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Publication search results
found 56 matches
- 2020
- Yun Lin, Jun Sun, Gordon Fraser, Ziheng Xiu, Ting Liu, Jin Song Dong:
Recovering fitness gradients for interprocedural Boolean flags in search-based testing. ISSTA 2020: 440-451 - Saikat Dutta, August Shi, Rutvik Choudhary, Zhekun Zhang, Aryaman Jain, Sasa Misailovic:
Detecting flaky tests in probabilistic and machine learning applications. ISSTA 2020: 211-224 - Yuqi Chen, Bohan Xuan, Christopher M. Poskitt, Jun Sun, Fan Zhang:
Active fuzzing for testing and securing cyber-physical systems. ISSTA 2020: 14-26 - Xueliang Li, Yuming Yang, Yepang Liu, John P. Gallagher, Kaishun Wu:
Detecting and diagnosing energy issues for mobile applications. ISSTA 2020: 115-127 - Raja Ben Abdessalem, Annibale Panichella, Shiva Nejati, Lionel C. Briand, Thomas Stifter:
Automated repair of feature interaction failures in automated driving systems. ISSTA 2020: 88-100 - Mohannad Alhanahnah, Clay Stevens, Hamid Bagheri:
Scalable analysis of interaction threats in IoT systems. ISSTA 2020: 272-285 - Ezio Bartocci, Niveditha Manjunath, Leonardo Mariani, Cristinel Mateis, Dejan Nickovic, Fabrizio Pastore:
CPSDebug: a tool for explanation of failures in cyber-physical systems. ISSTA 2020: 569-572 - Frank Busse, Martin Nowack, Cristian Cadar:
Running symbolic execution forever. ISSTA 2020: 63-74 - Gang Fan, Chengpeng Wang, Rongxin Wu, Xiao Xiao, Qingkai Shi, Charles Zhang:
Escaping dependency hell: finding build dependency errors with the unified dependency graph. ISSTA 2020: 463-474 - Chunrong Fang, Zixi Liu, Yangyang Shi, Jeff Huang, Qingkai Shi:
Functional code clone detection with syntax and semantics fusion learning. ISSTA 2020: 516-527 - Yang Feng, Qingkai Shi, Xinyu Gao, Jun Wan, Chunrong Fang, Zhenyu Chen:
DeepGini: prioritizing massive tests to enhance the robustness of deep neural networks. ISSTA 2020: 177-188 - Andrea Fioraldi, Daniele Cono D'Elia, Emilio Coppa:
WEIZZ: automatic grey-box fuzzing for structured binary formats. ISSTA 2020: 1-13 - George Fourtounis, Leonidas Triantafyllou, Yannis Smaragdakis:
Identifying Java calls in native code via binary scanning. ISSTA 2020: 388-400 - Asem Ghaleb, Karthik Pattabiraman:
How effective are smart contract analysis tools? evaluating smart contract static analysis tools using bug injection. ISSTA 2020: 415-427 - Ali Ghanbari:
ObjSim: lightweight automatic patch prioritization via object similarity. ISSTA 2020: 541-544 - Patrice Godefroid, Daniel Lehmann, Marina Polishchuk:
Differential regression testing for REST APIs. ISSTA 2020: 312-323 - Rahul Gopinath, Alexander Kampmann, Nikolas Havrikov, Ezekiel O. Soremekun, Andreas Zeller:
Abstracting failure-inducing inputs. ISSTA 2020: 237-248 - Gustavo Grieco, Will Song, Artur Cygan, Josselin Feist, Alex Groce:
Echidna: effective, usable, and fast fuzzing for smart contracts. ISSTA 2020: 557-560 - Chao Guo, Tieke He, Wei Yuan, Yue Guo, Rui Hao:
Crowdsourced requirements generation for automatic testing via knowledge graph. ISSTA 2020: 545-548 - Zichen Guo, Jiawei Liu, Tieke He, Zhuoyang Li, Peitian Zhangzhu:
TauJud: test augmentation of machine learning in judicial documents. ISSTA 2020: 549-552 - Xiao He, Xingwei Wang, Jia Shi, Yi Liu:
Testing high performance numerical simulation programs: experience, lessons learned, and open issues. ISSTA 2020: 502-515 - Dominik Helm, Florian Kübler, Jan Thomas Kölzer, Philipp Haller, Michael Eichberg, Guido Salvaneschi, Mira Mezini:
A programming model for semi-implicit parallelization of static analyses. ISSTA 2020: 428-439 - Carl Hildebrandt, Sebastian G. Elbaum, Nicola Bezzo, Matthew B. Dwyer:
Feasible and stressful trajectory generation for mobile robots. ISSTA 2020: 349-362 - Muhui Jiang, Yajin Zhou, Xiapu Luo, Ruoyu Wang, Yang Liu, Kui Ren:
An empirical study on ARM disassembly tools. ISSTA 2020: 401-414 - Ismet Burak Kadron, Nicolás Rosner, Tevfik Bultan:
Feedback-driven side-channel analysis for networked applications. ISSTA 2020: 260-271 - Wing Lam, August Shi, Reed Oei, Sai Zhang, Michael D. Ernst, Tao Xie:
Dependent-test-aware regression testing techniques. ISSTA 2020: 298-311 - Seokhyun Lee, Sooyoung Cha, Dain Lee, Hakjoo Oh:
Effective white-box testing of deep neural networks with adaptive neuron-selection strategy. ISSTA 2020: 165-176 - Hui Li, Dong Wang, Tianze Huang, Yu Gao, Wensheng Dou, Lijie Xu, Wei Wang, Jun Wei, Hua Zhong:
Detecting cache-related bugs in Spark applications. ISSTA 2020: 363-375 - Muyang Liu, Ke Li, Tao Chen:
DeepSQLi: deep semantic learning for testing SQL injection. ISSTA 2020: 286-297 - Hui Liu, Mingzhu Shen, Jiahao Jin, Yanjie Jiang:
Automated classification of actions in bug reports of mobile apps. ISSTA 2020: 128-140
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