Source

ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA)

Source type: conference

Alternate names: Proceedings of the 31st ACM SIGSOFT International Symposium on Software Testing and Analysis, Proceedings of the 32nd ACM SIGSOFT International Symposium on Software Testing and Analysis, Proceedings of the 33rd ACM SIGSOFT International Symposium on Software Testing and Analysis

Fully OA: No

DOAJ: No

OpenAlex ID: S7407085879

Test input generation with java PathFinder

2004 · Willem Visser, Corina S. Pǎsǎreanu, et al. · ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA) · 501

DeepHunter: a coverage-guided fuzz testing framework for deep neural networks

2019 · Xiaofei Xie, Lei Ma, et al. · ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA) · 425

Evolutionary testing of classes

2004 · Paolo Tonella · ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA) · 408

CoCoNuT: combining context-aware neural translation models using ensemble for program repair

2020 · Thibaud Lutellier, Hung Viet Pham, et al. · ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA) · 344

DeepFL: integrating multiple fault diagnosis dimensions for deep fault localization

2019 · Xia Li, Wei Li, et al. · ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA) · 327

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TBar: revisiting template-based automated program repair

2019 · Kui Liu, Anil Koyuncu, et al. · ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA) · 321

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Shaping program repair space with existing patches and similar code

2018 · Jiajun Jiang, Yingfei Xiong, et al. · ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA) · 319

Prioritizing test cases for regression testing

2000 · Sebastian Elbaum, Alexey G. Malishevsky, et al. · ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA) · 319

Large Language Models Are Zero-Shot Fuzzers: Fuzzing Deep-Learning Libraries via Large Language Models

2023 · Yinlin Deng, Chunqiu Steven Xia, et al. · ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA) · 318

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An empirical study on TensorFlow program bugs

2018 · Yuhao Zhang, Yifan Chen, et al. · ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA) · 304

Korat

2002 · Chandrasekhar Boyapati, Sarfraz Khurshid, et al. · ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA) · 302

Reinforcement learning for automatic test case prioritization and selection in continuous integration

2017 · Helge Spieker, Arnaud Gotlieb, et al. · ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA) · 283

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Testing malware detectors

2004 · Mihai Christodorescu, Somesh Jha · ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA) · 271

Where the bugs are

2004 · Thomas J. Ostrand, Elaine J. Weyuker, et al. · ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA) · 269

FLUCCS: using code and change metrics to improve fault localization

2017 · Jeongju Sohn, Shin Yoo · ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA) · 242

Automatic test data generation using constraint solving techniques

1998 · Arnaud Gotlieb, Bernard Botella, et al. · ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA) · 229

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Automatically testing self-driving cars with search-based procedural content generation

2019 · Alessio Gambi, Marc Mueller, et al. · ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA) · 226

Echidna: effective, usable, and fast fuzzing for smart contracts

2020 · Gustavo Grieco, Will Song, et al. · ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA) · 220

DeepGini: prioritizing massive tests to enhance the robustness of deep neural networks

2020 · Yang Feng, Qingkai Shi, et al. · ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA) · 217

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How effective are smart contract analysis tools? evaluating smart contract static analysis tools using bug injection

2020 · Asem Ghaleb, Karthik Pattabiraman · ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA) · 215

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Finding bugs with a constraint solver

2000 · Daniel Jackson, Mandana Vaziri · ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA) · 211

Automated program flaw finding using simulated annealing

1998 · Nigel Tracey, John Clark, et al. · ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA) · 204

Automated Program Repair via Conversation: Fixing 162 out of 337 Bugs for $0.42 Each using ChatGPT

2024 · Chunqiu Steven Xia, Lingming Zhang · ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA) · 203

AutoCodeRover: Autonomous Program Improvement

2024 · Yuntong Zhang, Haifeng Ruan, et al. · ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA) · 196

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Which pointer analysis should I use?

2000 · Michael Hind, Anthony Pioli · ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA) · 190

Works count: 831

Citation count: 27,130

H-index: 80

I10-index: 498

2yr mean citedness: 9.854