research paper on automation testing

This work presents TestLab, an intelligent automated software testing framework that attempts to gather a set of testing methods and automate them using Artificial Intelligence to allow...

Mature test automation is key for achieving software quality at speed. In this paper, we present a multivocal literature review with the objective to survey and synthesize the guidelines given in the literature for improving test automation maturity.

The research examines how automated testing makes it easier to evaluate software quality, how it saves time as compared to manual testing, and how it differs from each of them in terms of benefits and drawbacks.

Amannejad et al. in21 automate the integral testing process, ranging from test-case design, to test scripting, to test execution and finally test-result evaluation, in an oil and gas industry and found out that effective decisions on test automation may result in more than 100% ROI in ten rounds of test case rerunning.

Finding time- and cost-effective methods for software testing. The research examines how automated testing makes it easier to evaluate software quality, how it saves time as compared to...

Automation testing is an approach of software testing in which programming scripts are written to automate the process of testing. There are some software development projects under development phase for which automated testing is suitable to use and other requires manual testing.

We perform a systematic mapping study on a sample of 124 publications. ML generates input for system, GUI, unit, performance, and combinatorial testing or improves the performance of existing generation methods. ML is also used to generate test verdicts, property-based, and expected output oracles.

Two papers are directly related to the application of AI and ML in test automation, while two other papers address the topic of TA in domains that are anyhow AI-relevant, such as rule-based and mobile systems.

In this study, we aim to recognize the impact of AI technologies on various software testing activities or facets in the STLC. Further, the study aims to recognize and explain some of the biggest challenges software testers face while applying AI to testing.

This paper presents a review of the use of Test Automation in a DevOps environment, it also provides glimpses of automated testing tools. The results are limited to articles published in peer-reviewed conferences, scientific journals, and books published between 2013 and 2021.