Výsledky vyhledávání - "software testing and debugging"

Test Automation in Open-Source Android Apps: A Large-Scale Empirical Study Autor Lin, Jun-Wei, Salehnamadi, Navid, Malek, Sam

“…Automated testing of mobile apps has received significant attention in recent years from researchers and practitioners alike. In this paper, we report on the…”
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Automated Directed Fairness Testing Autor Udeshi, Sakshi, Arora, Pryanshu, Chattopadhyay, Sudipta

“…Fairness is a critical trait in decision making. As machine-learning models are increasingly being used in sensitive application domains (e.g. education and…”
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QBugs: A Collection of Reproducible Bugs in Quantum Algorithms and a Supporting Infrastructure to Enable Controlled Quantum Software Testing and Debugging Experiments Autor Campos, Jose, Souto, Andre

“… provide experimental subjects and an experimental infrastructure to ease the evaluation of new research…”
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TerzoN: Human-in-the-Loop Software Testing with a Composite Oracle Autor Davis, Matthew C., Wei, Amy, Myers, Brad A., Sunshine, Joshua

“…Software testing is difficult, tedious, and may consume 28%–50% of software engineering labor. Automatic test generators aim to ease this burden but have…”
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Prioritizing Test Inputs for Deep Neural Networks via Mutation Analysis Autor Wang, Zan, You, Hanmo, Chen, Junjie, Zhang, Yingyi, Dong, Xuyuan, Zhang, Wenbin

“…Deep Neural Network (DNN) testing is one of the most widely-used ways to guarantee the quality of DNNs. However, labeling test inputs to check the correctness…”
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On the Unnecessary Complexity of Names in X.509 and Their Impact on Implementations Autor Sun, Yuteng, Debnath, Joyanta, Hong, Wenzheng, Chowdhury, Omar, Chau, Sze Yiu

“…TheX.509 Public Key Infrastructure (PKI) provides a cryptographically verifiable mechanism for authenticating a binding of an entity’s public-key with its…”
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No Bias Left Behind: Fairness Testing for Deep Recommender Systems Targeting General Disadvantaged Groups Autor Wu, Zhuo, Wang, Zan, Luo, Chuan, Du, Xiaoning, Chen, Junjie

“…Recommender systems play an increasingly important role in modern society, powering digital platforms that suggest a wide array of content, from news and music…”
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AudioTest: Prioritizing Audio Test Cases Autor Li, Yinghua, Dang, Xueqi, Ouédraogo, Wendkûuni C., Klein, Jacques, Bissyandé, Tegawendé F.

“…Audio classification systems, powered by deep neural networks (DNNs), are integral to various applications that impact daily lives, like voice-activated…”
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Learning-to-Rank vs Ranking-to-Learn: Strategies for Regression Testing in Continuous Integration Autor Bertolino, Antonia, Guerriero, Antonio, Miranda, Breno, Pietrantuono, Roberto, Russo, Stefano

“… a comprehensive study comparing them against each other using subjects from the Apache Commons project…”
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Abstraction-Aware Inference of Metamorphic Relations Autor Nolasco, Agustín, Molina, Facundo, Degiovanni, Renzo, Gorla, Alessandra, Garbervetsky, Diego, Papadakis, Mike, Uchitel, Sebastian, Aguirre, Nazareno, Frias, Marcelo F.

“…Metamorphic testing is a valuable technique that helps in dealing with the oracle problem. It involves testing software against specifications of its intended…”
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Pushing the Limit of 1-Minimality of Language-Agnostic Program Reduction Autor Xu, Zhenyang, Tian, Yongqiang, Zhang, Mengxiao, Zhao, Gaosen, Jiang, Yu, Sun, Chengnian

“…Program reduction has demonstrated its usefulness in facilitating debugging language implementations in practice, by minimizing bug-triggering programs. There…”
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FAST approaches to scalable similarity-based test case prioritization Autor Miranda, Breno, Cruciani, Emilio, Verdecchia, Roberto, Bertolino, Antonia

“…Many test case prioritization criteria have been proposed for speeding up fault detection. Among them, similarity-based approaches give priority to the test…”
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An empirical study of the effects of test-suite reduction on fault localization Autor Yanbing Yu, Jones, J.A., Harrold, M.J.

“…Fault-localization techniques that utilize information about all test cases in a test suite have been presented. These techniques use various approaches to…”
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Evaluating SZZ Implementations Through a Developer-Informed Oracle Autor Rosa, Giovanni, Pascarella, Luca, Scalabrino, Simone, Tufano, Rosalia, Bavota, Gabriele, Lanza, Michele, Oliveto, Rocco

“…) a golden set linking bug-fixing and bug-inducing commits. In both cases, these manual evaluations are performed by researchers with limited knowledge of the studied subject systems…”
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RoScript: A Visual Script Driven Truly Non-Intrusive Robotic Testing System for Touch Screen Applications Autor Qian, Ju, Shang, Zhengyu, Yan, Shuoyan, Wang, Yan, Chen, Lin

“…Existing intrusive test automation techniques for touch screen applications (e.g., Appium and Sikuli) are difficult to work on many closed or uncommon systems,…”
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Improving Fault Localization by Integrating Value and Predicate Based Causal Inference Techniques Autor Kucuk, Yigit, Henderson, Tim A. D., Podgurski, Andy

“…/failure, and so they are subject to confounding bias that distorts the scores they produce…”
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Automated Energy Optimization of HTTP Requests for Mobile Applications Autor Ding Li, Yingjun Lyu, Jiaping Gui, Halfond, William G. J.

“…Energy is a critical resource for apps that run on mobile devices. Among all operations, making HTTP requests is one of the most energy consuming. Previous…”
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Formal Specification and Testing for Reinforcement Learning Autor Varshosaz, Mahsa, Ghaffari, Mohsen, Johnsen, Einar Broch, Wąsowski, Andrzej

“…The development process for reinforcement learning applications is still exploratory rather than systematic. This exploratory nature reduces reuse of…”
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AI-driven Java Performance Testing: Balancing Result Quality with Testing Time Autor Traini, Luca, Di Menna, Federico, Cortellessa, Vittorio

“… During this phase, performance measurements are subject to severe fluctuations, which may adversely affect quality of performance test results…”
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Operation is the Hardest Teacher: Estimating DNN Accuracy Looking for Mispredictions Autor Guerriero, Antonio, Pietrantuono, Roberto, Russo, Stefano

“…Deep Neural Networks (DNN) are typically tested for accuracy relying on a set of unlabelled real world data (operational dataset), from which a subset is…”
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