Conference proceeding
ENRE: A Tool Framework for Extensible eNtity Relation Extraction
2019 IEEE/ACM 41st International Conference on Software Engineering: Companion Proceedings (ICSE-Companion), pp 67-70
May 2019
Abstract
Understanding the dependencies among code entities is fundamental to many software analysis tools and techniques. However, with the emergence of new programming languages and paradigms, the increasingly common practice of writing systems in multiple languages, and the increasing popularity of dynamic languages, no existing framework can reliably extract this information. That is, no tools exist to accurately extract dependencies from systems written in multiple and dynamic languages. To address this problem, we have designed and implemented the Extensible eNtity Relation Extraction (ENRE) framework. ENRE supports the extraction of entities and their dependencies from systems written in multiple languages, enables the customization of dependencies of interest to the user, and makes implicit dependencies explicit. To demonstrate feasibility of this framework, we developed two ENRE instances for analyzing Python and Golang programs. Our experiments on 12 Python and Golang projects demonstrated the effectiveness and flexibility of ENRE. By comparing with a commercial static analysis tool, we show that we can extract dependencies from Golang programs which are not supported by existing tools and we can reveal implicit dependencies in Python. (Demo Video: https://youtu.be/BfXp5bb1yqc).
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Details
- Title
- ENRE: A Tool Framework for Extensible eNtity Relation Extraction
- Creators
- Wuxia Jin - Xi'an Jiaotong UniversityYuanfang Cai - University of Hawaii SystemRick Kazman - University of Hawaii SystemQinghua Zheng - Xi'an Jiaotong UniversityDi Cui - Xi'an Jiaotong UniversityTing Liu - Xi'an Jiaotong UniversityIEEE
- Publication Details
- 2019 IEEE/ACM 41st International Conference on Software Engineering: Companion Proceedings (ICSE-Companion), pp 67-70
- Conference
- 2019 IEEE/ACM 41st International Conference on Software Engineering: Companion Proceedings (ICSE-Companion), 41st
- Publisher
- IEEE
- Number of pages
- 1
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Computer Science
- Web of Science ID
- WOS:000503272600021
- Scopus ID
- 2-s2.0-85071873576
- Other Identifier
- 991019167805504721
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- Collaboration types
- Domestic collaboration
- International collaboration
- Web of Science research areas
- Computer Science, Software Engineering