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ORCIDRan Mo
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- Moran Liu (aka: Mo-Ran Liu)
- Mo-Ran Qiu
- Mo Ran Yi
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2020 – today
- 2025
[j19]Zengyang Li, Xiaoyong Zhang, Wenshuo Wang, Peng Liang, Ran Mo
, Jie Tan, Hui Liu:
Automated detection of inter-language design smells in multi-language deep learning frameworks. Inf. Softw. Technol. 179: 107656 (2025)- 2024
- [j18]Ran Mo, Shihong Hu:
Retraction notice to "Reliability and validity of the Chinese version of the mobile Agnew Relationship Measure (mARM-C)" [Int. J. Med. Inf. 189 (2024) 105482]. Int. J. Medical Informatics 189: 105569 (2024) - [j17]Zengyang Li, Jiabao Ji, Peng Liang, Ran Mo, Hui Liu:
An exploratory study on just-in-time multi-programming-language bug prediction. Inf. Softw. Technol. 175: 107524 (2024) - [j16]Zengyang Li, Guangzong Cai, Qinyi Yu, Peng Liang, Ran Mo, Hui Liu:
Bug priority change: An empirical study on Apache projects. J. Syst. Softw. 212: 112019 (2024) - [c28]Yushuo Wang, Ran Mo, Yao Zhang:
Machine Learning-based Models for Predicting Defective Packages. ICMLSC 2024: 25-31 - [i8]Zengyang Li, Guangzong Cai, Qinyi Yu, Peng Liang, Ran Mo, Hui Liu:
Bug Priority Change: An Empirical Study on Apache Projects. CoRR abs/2403.05059 (2024) - [i7]Zengyang Li, Jiabao Ji, Peng Liang, Ran Mo, Hui Liu:
An Exploratory Study on Just-in-Time Multi-Programming-Language Bug Prediction. CoRR abs/2407.10906 (2024) - [i6]Zengyang Li, Xiaoyong Zhang, Wenshuo Wang, Peng Liang, Ran Mo, Jie Tan, Hui Liu:
Automated Detection of Inter-Language Design Smells in Multi-Language Deep Learning Frameworks. CoRR abs/2412.11869 (2024) - 2023
- [j15]Qiong Feng, Ran Mo:
Fine-grained analysis of dependency cycles among classes. J. Softw. Evol. Process. 35(1) (2023) - [j14]Ran Mo, Yao Zhang, Yushuo Wang, Siyuan Zhang, Pu Xiong, Zengyang Li, Yang Zhao:
Exploring the Impact of Code Clones on Deep Learning Software. ACM Trans. Softw. Eng. Methodol. 32(6): 153:1-153:34 (2023) - [c27]Zengyang Li, Wenshuo Wang, Sicheng Wang, Peng Liang, Ran Mo:
Understanding Resolution of Multi-Language Bugs: An Empirical Study on Apache Projects. ESEM 2023: 1-11 - [c26]Zengyang Li, Sicheng Wang, Wenshuo Wang, Peng Liang, Ran Mo, Bing Li:
Understanding Bugs in Multi-Language Deep Learning Frameworks. ICPC 2023: 328-338 - [c25]Ran Mo, Yingjie Jiang, Wenjing Zhan, Dongyu Wang, Zengyang Li:
A Comprehensive Study on Code Clones in Automated Driving Software. ASE 2023: 1073-1085 - [c24]Ran Mo, Yushuo Wang, Yao Zhang, Zengyang Li:
Just-in-Time Defect Severity Prediction (S). SEKE 2023: 232-237 - [i5]Zengyang Li, Sicheng Wang, Wenshuo Wang, Peng Liang, Ran Mo, Bing Li:
Understanding Bugs in Multi-Language Deep Learning Frameworks. CoRR abs/2303.02695 (2023) - [i4]Zengyang Li, Wenshuo Wang, Sicheng Wang, Peng Liang, Ran Mo:
Understanding Resolution of Multi-Language Bugs: An Empirical Study on Apache Projects. CoRR abs/2307.01970 (2023) - [i3]Zengyang Li, Xiaoxiao Qi, Qinyi Yu, Peng Liang, Ran Mo, Chen Yang:
Exploring Multi-Programming-Language Commits and Their Impacts on Software Quality: An Empirical Study on Apache Projects. CoRR abs/2311.08424 (2023) - 2022
- [j13]Ran Mo, Shaozhi Wei, Qiong Feng, Zengyang Li:
