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gRPC (acronym for gRPC Remote Procedure Calls [2]) is a cross-platform high-performance remote procedure call (RPC) framework. gRPC was initially created by Google, but is open source and is used in many organizations.
The basic ideas for Robot Framework were shaped in Pekka Klärck's masters thesis [3] in 2005. The first version was developed at Nokia Networks the same year. Version 2.0 was released as open source software June 24, 2008 and version 3.0.2 was released February 7, 2017.
The ISRG provides free and open-source reference implementations for ACME: certbot is a Python-based implementation of server certificate management software using the ACME protocol, [6] [7] [8] and boulder is a certificate authority implementation, written in Go. [9] Since 2015 a large variety of client options have appeared for all operating ...
Software validation checks that the software product satisfies or fits the intended use (high-level checking), i.e., the software meets the user requirements, not as specification artifacts or as needs of those who will operate the software only; but, as the needs of all the stakeholders (such as users, operators, administrators, managers ...
It is quickly gaining ground as an OSS project version control system. [7] Many open-source projects are now using distributed revision control systems, which scale better than centralized repositories such as SVN and CVS. Popular examples are git, used by the Linux kernel, [8] and Mercurial, used by the Python programming language. [citation ...
If a web server responds with Cache-Control: no-cache then a web browser or other caching system (intermediate proxies) must not use the response to satisfy subsequent requests without first checking with the originating server (this process is called validation). This header field is part of HTTP version 1.1, and is ignored by some caches and ...
Verification is intended to check that a product, service, or system meets a set of design specifications. [6] [7] In the development phase, verification procedures involve performing special tests to model or simulate a portion, or the entirety, of a product, service, or system, then performing a review or analysis of the modeling results.
Active validation allows the checking of domain specific models in real time and suggests help and can even fix some issues. DSL elements can be converted to any subtype or a more general type using the “Convert to” function. DSL allows custom derived properties to be created that allow extending a UML metamodel or its profile.