Shift-left testing: Difference between revisions

Revision as of 00:12, 29 April 2023

Revision as of 16:18, 4 May 2023

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Another reason for shift left testing is to [https://www.lambdatest.com/learning-hub/shift-left-testing increase collaboration and communication] between different teams involved in software development. By catching defects early, development teams can work more closely with other stakeholders, such as testers and business analysts, to identify and resolve issues before they become more difficult to fix.

There are several tools available to support shift-left testing, including those that use [[artificial intelligence]] (AI) and [[machine learning]] (ML). AI and ML tools can be used to automate testing activities and optimize test coverage. By using these tools, software developers can identify defects earlier in the development cycle and improve the overall quality of their software products.<ref>{{cite book |last1=J. Gao, C. Tao, D. Jie, S. Lu |title=What is AI Software Testing? and Why |date=2019 |publisher=IEEE |url=https://ieeexplore.ieee.org/document/8705808/authors#authors}}</ref>

Overall, shift-left testing helps organizations improve the quality of their software, reduce development costs, and shorten the time to market. By catching defects early in the development process, organizations can avoid costly rework and improve the overall success of their software projects.

== Risks of testing later ==