An exploratory study of bug prediction at the method level. Inf. Softw. Technol. 144: 106794 (2022) - [j12]Wuyan Cheng, Po Hu, Shaozhi Wei, Ran Mo:
Keyword-guided abstractive code summarization via incorporating structural and contextual information. Inf. Softw. Technol. 150: 106987 (2022) - [j11]Zengyang Li, Xiaoxiao Qi, Qinyi Yu, Peng Liang, Ran Mo, Chen Yang:
Exploring multi-programming-language commits and their impacts on software quality: An empirical study on Apache projects. J. Syst. Softw. 194: 111508 (2022) - [j10]Lu Xiao, Yuanfang Cai, Rick Kazman, Ran Mo, Qiong Feng:
Detecting the Locations and Predicting the Maintenance Costs of Compound Architectural Debts. IEEE Trans. Software Eng. 48(9): 3686-3715 (2022) - [c23]Yang Zhao, Ran Mo, Yao Zhang, Siyuan Zhang, Pu Xiong:
Exploring and understanding cross-service code clones in microservice projects. ICPC 2022: 449-459 - [c22]Zengyang Li, Jieling Xu, Guangzong Cai, Peng Liang, Ran Mo:
A Preliminary Study on the Explicitness of Bug Associations. SEKE 2022: 212-215 - [i2]Zengyang Li, Yilin Peng, Peng Liang, Apostolos Ampatzoglou, Ran Mo, Hui Liu, Xiaoxiao Qi:
Technical Debt Management in OSS Projects: An Empirical Study on GitHub. CoRR abs/2212.05537 (2022) - 2021
- [j9]Wuxia Jin, Ting Liu, Yuanfang Cai, Rick Kazman, Ran Mo, Qinghua Zheng:
Service Candidate Identification from Monolithic Systems Based on Execution Traces. IEEE Trans. Software Eng. 47(5): 987-1007 (2021) - [j8]Ran Mo, Yuanfang Cai, Rick Kazman, Lu Xiao, Qiong Feng:
Architecture Anti-Patterns: Automatically Detectable Violations of Design Principles. IEEE Trans. Software Eng. 47(5): 1008-1028 (2021) - [c21]Ran Mo, Yang Zhao, Qiong Feng, Zengyang Li:
The Existence and Co-Modifications of Code Clones within or across Microservices. ESEM 2021: 22:1-22:11 - [c20]Zengyang Li, Xiaoxiao Qi, Qinyi Yu, Peng Liang, Ran Mo, Chen Yang:
Multi-Programming-Language Commits in OSS: An Empirical Study on Apache Projects. ICPC 2021: 219-229 - [c19]Ting Hu, Ran Mo, Pu Xiong, Zengyang Li, Qiong Feng:
Formal Definition and Automatic Generation of Semantic Metrics: An Empirical Study on Bug Prediction. SCAM 2021: 92-102 - [c18]Shaozhi Wei, Ran Mo, Pu Xiong, Siyuan Zhang, Yang Zhao, Zengyang Li:
Predicting and Monitoring Bug-Proneness at the Feature Level. SETTA 2021: 201-218 - [i1]Zengyang Li, Xiaoxiao Qi, Qinyi Yu, Peng Liang, Ran Mo, Chen Yang:
Multi-Programming-Language Commits in OSS: An Empirical Study on Apache Projects. CoRR abs/2103.11691 (2021) - 2020
- [j7]Zengyang Li, Peng Liang, Dengwei Li, Ran Mo, Bing Li:
Is Bug Severity in Line with Bug Fixing Change Complexity? Int. J. Softw. Eng. Knowl. Eng. 30(11&12): 1779-1800 (2020) - [j6]Ran Mo, Zhen Yin:
Exploring software bug-proneness based on evolutionary clique modeling and analysis. Inf. Softw. Technol. 128: 106380 (2020) - [j5]Shuo Li, Tiancheng Guo, Ran Mo, Xiaoshuai Zhao, Feng Zhou, Weirong Liu, Jun Peng:
A Rescue-Assistance Navigation Method by Using the Underground Location of WSN after Disasters. Sensors 20(8): 2173 (2020) - [j4]Qing Ye, Ran Mo, Hui Li:
Impedance Modeling and DC Bus Voltage Stability Assessment of a Solid-State-Transformer-Enabled Hybrid AC-DC Grid Considering Bidirectional Power Flow. IEEE Trans. Ind. Electron. 67(8): 6531-6540 (2020) - [c17]Zengyang Li, Qinyi Yu, Peng Liang, Ran Mo, Chen Yang:
Interest of Defect Technical Debt: An Exploratory Study on Apache Projects. ICSME 2020: 629-639 - [c16]Ran Mo, Shaozhi Wei, Ting Hu:
