Abstract is missing.
- A Multiple Fault Localization Approach Based on Multicriteria Analytical Hierarchy ProcessNoureddine Aribi, Nadjib Lazaar, Yahia Lebbah, Samir Loudni, Mehdi Maamar. 1-8 [doi]
- Generation of Movement Explanations for Testing Gesture Based Co-Operative Learning ApplicationsAyan Banerjee, Imane Lamrani, Prajwal Paudyal, Sandeep K. S. Gupta. 9-16 [doi]
- Network Anomaly Detection Using Two-Dimensional Hidden Markov Model Based Viterbi AlgorithmSulaiman Alhaidari, Mohamed Zohdy. 17-18 [doi]
- Automated Functional Dependency Detection Between Test Cases Using Doc2Vec and ClusteringSahar Tahvili, Leo Hatvani, Michael Felderer, Wasif Afzal, Markus Bohlin. 19-26 [doi]
- Towards Structured Evaluation of Deep Neural Network SupervisorsJens Henriksson, Christian Berger 0001, Markus Borg, Lars Tornberg, Cristofer Englund, Sankar Raman Sathyamoorthy, Stig Ursing. 27-34 [doi]
- Neural Network Based Test Case Generation for Data-Flow Oriented TestingShunhui Ji, Qin Chen, Pengcheng Zhang. 35-36 [doi]
- Chatbot Testing Using AI PlanningJosip Bozic, Oliver A. Tazl, Franz Wotawa. 37-44 [doi]
- User-Assisted Log Analysis for Quality Control of Distributed Fintech ApplicationsIosif Itkin, Anna Gromova, Anton Sitnikov, Dmitry Legchikov, Evgenii Tsymbalov, Rostislav Yavorskiy, Andrey Novikov, Kirill Rudakov. 45-51 [doi]
- ATARI: Autonomous Testing and Real-Time Intelligence - A Framework for Autonomously Testing Modern ApplicationsKesav Viswanadha, Shivkumar Shivaji, Ram Shanmugam, Seounghan Song, Seoyoung Choi, Naresh Kumar. 52-54 [doi]
- Assessing the Robustness of Conversational Agents using ParaphrasesJonathan Guichard, Elayne Ruane, Ross Smith, Dan Bean, Anthony Ventresque. 55-62 [doi]
- Input Prioritization for Testing Neural NetworksTaejoon Byun, Vaibhav Sharma, Abhishek Vijayakumar, Sanjai Rayadurgam, Darren D. Cofer. 63-70 [doi]
- Condition-Guided Adversarial Generative Testing for Deep Learning SystemsPengcheng Zhang, Qiyin Dai, Shunhui Ji. 71-72 [doi]
- Deploying Smart Program Understanding on a Large Code BaseCarlo Ieva, Arnaud Gotlieb, Souhila Kaci, Nadjib Lazaar. 73-80 [doi]
- AI for Testing Today and Tomorrow: Industry PerspectivesTariq M. King, Jason Arbon, Dionny Santiago, David Adamo, Wendy Chin, Ram Shanmugam. 81-88 [doi]
- Behavior Pattern-Driven Test Case Selection for Deep Neural NetworksYanshan Chen, Ziyuan Wang, Dong Wang, Yongming Yao, Zhenyu Chen. 89-90 [doi]
- Statistically Rigorous Testing of Clustering ImplementationsXin Yin, Vincenzo Musco, Iulian Neamtiu, Usman Roshan. 91-98 [doi]
- Using Machine Learning to Classify Test OutcomesMarc Roper. 99-100 [doi]
- Challenges of Testing Machine Learning Based SystemsDusica Marijan, Arnaud Gotlieb, Mohit Kumar Ahuja. 101-102 [doi]
- Test-Driven Anonymization for Artificial IntelligenceCristian Augusto, Jesús Morán, Claudio de la Riva, Javier Tuya. 103-110 [doi]
- An Analytical Framework for Security-Tuning of Artificial Intelligence Applications Under AttackKoosha Sadeghi, Ayan Banerjee, Sandeep K. S. Gupta. 111-118 [doi]
- DeepPath: Path-Driven Testing Criteria for Deep Neural NetworksDong Wang, Ziyuan Wang, Chunrong Fang, Yanshan Chen, Zhenyu Chen 0001. 119-120 [doi]
- Stress Testing of Single-Arm Robots Through Constraint-Based Generation of Continuous TrajectoriesMathieu Collet, Arnaud Gotlieb, Nadjib Lazaar, Morten Mossige. 121-128 [doi]
- Constraint-Based Testing of An Industrial Multi-Robot Navigation SystemClemens Mühlbacher, Gerald Steinbauer, Michael Reip, Stephan Gspandl. 129-137 [doi]
- Dedicated Search Strategies For Finding Critical Counterexamples In Programs With Floating Point ComputationsClaude Michel, Michel Rueher. 138-139 [doi]
- Metamorphic Testing for Quality Assurance of Protein Function Prediction ToolsMorteza Pourreza Shahri, Madhusudan Srinivasan, Gillian Reynolds, Diane Bimczok, Indika Kahanda, Upulee Kanewala. 140-148 [doi]
- Datamorphic Testing: A Method for Testing Intelligent ApplicationsHong Zhu, Dongmei Liu, Ian Bayley, Rachel Harrison, Fabio Cuzzolin. 149-156 [doi]
- Fault Detection Effectiveness of Metamorphic Relations Developed for Testing Supervised ClassifiersPrashanta Saha, Upulee Kanewala. 157-164 [doi]