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With the advent of the era of the container technology, Docker and Rocket are the representatives of the excellent container engines available from the open source community. This article presents how container technology improves different software testing tasks (application test, middle layer test, kernel test, hardware driver test, compiling test) and its benefits. We will use test practices to demonstrate the opportunities that containers bring to software testing.

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This presentation looks at PVS-Studio static code analyzer. PVS-Studio is a tool for bug detection in the source code of programs, written in C, C++ and C#. It works in Windows and Linux environment. PVS-Studio performs static code analysis and generates a report that helps a programmer find and fix bugs also performs a wide range of code checks, it is also useful to search for misprints and Copy-Paste errors. #cpp #csharp #secdevops #securecoding https://youtu.be/kmqF130pQW8


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During software testing, there’s always the option not to write acceptance tests. If you genuinely don’t have a customer or if you are your own customer, it’s worth thinking carefully about whether there’s value in following the story delivery lifecycle in full.

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Software testing is facing different evolutions that need a new perspective. The speed of software delivery is getting faster, influenced by approaches like DevOps and Agile software development. The challenge is also to deliver and test solutions that have to work on different channels from the desktop to the mobile. On the technical side, the shift to mobile applications requires to support and validate a large number of mobile platforms and versions distributed on a vast amount of devices from different suppliers. The Internet of Things (IoT) is also a new trend that creates customer-facing software on different gadgets or appliances.
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