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Implementing control flow resolution in dynamic language
Šindelář, Štěpán ; Zavoral, Filip (advisor) ; Ježek, Pavel (referee)
Dynamic programming languages allow us to write code without type information and types of variables can change during execution. Although easier to use and suitable for fast prototyping, dynamic typing can lead to error prone code and is challenging for the compilers or interpreters. Programmers often use documentation comments to provide the type information, but the correspondence of the documentation and the actual code is usually not checked by the tools. In this thesis, we focus on one of the most popular dynamic programming languages: PHP. We have developed a framework for static analysis of PHP code as a part of the Phalanger project -- the PHP to .NET compiler. The framework supports any kind of analysis, but in particular, we implemented type inference analysis with emphasis on discovery of possible type related errors and mismatches between documentation and the actual code. The implementation was evaluated on real PHP applications and discovered several real errors and documentation mismatches with a good ratio of false positives. Powered by TCPDF (www.tcpdf.org)
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IntelliSense Implementation of a Dynamic Language
Míšek, Jakub ; Zavoral, Filip (advisor)
In the context of computer programming, the importance of computer assistance is being understood by many developer communities. Developers are e.g. using the same well known expressions or searching method signatures in library documentations. Code sense or IntelliSense methods make most of these actions unnecessary because they serve the available useful information directly to the programmer in a completely automated way. Recently, with the increased focus of the industry on dynamic languages a problem emerges - the complete knowledge on the source code is postponed until the runtime, since there may be ambiguous semantics in the code fragment. As a part of the Phalanger project the methods for syntax and semantic analysis of the dynamic code were designed, especially targeted for the PHP programming language. These methods produce a list of valid possibilities which can be then used on a specified position in the source code; such as declarations, variables and function parameters. This collected information can be also used to a fine-grained syntax highlighting.
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IntelliSense Implementation of a Dynamic Language
Míšek, Jakub ; Zavoral, Filip (advisor)
In the context of computer programming, the importance of computer assistance is being understood by many developer communities. Developers are e.g. using the same well known expressions or searching method signatures in library documentations. Code sense or IntelliSense methods make most of these actions unnecessary because they serve the available useful information directly to the programmer in a completely automated way. Recently, with the increased focus of the industry on dynamic languages a problem emerges - the complete knowledge on the source code is postponed until the runtime, since there may be ambiguous semantics in the code fragment. As a part of the Phalanger project the methods for syntax and semantic analysis of the dynamic code were designed, especially targeted for the PHP programming language. These methods produce a list of valid possibilities which can be then used on a specified position in the source code; such as declarations, variables and function parameters. This collected information can be also used to a fine-grained syntax highlighting.
|
|
|
Implementing control flow resolution in dynamic language
Šindelář, Štěpán ; Zavoral, Filip (advisor) ; Ježek, Pavel (referee)
Dynamic programming languages allow us to write code without type information and types of variables can change during execution. Although easier to use and suitable for fast prototyping, dynamic typing can lead to error prone code and is challenging for the compilers or interpreters. Programmers often use documentation comments to provide the type information, but the correspondence of the documentation and the actual code is usually not checked by the tools. In this thesis, we focus on one of the most popular dynamic programming languages: PHP. We have developed a framework for static analysis of PHP code as a part of the Phalanger project -- the PHP to .NET compiler. The framework supports any kind of analysis, but in particular, we implemented type inference analysis with emphasis on discovery of possible type related errors and mismatches between documentation and the actual code. The implementation was evaluated on real PHP applications and discovered several real errors and documentation mismatches with a good ratio of false positives. Powered by TCPDF (www.tcpdf.org)
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