Suchergebnisse - Testing and debugging- Test data generators

Large Language Models are Few-shot Testers: Exploring LLM-based General Bug Reproduction von Kang, Sungmin, Yoon, Juyeon, Yoo, Shin

“… Many automated test generation techniques have been developed to aid developers with writing tests …”
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A Secure JTAG Wrapper for SoC Testing and Debugging von Lee, Kuen-Jong, Lu, Zheng-Yao, Yeh, Shih-Chun

“… used in IC testing, debugging, failure analysis, or even online chip control/monitoring …”
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Enlightened debugging von Li, Xiangyu, Zhu, Shaowei, d'Amorim, Marcelo, Orso, Alessandro

“… Given a failing test, Enlighten (1) leverages SFL and dynamic dependence analysis to identify suspicious method invocations and corresponding data values, (2 …”
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Tests and proofs for custom data generators von Dubois, Catherine, Giorgetti, Alain

“… , permutations and maps. In this paper we show testing techniques to check properties of custom data generators for these structures …”
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Using LLM for Mining and Testing Constraints in API Testing von Huynh, Minh-Hieu, Le, Quoc-Tri, Nguyen, Tien N., Nguyen, Vu

“… CCS Concepts* Software and its engineering → Software testing and debugging …”
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On the Evaluation of Large Language Models in Unit Test Generation von Yang, Lin, Yang, Chen, Gao, Shutao, Wang, Weijing, Wang, Bo, Zhu, Qihao, Chu, Xiao, Zhou, Jianyi, Liang, Guangtai, Wang, Qianxiang, Chen, Junjie

“… Unit testing is an essential activity in software development for verifying the correctness of software components …”
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CAT-LM Training Language Models on Aligned Code And Tests von Rao, Nikitha, Jain, Kush, Alon, Uri, Goues, Claire Le, Hellendoorn, Vincent J.

“… Testing is an integral but often neglected part of the software development process …”
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BigFuzz: Efficient Fuzz Testing for Data Analytics Using Framework Abstraction von Zhang, Qian, Wang, Jiyuan, Gulzar, Muhammad Ali, Padhye, Rohan, Kim, Miryung

“… ) systems help address the scalability issue of handling large data. However, automated testing for such data-centric applications is challenging, because data is often incomplete, continuously evolving, and hard to know a priori …”
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SUSHI: a test generator for programs with complex structured inputs von Braione, Pietro, Denaro, Giovanni, Mattavelli, Andrea, Pezzè, Mauro

“… Random and search-based test generators yield realistic test cases based on program APIs, but often miss structural test objectives that depend on non-trivial data structure instances …”
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An Empirical Study of Android Test Generation Tools in Industrial Cases von Wang, Wenyu, Li, Dengfeng, Yang, Wei, Cao, Yurui, Zhang, Zhenwen, Deng, Yuetang, Xie, Tao

“… Numerous test generation tools have been developed to support UI testing on mobile apps, especially for Android apps …”
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Unleashing the Giants: Enabling Advanced Testing for Infrastructure as Code von Sokolowski, Daniel, Spielmann, David, Salvaneschi, Guido

“… ACT automates the tedious aspects of unit testing IaC programs and is extensible through a plugin system for test generators and ora-cles …”
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Understandable Test Generation Through Capture/Replay and LLMs von Deljouyi, Amirhossein

“… Automatic unit test generators, particularly search-based software testing (SBST) tools such as EvoSuite, efficiently generate unit test suites with acceptable coverage …”
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NaturalFuzz: Natural Input Generation for Big Data Analytics von Humayun, Ahmad, Wu, Yaoxuan, Kim, Miryung, Gulzar, Muhammad Ali

“… Big data analytics are expected to ingest real-world data as input. Therefore, when synthetic test data are not easily comprehensible, they are less likely to facilitate the downstream task of fixing errors …”
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MetPurity: A Learning-Based Tool of Pure Method Identification for Automatic Test Generation von Yu, Runze, Zhang, Youzhe, Xuan, Jifeng

“… Pure methods are widely-used in automatic techniques, including test generation, compiler optimization, and program repair …”
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Manifold for Machine Learning Assurance von Byun, Taejoon, Rayadurgam, Sanjai

“… We posit an analogous approach for ML systems using an ML technique that extracts from the high-dimensional training data implicitly describing the required system, a low-dimensional underlying structure-a manifold …”
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Multitest:Physical-Aware Object Insertion for Testing Multi-Sensor Fusion Perception Systems von Gao, Xinyu, Wang, Zhijie, Feng, Yang, Ma, Lei, Chen, Zhenyu, Xu, Baowen

“… , self-driving cars and automated robotic arms. With the continuous advancement in data-driven artificial intelligence (AI …”
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In-Simulation Testing of Deep Learning Vision Models in Autonomous Robotic Manipulators von Humeniuk, Dmytro, Ben Braiek, Houssem, Reid, Thomas, Khomh, Foutse

“… Testing autonomous robotic manipulators is challenging due to the complex software interactions between vision and control components …”
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Testing Framework for Black-box AI Models von Aggarwal, Aniya, Shaikh, Samiulla, Hans, Sandeep, Haldar, Swastik, Ananthanarayanan, Rema, Saha, Diptikalyan

“… In this paper, we present an end-to-end generic framework for testing AI Models which performs automated test generation for different modalities such as text, tabular, and time-series data …”
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DroidMate-2: A Platform for Android Test Generation von Borges, Nataniel P., Hotzkow, Jenny, Zeller, Andreas

“… Automated test input generators are the state of the art for testing and security analysis …”
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Test generation through programming in UDITA von Gligoric, Milos, Gvero, Tihomir, Jagannath, Vilas, Khurshid, Sarfraz, Kuncak, Viktor, Marinov, Darko

“… ), a popular tool for verifying Java programs. We evaluate our technique by generating tests for data structures, refactoring engines, and JPF itself …”
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