution | University of St Andrews. School of Computer Science | en |
dc.identifier.url | https://github.com/SoftwareUnderstanding/inspect4py | en |
dc.identifier.url | https://doi.org/10.5281/zenodo.5907936 | en |
dc.identifier.url | https://conf.researchr.org/details/msr-2022/msr-2022-data-showcase/25/Inspect4py-A-Knowledge-Extraction-Framework-for-Python-Code-Repositories | en |
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