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Source-code generation is the process of generating source code based on a description of the problem [9] or an ontological model such as a template and is accomplished with a programming tool such as a template processor or an integrated development environment (IDE). These tools allow the generation of source code through any of various means.
Code generation (compiler), a mechanism to produce the executable form of computer programs, such as machine code, in some automatic manner; Automatic programming (source code generation), the act of generating source code based on an ontological model such as a template; Generating code at run time in self-modifying code and just-in-time ...
Well-formed output language code fragments Any programming language (proven for C, C++, Java, C#, PHP, COBOL) gSOAP: C / C++ WSDL specifications C / C++ code that can be used to communicate with WebServices. XML with the definitions obtained. Microsoft Visual Studio LightSwitch: C# / VB.NET Active Tier Database schema
Mintlify, a startup developing software to automate software documentation tasks, today announced that it raised $2.8 million in a seed round led by by Bain Capital Ventures with participation ...
When code generation occurs at runtime, as in just-in-time compilation (JIT), it is important that the entire process be efficient with respect to space and time. For example, when regular expressions are interpreted and used to generate code at runtime, a non-deterministic finite-state machine is often generated instead of a deterministic one, because usually the former can be created more ...
Scaffolding is a technique supported by some model–view–controller frameworks, in which the programmer can specify how the application database may be used.The compiler or framework uses this specification, together with pre-defined code templates, to generate the final code that the application can use to create, read, update and delete database entries, effectively treating the templates ...
With a focus on the meaning of code, Codota's AI-based autocompletion employed a semantic approach to automatically generate code. [14] [15] [6] Codota, the predecessor of Tabnine, secured $2 million in seed investment in June 2017. Following this, in June 2018, the company introduced the first AI-based code completion for Java IDE. [16] [10] [13]
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