Abstract: A method for self re-encoding an interpreted application includes parsing a string of characters in a comment section of the interpreted application file. Responsive to determining that at least one character of the string of characters is not readable by the target platform, the processor re-encodes the interpreted application file using the string of characters in the comment section. The re-encoding includes parsing a first character in the string of characters. The processor then, optionally, outputs a warning message indicative that a non-native encoding exists in the interpreted application file. The processor parses a second character sequential to the first character. The second character is a first element in a second string of characters indicative of a re-encoding scheme for re-encoding the interpreted application. The processor then outputs a re-encoded application file that is executable by the processor of the target platform.

Abstract: A method for self re-encoding an interpreted application includes parsing a string of characters in a comment section of the interpreted application file. Responsive to determining that at least one character of the string of characters is not readable by the target platform, the processor re-encodes the interpreted application file using the string of characters in the comment section. The re-encoding includes parsing a first character in the string of characters. The processor then, optionally, outputs a warning message indicative that a non-native encoding exists in the interpreted application file. The processor parses a second character sequential to the first character. The second character is a first element in a second string of characters indicative of a re-encoding scheme for re-encoding the interpreted application. The processor then outputs a re-encoded application file that is executable by the processor of the target platform.

Abstract: A system includes a virtual source code specification corresponding to no particular platform and at least one transform mechanism corresponding to a particular platform and configured to be applied to the virtual source code specification to generate a source code corresponding to the particular platform.

Abstract: A method, system, and computer program product for automatic parsing of a markup language (ML) document are provided. The method includes receiving a request from an ML producer to write an ML document including ML data in a text format. The method also includes passing the ML data in the text format to an ML parser, where the ML parser translates the ML data in the text format into a parsed binary format. The method additionally includes writing the ML data in the text format as a text format ML document to a data storage device, and writing the ML data in the parsed binary format as a parsed binary format ML document to the data storage device.

Abstract: A system includes a virtual source code specification corresponding to no particular platform and at least one transform mechanism corresponding to a particular platform and configured to be applied to the virtual source code specification to generate a source code corresponding to the particular platform.

Abstract: A method for accessing a multi-format data object stored on a computer readable storage medium is provided. The method includes receiving a request to read a markup language (ML) document stored in a text format section of the multi-format data object. The method further includes locating a binary format section of the multi-format data object, where the binary format section includes a parsed binary representation of the ML document. The method additionally includes returning the parsed binary representation of the ML document in response to the request. A system, and computer program product are also provided.

Abstract: A method for accessing a multi-format data object stored on a computer readable storage medium is provided. The method includes receiving a request to read a markup language (ML) document stored in a text format section of the multi-format data object. The method further includes locating a binary format section of the multi-format data object, where the binary format section includes a parsed binary representation of the ML document. The method additionally includes returning the parsed binary representation of the ML document in response to the request. A system, and computer program product are also provided.

Abstract: A method, system, and computer program product for automatic parsing of a markup language (ML) document are provided. The method includes receiving a request from an ML producer to write an ML document including ML data in a text format. The method also includes passing the ML data in the text format to an ML parser, where the ML parser translates the ML data in the text format into a parsed binary format. The method additionally includes writing the ML data in the text format as a text format ML document to a data storage device, and writing the ML data in the parsed binary format as a parsed binary format ML document to the data storage device.