Systems and methods are described for utilizing script chunks in client-side browsing applications. A script chunking service divides scripts into smaller portions, and generates precompiled chunks of code that correspond to the portions. The service may then request compilation of only those portions of a script that do not have a corresponding precompiled chunk. Portions may be determined based on length, script keywords, or other criteria, and chunks may be identified by applying a hashing function to the portions. Scripts may be filtered to identify differing portions of source code that compile to functionally identical instructions, and the chunking service may use supplemental hashes, hashes of hashes, and complier state information to facilitate identification and compilation of precompiled chunks.

End-user software is used to select lists of values of control signals from a predetermined design of a processor, and a unique value of an opcode is assigned to each selected list of values of control signals. The assignments, of opcode values to lists of values of control signals, are used to create a new processor design customized for the end-user software, followed by synthesis, place and route, and netlist generation based on the new processor design, followed by configuring an FPGA based on the netlist, followed by execution of the end-user software in customized processor implemented by the FPGA. Different end-user software may be used as input to generate different assignments, of opcode values to lists of control signal values, followed by generation of different netlists. The different netlists may be used at different times, to reconfigure the same FPGA, to execute different end-user software optimally at different times.

A method and system facilitates the development of data science transformations in one programming language and the deployment of the data science transformations in another programming language, according to one embodiment. The method and system preserves relationships, functions, configurations, and characteristics between combinations of data transformations, according to one embodiment. The preservation of the relationships, functions, configurations, and characteristics is enabled by developing and providing a set of low-level (e.g., atomic) transformations that enable users to build their own models, libraries, and configurations into macro-transformations (e.g., conglomerate transformations), according to one embodiment. Deploying the data science transformations into production computing environments is useful for providing or supporting a number of types of software services, such as, predicting user behavior, customizing user experiences, supporting marketing initiatives, providing empirically-backed recommendations, predicting user preferences for software interactions, and/or otherwise exposing patterns that are identified from historical and transactional data, according to one embodiment.

A computer implemented method, apparatus, and computer program product for transferring information with an aircraft. A connection is established between an onboard electronic distribution system executing in an aircraft data processing system in the aircraft and an on ground component. Responsive to a request for a command from the on ground component, the command for execution is identified. The identified command is sent to the onboard electronic distribution system from an on ground component. A transaction identifier is assigned to the command. A transaction associated with the command is maintained on the onboard electronic distribution system and the on ground component using the transaction identifier. An uplink is initiated by the on ground component. An aircraft software part is sent to the onboard electronic distribution system from the on ground component to perform the uplink. A status of a transfer of the aircraft software part on ground component is stored.

A computer-implemented system and method for creating, managing, and reusing schema type definitions in SOA services, grouped in the form of libraries are disclosed. The method in an example embodiment includes: grouping a plurality of Extensible Mark-up Language (XML) schema (XSD) types, each XSD type defined in an individual XSD file; using a processor to bundle the plurality of individual XSD types into a type library, the type library including a type information file to register the individual XSD types in the type library, the type library further including a type dependencies file to register dependencies between the individual XSD types in the same or different type library; importing types from a different type library, when defining derived types or aggregated types; generating Java artifacts from the XSD types; and associating the Java artifacts with corresponding XSD types in the type information file of the type library.

A system, method, and computer-readable medium, is described that finds similarities among programming applications based on semantic anchors found within the source code of such applications. The semantic anchors may be API calls, such as Java's package and class calls of the JDK. Latent Semantic Indexing may be used to process the application and semantic anchor data and automatically develop a similarity matrix that contains numbers representing the similarity of one program to another.

An improved CFI system and method is described that provides security from attacks to hijack computer software. The improved CFI system and method inserts two tags to execute label identification. The first tag is positioned before any instruction that would result in an indirect control flow transfer and requires the program to execute a check. The second tag is located before the first line of any legitimate transfer destination and when discovered by the tag check allows a program to carry out the indirect transfer. This tag orientation does not prevent transfers to targets other than the origin instruction's specific intended destination but limits transfers to destinations that begin with the proper label dedication. Although, an incorrect address may be called, that will be within the software program's assortment of legitimate indirect transfer targets. Attempts to exploit or reroute indirect transfers outside of the established control flow are eliminated.

Shader manipulation via object-oriented instructions is disclosed. In various embodiments, a processor may receive object-oriented instructions. Upon receiving the object-oriented instructions, the processor may match the object-oriented instructions to uniforms of a non-object-oriented application programming interface (API) that may interface with a graphics processing unit (GPU). Further, the processor may modify the uniforms based at least in part on the received object-oriented instructions. Additionally, the processor may implements the uniforms after modification at a determined time.

Systems, methods, and other embodiments are disclosed that are configured to verify the translation of a program from a first programming language to a second programming language. In one embodiment, a first program is executed within a first thread of a process in parallel with a second program within a second thread of the process. A first source code of the first program is written in the first programming language, and a second source code of the second program is a translation of the first source code of the first program to the second programming language based on a translation process. Statement flow and program variables are compared at equivalent lines of code between the first program and the second program, during execution of the two programs in parallel, to generate execution results. The translation process is transformed, based on the execution results, facilitating correcting of the second source code.

Aspects of the disclosure relate to managing a set of warning data with respect to a development phase in a computing environment. In embodiments, the computing environment may include a distributed computing environment or a stream computing environment. The set of warning data may be detected with respect to the development phase. In embodiments, the set of warning data may be used to develop an application. By analyzing the set of warning data, a relationship between the set of warning data and a component of the application may be identified. In embodiments, the component of the application may include a computing artifact or a computing object. An indication of the relationship between the set of warning data and the component of the application may be provided for utilization to develop the application.