Search Results - "Fang, ChunRong"

A Systematic Literature Review of Android Malware Detection Using Static Analysis by Pan, Ya, Ge, Xiuting, Fang, Chunrong, Fan, Yong

“…Android malware has been in an increasing trend in recent years due to the pervasiveness of Android operating system. Android malware is installed and run on…”
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Improving actionable warning identification via the refined warning-inducing context representation by Ge, Xiuting, Fang, Chunrong, Li, Xuanye, Zhang, Quanjun, Liu, Jia, Zhao, Zhihong, Chen, Zhenyu

“…Conclusion We improve AWI via the refined warning-inducing context representation, which captures both lexical and structural information for AWI from the…”
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Similarity-based test case prioritization using ordered sequences of program entities by Fang, Chunrong, Chen, Zhenyu, Wu, Kun, Zhao, Zhihong

“…Test suites often grow very large over many releases, such that it is impractical to re-execute all test cases within limited resources. Test case…”
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Measuring the Diversity of a Test Set With Distance Entropy by Shi, Qingkai, Chen, Zhenyu, Fang, Chunrong, Feng, Yang, Xu, Baowen

“…Most existing metrics that we call white-box metrics, such as coverage metrics, require white-box information, like program structure information, and…”
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Comparing logic coverage criteria on test case prioritization by Fang, ChunRong, Chen, ZhenYu, Xu, BaoWen

“…Logic coverage criteria have been widely used in the testing of safety-critical software. In the past few years, fault-based logic coverage criteria have been…”
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Multi-objective test report prioritization using image understanding by Yang Feng, Jones, James A., Zhenyu Chen, Chunrong Fang

“…In crowdsourced software testing, inspecting the large number of test reports is an overwhelming but inevitable software maintenance task. In recent years, to…”
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TransformCode: A Contrastive Learning Framework for Code Embedding via Subtree Transformation by Xian, Zixiang, Huang, Rubing, Towey, Dave, Fang, Chunrong, Chen, Zhenyu

“…Artificial intelligence (AI) has revolutionized software engineering (SE) by enhancing software development efficiency. The advent of pre-trained models (PTMs)…”
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An Empirical Study of Class Rebalancing Methods for Actionable Warning Identification by Ge, Xiuting, Fang, Chunrong, Bai, Tongtong, Liu, Jia, Zhao, Zhihong

“…Actionable warning identification (AWI) is crucial for improving the usability of static analysis tools. Currently, machine learning (ML)-based AWI approaches…”
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Leveraging Android Automated Testing to Assist Crowdsourced Testing by Ge, Xiuting, Yu, Shengcheng, Fang, Chunrong, Zhu, Qi, Zhao, Zhihong

“…Crowdsourced testing is an emerging trend in mobile application testing. The openness of crowdsourced testing provides a promising way to conduct large-scale…”
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DeepPath: Path-Driven Testing Criteria for Deep Neural Networks by Wang, Dong, Wang, Ziyuan, Fang, Chunrong, Chen, Yanshan, Chen, Zhenyu

“…Inspired by path-oriented testing, we propose a series of path-driven testing criteria, called DeepPath, to comprehensively calculate coverage in deep neural…”
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Deep learning framework testing via hierarchical and heuristic model generation by Zou, Yinglong, Sun, Haofeng, Fang, Chunrong, Liu, Jiawei, Zhang, Zhenping

“…Deep learning frameworks are the foundation of deep learning model construction and inference. Many testing methods using deep learning models as test inputs…”
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An Online Multistep-Forward Voltage-Prediction Approach Based on an LSTM-TD Model and KF Algorithm by Ni, Ye, Xia, Zhilong, Zhao, Fangtong, Fang, Chunrong, Chen, Zhenyu

“…We propose a multistep-forward voltage-prediction approach combining a long short-term memory time-distributed model and the Kalman filter algorithm to improve…”
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Benchmarking Object Detection Robustness against Real-World Corruptions by Liu, Jiawei, Wang, Zhijie, Ma, Lei, Fang, Chunrong, Bai, Tongtong, Zhang, Xufan, Liu, Jia, Chen, Zhenyu

“…With the rapid recent development, deep learning based object detection techniques have been applied to various real-world software systems, especially in…”
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APPT: Boosting Automated Patch Correctness Prediction via Fine-Tuning Pre-Trained Models by Zhang, Quanjun, Fang, Chunrong, Sun, Weisong, Liu, Yan, He, Tieke, Hao, Xiaodong, Chen, Zhenyu

“…Automated program repair (APR) aims to fix software bugs automatically without human debugging efforts and plays a crucial role in software development and…”
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Mobile App Crowdsourced Test Report Consistency Detection via Deep Image-and-Text Fusion Understanding by Yu, Shengcheng, Fang, Chunrong, Zhang, Quanjun, Cao, Zhihao, Yun, Yexiao, Cao, Zhenfei, Mei, Kai, Chen, Zhenyu

“…Crowdsourced testing, as a distinct testing paradigm, has attracted much attention in software testing, especially in mobile application (app) testing field…”
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An unsupervised feature selection approach for actionable warning identification by Ge, Xiuting, Fang, Chunrong, Liu, Jia, Qing, Mingshuang, Li, Xuanye, Zhao, Zhihong

“…Static Analysis Tools (SATs) are widely applied to detect defects in software projects. However, SATs are overshadowed by a large number of unactionable…”
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Security‐based code smell definition, detection, and impact quantification in Android by Zhong, Yi, Shi, Mengyu, He, Jiawei, Fang, Chunrong, Chen, Zhenyu

“…Android's high market share and extensive functionality make its security a significant concern. Research reveals that many security issues are caused by…”
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Practical, Automated Scenario-Based Mobile App Testing by Yu, Shengcheng, Fang, Chunrong, Du, Mingzhe, Ding, Zimin, Chen, Zhenyu, Su, Zhendong

“…The importance of mobile application (app) quality assurance is increasing with the rapid development of the mobile Internet. Automated test generation…”
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Duo: Differential Fuzzing for Deep Learning Operators by Zhang, Xufan, Liu, Jiawei, Sun, Ning, Fang, Chunrong, Liu, Jia, Wang, Jiang, Chai, Dong, Chen, Zhenyu

“…Deep learning (DL) libraries reduce the barriers to the DL model construction. In DL libraries, various building blocks are DL operators with different…”
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Locality-based security bug report identification via active learning by Ge, Xiuting, Fang, Chunrong, Qian, Meiyuan, Ge, Yu, Qing, Mingshuang

“…Security bug report (SBR) identification is a crucial way to eliminate security-critical vulnerabilities during software development. In recent years, many…”
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