IMPORTANT LICENSING UPDATE At April 23, 2023, ENRE updated its license model to a duel license model:
- Any open-source usages that use or distribute open source applications under the LGPL can use the LGPL-licensed ENRE;
- Commercial redistributions should contact us to obtain a commertial license first.
🙋♀️ ENRE , developed by the SE team in Xi'an Jiaotong University, 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.
- 📡 Supports multiple programming languages
- 🔗 Robust and flexible
- 🧰 Support possible dependencies in weak typing languages
⌛️ By doing static analysis, ENRE supports the following entities and dependency types.
Language | Maximum Version | #Entity Type | #Dependency Type | Tool link |
---|---|---|---|---|
Java | 14 | 11 | 18 | 🔗 |
C++ | 17 | 13 | 14 | 🔗 |
Python | 3.x | 9 | 10 | 🔗 |
JS/TS | 2022/4.7 | 17 | 12 | 🔗 |
Golang | / | 8 | 10 | 🔗 |
Cite us
-
Wuxia Jin et al., "Evaluating the Impact of Possible Dependencies on Architecture-level Maintainability," in IEEE Transactions on Software Engineering, doi: 10.1109/TSE.2022.3171288.
@ARTICLE{ 9765666, author={Jin, Wuxia and Zhong, Dinghong and Cai, Yuanfang and Kazman, Rick and Liu, Ting}, journal={IEEE Transactions on Software Engineering}, title={Evaluating the Impact of Possible Dependencies on Architecture-level Maintainability}, year={2022}, volume={}, number={}, pages={1-1}, doi={10.1109/TSE.2022.3171288} }
-Wuxia Jin, et al., "Where to Start: Studying Type Annotation Practices in Python," 2021 36th IEEE/ACM International Conference on Automated Software Engineering (ASE), 2021, pp. 529-541, doi: 10.1109/ASE51524.2021.9678947.
```
@INPROCEEDINGS{
9678947,
author={Jin, Wuxia and Zhong, Dinghong and Ding, Zifan and Fan, Ming and Liu, Ting},
booktitle={2021 36th IEEE/ACM International Conference on Automated Software Engineering (ASE)},
title={Where to Start: Studying Type Annotation Practices in Python},
year={2021},
volume={},
number={},
pages={529-541},
doi={10.1109/ASE51524.2021.9678947}
}
```
-
Wuxia Jin et al. “Exploring the Architectural Impact of Possible Dependencies in Python Software.” 2020 35th IEEE/ACM International Conference on Automated Software Engineering (ASE) (2020): 758-770.
@INPROCEEDINGS{ 9286085, author={Jin, Wuxia and Cai, Yuanfang and Kazman, Rick and Zhang, Gang and Zheng, Qinghua and Liu, Ting}, booktitle={2020 35th IEEE/ACM International Conference on Automated Software Engineering (ASE)}, title={Exploring the Architectural Impact of Possible Dependencies in Python Software}, year={2020}, volume={}, number={}, pages={758-770}, doi={} }
-
Wuxia Jin et al., "ENRE: A Tool Framework for Extensible eNtity Relation Extraction," 2019 IEEE/ACM 41st International Conference on Software Engineering: Companion Proceedings (ICSE-Companion), 2019, pp. 67-70, doi: 10.1109/ICSE-Companion.2019.00040.
@INPROCEEDINGS{ 8802634, author={Jin, Wuxia and Cai, Yuanfang and Kazman, Rick and Zheng, Qinghua and Cui, Di and Liu, Ting}, booktitle={2019 IEEE/ACM 41st International Conference on Software Engineering: Companion Proceedings (ICSE-Companion)}, title={ENRE: A Tool Framework for Extensible eNtity Relation Extraction}, year={2019}, volume={}, number={}, pages={67-70}, doi={10.1109/ICSE-Companion.2019.00040} }
-
Wuxia Jin et al., Service Candidate Identification from Monolithic Systems based on Execution Traces. TSE 2019.
@ARTICLE{ 8686152, author={Jin, Wuxia and Liu, Ting and Cai, Yuanfang and Kazman, Rick and Mo, Ran and Zheng, Qinghua}, journal={IEEE Transactions on Software Engineering}, title={Service Candidate Identification from Monolithic Systems Based on Execution Traces}, year={2021}, volume={47}, number={5}, pages={987-1007}, doi={10.1109/TSE.2019.2910531} }