Detecting and Modeling Method-level Hotspots in Architecture Design Flaws. SEKE 2020: 111-116 - [c15]Zengyang Li, Dengwei Li, Peng Liang, Ran Mo:
An Empirical Investigation on the Relationship Between Bug Severity and Bug Fixing Change Complexity. SEKE 2020: 365-370
2010 – 2019
- 2019
- [j3]Yuanfang Cai, Lu Xiao, Rick Kazman, Ran Mo, Qiong Feng:
Design Rule Spaces: A New Model for Representing and Analyzing Software Architecture. IEEE Trans. Software Eng. 45(7): 657-682 (2019) - [c14]Ran Mo, Mengya Zhan:
History Coupling Space: A New Model to Represent Evolutionary Relations. APSEC 2019: 126-133 - [c13]Shuo Li, Tiancheng Guo, Ran Mo, Xiaoshuai Zhao, Feng Zhou, Weirong Liu:
An Escape Guidance Path Developing Method on Sparse Anchors for Underground Disaster Rescue. ISIE 2019: 2214-2219 - [c12]Ran Mo, Jianfeng Liu, Wentao Yu, Fu Jiang, Xin Gu, Xiaoshuai Zhao, Weirong Liu, Jun Peng:
A Differential Privacy-Based Protecting Data Preprocessing Method for Big Data Mining. TrustCom/BigDataSE 2019: 693-699 - 2018
- [j2]Chengxiong Mao, Feng Leng, Junlin Li, Shuoting Zhang, Lidong Zhang, Ran Mo, Dan Wang, Jie Zeng, Xun Chen, Ranran An, Yanjun Zhao:
A 400-V/50-kVA Digital-Physical Hybrid Real-Time Simulation Platform for Power Systems. IEEE Trans. Ind. Electron. 65(5): 3666-3676 (2018) - [j1]Qing Ye, Ran Mo, Hui Li:
Multiple Resonances Mitigation of Paralleled Inverters in a Solid-State Transformer (SST) Enabled AC Microgrid. IEEE Trans. Smart Grid 9(5): 4744-4754 (2018) - [c11]Wensheng Wu, Yuanfang Cai, Rick Kazman, Ran Mo, Zhipeng Liu, Rongbiao Chen, Yingan Ge, Weicai Liu, Junhui Zhang:
Software Architecture Measurement - Experiences from a Multinational Company. ECSA 2018: 303-319 - [c10]Qiong Feng, Yuanfang Cai, Rick Kazman, Ran Mo:
The birth, growth, death and rejuvenation of software maintenance communities. ESEM 2018: 5:1-5:10 - [c9]Will Snipes, Sunil Karlekar, Ran Mo:
A Case Study of the Effects of Architecture Debt on Software Evolution Effort. SEAA 2018: 400-403 - [c8]Ran Mo, Yuanfang Cai, Rick Kazman, Qiong Feng:
Assessing an architecture's ability to support feature evolution. ICPC 2018: 297-307 - [c7]Ran Mo, Will Snipes, Yuanfang Cai, Srini Ramaswamy, Rick Kazman, Martin Naedele:
Experiences applying automated architecture analysis tool suites. ASE 2018: 779-789 - 2016
- [c6]Lu Xiao, Yuanfang Cai, Rick Kazman, Ran Mo, Qiong Feng:
Identifying and quantifying architectural debt. ICSE 2016: 488-498 - [c5]Ran Mo, Yuanfang Cai, Rick Kazman, Lu Xiao, Qiong Feng:
Decoupling level: a new metric for architectural maintenance complexity. ICSE 2016: 499-510 - [c4]Qiong Feng, Rick Kazman, Yuanfang Cai, Ran Mo, Lu Xiao:
Towards an Architecture-Centric Approach to Security Analysis. WICSA 2016: 221-230 - 2015
- [c3]Rick Kazman, Yuanfang Cai, Ran Mo, Qiong Feng, Lu Xiao, Serge Haziyev, Volodymyr Fedak, Andriy Shapochka:
A Case Study in Locating the Architectural Roots of Technical Debt. ICSE (2) 2015: 179-188 - [c2]Ran Mo, Yuanfang Cai, Rick Kazman, Lu Xiao:
Hotspot Patterns: The Formal Definition and Automatic Detection of Architecture Smells. WICSA 2015: 51-60 - 2013
- [c1]Ran Mo, Joshua Garcia, Yuanfang Cai, Nenad Medvidovic:
Mapping architectural decay instances to dependency models. MTD@ICSE 2013: 39-46
Coauthor Index
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