Implementation of Automated Test Case Generation in REST API on Android-Based Koperasi Application

Syamsul Mujahidin, M. Reinaldy Hermawan, Chandra Cahyo Utomo
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引用次数: 0

Abstract

This study is focused on developing a data collection system to enhance the performance of Koperasi, an organization with complex data collection. An Android application was created to automate the processing of member and transaction data, significantly improving data processing efficiency. However, building a quality system takes time and requires error-free data processing. To achieve this, Automated Test Case Generation with EvoMaster was used to test the REST API and identify errors. The testing process went through several iterations until almost no errors were found. EvoMaster generated over 19.5 million scenarios and found 78 errors in the REST API in 58 hours, which were promptly fixed between iterations. The use of EvoMaster not only reduced development time but also helped maintain code quality.
基于android的Koperasi应用程序REST API自动生成测试用例的实现
本研究的重点是开发一个数据收集系统,以提高Koperasi,一个复杂的数据收集组织的绩效。创建了一个Android应用程序来自动处理成员和事务数据,显著提高了数据处理效率。然而,建立一个质量体系需要时间,并且需要无错误的数据处理。为了实现这一点,使用EvoMaster自动测试用例生成来测试REST API并识别错误。测试过程经历了几次迭代,直到几乎没有发现错误。EvoMaster在58小时内生成了超过1950万个场景,并在REST API中发现了78个错误,在迭代之间迅速修复了这些错误。使用EvoMaster不仅减少了开发时间,而且有助于保持代码质量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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10 weeks
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