MTKeras: An Automated Metamorphic Testing Platform

التفاصيل البيبلوغرافية
العنوان: MTKeras: An Automated Metamorphic Testing Platform
المؤلفون: Tsong Yueh Chen, Dave Towey, Yang Liu, Zhi Quan Zhou, Yelin Liu
المصدر: International Journal of Software Engineering and Knowledge Engineering. 31:1235-1249
بيانات النشر: World Scientific Pub Co Pte Ltd, 2021.
سنة النشر: 2021
مصطلحات موضوعية: Computer Networks and Communications, business.industry, Computer science, 020207 software engineering, Usability, 02 engineering and technology, Computer Graphics and Computer-Aided Design, Artificial Intelligence, 020204 information systems, 0202 electrical engineering, electronic engineering, information engineering, Metamorphic testing, business, Software engineering, Software
الوصف: This paper presents an automated, domain-independent, metamorphic testing platform called MTKeras. In this paper, we report on an investigation demonstrating the effectiveness and usability of MTKeras through five case studies in the four domains of image classification, sentiment analysis, search engines and database management systems. We also report on the effectiveness of combining metamorphic relation (input) patterns in individual metamorphic relations, enhancing the failure-finding abilities of the individual relations. The results of our experiments support combining patterns, and the use of MTKeras. The research reported in this paper shows the applicability of metamorphic relation patterns, and introduces a practical tool for the research community.
تدمد: 1793-6403
0218-1940
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::3aeaa3616cf326b4747857a9a772a860
https://doi.org/10.1142/s021819402150039x
حقوق: OPEN
رقم الأكسشن: edsair.doi...........3aeaa3616cf326b4747857a9a772a860
قاعدة البيانات: OpenAIRE