A script analysis platform may obtain a script associated with content wherein the script includes one or more functions that include one or more expressions. The script analysis platform may parse the script to generate a data structure and may traverse the data structure to determine the one or more functions and to determine properties of the one or more expressions, wherein traversing the data structure includes evaluating one or more constant sub-expressions of the one or more expressions. The script analysis platform may analyze the properties of the one or more expressions to determine whether the script exhibits malicious behavior. The script analysis platform may cause an action to be performed concerning the script or the content based on determining whether the script exhibits malicious behavior.

Techniques for accessing a migrated method include: identifying a request to invoke a method defined by a type, the request including one or more arguments associated with respective argument types; identifying, in the type, an older version of the method associated with (a) a method name and (b) a first set of one or more parameter types, and a current version of the method associated with (a) the method name and (b) a second set of one or more parameter types; determining that the argument type(s) match(es) the first set of one or more parameter types; responsive to determining that the argument type(s) match(es) the first set of one or more parameter types: applying one or more conversion functions to convert the argument(s) to the second set of one or more parameter types; executing the current version of the method using the converted argument(s).

Techniques for accessing a migrated method include: identifying a request to invoke a method defined by a particular type; identifying, in the particular type: an older version of the method that is (a) associated with a method name and (b) configured to return values of a first return type, and a current version of the method that is (a) associated with the method name and (b) configured to return values of a second return type; determining that the first request specifies the first return type; responsive to determining that the first request specifies the first return type: executing the current version of the method to obtain a value of the second return type; applying one or more conversion functions to convert the value of the second return type to a value of the first return type; returning the value of the first return type responsive to the first request.

A method for updating a control program of an automation system with data migration of a program state of the control program is provided. The method comprises generating a first migration function for mapping a first data element to a second data element, interrupting a cyclic execution of a first control program, determining a value of the first data element, where the determined value of the first data element describes a program state of the first control program at the time of the interruption, and mapping the value of the first data element to the second data element by executing a migration function.

Operations include a compilation process and a runtime process. A compiler compiles code to generate virtual machine instructions. The compiler further generates information referencing respective parameter types of the parameters of a target virtual machine instruction. The compiler stores the information external to and in association with the target virtual machine instruction. The information may be included in another virtual machine instruction that precedes the target virtual machine instruction. A runtime environment processes the target virtual machine instruction based on the information stored external to and in association with the target virtual machine instruction. Parameter types referenced by the external information override parameter types that are (a) referenced by the target virtual machine instruction itself, (b) deduced by the runtime environment and/or (c) stored directly in association with the parameter values.

A technique is described for evaluating code at a local computing device before deploying the code to a cloud computing platform to be compiled. In an example embodiment, class files including the code in a programming language associated with the cloud computing environment are loaded by a local computer system, for example, associated with a software developer. The local computer system then parses the code to identify elements in the code and checks the identified elements. Errors in the code are identified based on the checking and are displayed to a user (e.g., the developer), for example, via a graphical user interface of a code editor application.

A script analysis platform may obtain a script associated with content wherein the script includes one or more functions that include one or more expressions. The script analysis platform may parse the script to generate a data structure and may traverse the data structure to determine the one or more functions and to determine properties of the one or more expressions, wherein traversing the data structure includes evaluating one or more constant sub-expressions of the one or more expressions. The script analysis platform may analyze the properties of the one or more expressions to determine whether the script exhibits malicious behavior. The script analysis platform may cause an action to be performed concerning the script or the content based on determining whether the script exhibits malicious behavior.

Protection of a first software application to be executed on an execution platform by adding at least one check module to the software application, wherein the check module, when being executed, checks at least a part of the code of the protected software application loaded in the memory and carries out a predefined tamper response in case the check module detects that the checked code was changed or ensures that the protected software application continues to function correctly in case the check module detects that the checked code was not changed; selecting a first code region of the first software application, said first code region provides a first functionality when being executed; amending the selected first code region of the first software application such that an amended first code region is generated to provide the protected software application; wherein the amended first code region, when being executed, still provides the first functionality but carries out an access to at least a part of the code of a protected software application loaded in the memory for providing the first functionality.

In one embodiment, the present disclosure pertains to automated data type determination of variables that are written in a programming language. In one embodiment, a programming language statement is received. The programming language statement includes a variable, an expression to which the variable is set, and a request to determine a data type of the variable. The expression is processed to deduce a data type of the expression. In certain embodiments, the data type of the expression is then assigned as the data type of the variable such that the data type can be used when the programming language statement is compiled into machine executable code.

A system and method that facilitate the processing, analysis, modeling, and model deployment for AI applications using time series data. This system enables clients with no prior knowledge in coding to obtain descriptive and predictive outputs which provide a more profound understanding of the modelled system and produce actionable insights. These models are deployed through containerized cloud-based systems such that predictions are obtained via a single Web API call. Through the automated process of the invented Ai abstraction engine, clients can create Forecasting, Regression, and Classification applications as well as specific Predictive Maintenance Models. The predicted outputs of these models are fed to an explainability function that returns the inputs with highest contribution to the prediction, which consequently ensures a high measure of confidence and allows for reasoning.