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Automated Test Input Generation via Model Inference Based on User Story and Acceptance Criteria for Mobile Application Development.

, , , and . Int. J. Softw. Eng. Knowl. Eng., 30 (3): 399-425 (2020)

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Automated Test Input Generation via Model Inference Based on User Story and Acceptance Criteria for Mobile Application Development., , , and . Int. J. Softw. Eng. Knowl. Eng., 30 (3): 399-425 (2020)One2Explore - Graph Builder for Exploratory Testing from a Novel Approach., , , and . SoMeT, volume 303 of Frontiers in Artificial Intelligence and Applications, page 637-649. IOS Press, (2018)Generating Test Data for Blackbox Testing from UML-Based Web Engineering Content and Presentation Models., , , , , and . INISCOM, volume 293 of Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, page 207-219. Springer, (2019)Improve the Performance of Mobile Applications Based on Code Optimization Techniques Using PMD and Android Lint., , and . IUKM, volume 9978 of Lecture Notes in Computer Science, page 343-356. (2016)Based on Decision Tree Model to Analyze the Influencing Factors of Customer's Insurance Transactions., , , and . J. Inf. Sci. Eng., 39 (4): 797-807 (2023)A Combinatorial Technique for Mobile Applications Software Testing., , , , , and . KSE, page 1-6. IEEE, (2019)Shinobi: A Novel Approach for Context-Driven Testing (CDT) Using Heuristics and Machine Learning for Web Applications., , , , and . INISCOM, volume 257 of Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, page 86-102. Springer, (2018)Deployment of Capstone Projects in Software Engineering Education at Duy Tan University as Part of a University-Wide Project-Based Learning Effort., , and . LaTiCE, page 184-191. IEEE Computer Society, (2013)