A Review of Automated Testing Approach for Software Regression Testing

Sutapa, Fransiskus Anindita Kristiawan Pramana Gentur; Kusumawardani, Sri Suning; Permanasari, Adhistya Erna

doi:10.1088/1757-899x/846/1/012042

Cited by 1 publication

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“…Regression tests often appear in later stages of implementation or may even be absent from the technological stack of a given team. As mentioned in the work by Sutapa et al (2020), some of the most commonly used tools for assisting with the automation of regression tests include Selenium, SAHI, and Robot Framework. However, implementing effective automated regression tests requires careful planning, design, and integration into the development process to ensure that code changes do not inadvertently introduce new issues into the software.…”

Section: Regression Testsmentioning

confidence: 99%

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2023

SPSUTOM

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Artificial intelligence (AI) can be applied in various areas of crisis management. It can provide numerous benefits concerning speed, effectiveness and precision of actions. AI accelerates the process of massive amounts of data processing, such as sensor data, satellite images, social data streams and much more. This enables to make quick analysis of a situation and make quick decisions in order to monitor various sources of information in real-time and detect early signals of a crisis. Advanced algorithms can identify patterns and anomalies enabling a quick response. AI can be used to model various crisis scenarios based on available historical and current data. This way it is possible to predict the probable effects of a given crisis and prepare for various situations. AI can analyze social media data to monitor community sentiments, identify potential threats and manage crisis communication. Automatic sentiment analysis systems can help understand society's response to a crisis. Advanced AI systems can be used to predict human behavior in various crisis scenarios. This allows to understand better how people may react and what their needs are in a given time. AI can help detect and combat cyber attacks, which constitute a serious threat, especially when it is necessary to maintain critical infrastructures. Integrating AI into crisis management requires caution because decisions made by AI systems should be consistent with ethical standards and they must consider the human supervision and assessment of the crisis situation. Design/methodology/approach: The paper analyzes the AI methods applied during crises. The results of interviews conducted with students, teachers and authors' personal experiences are provided. Findings: AI is a new way of solving problems, especially during crises. The new technologies determine the way and the speed of problems solving. Originality/value: Originality based on the interviews and post-crisis (COVID) points of view are the value.

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Section: Regression Testsmentioning

confidence: 99%

Untitled

2023

SPSUTOM

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A Review of Automated Testing Approach for Software Regression Testing

Cited by 1 publication

References 3 publications

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