Oracle International Corporation

Shailesh Vinayaka

John Smiljanic

James Driscoll

Blake T Sullivan

Tal Broda

Edward Farrell

Max Starets

Dipankar Bajpai

Michael John De Groot

David Allen Schneider

Xi Li

Sekhar Chandra Korupolu

Fabio Saraiva De Souza

Mohammad Aminur Rashid

Steven P Muench

Shimpa Saxena

Congxiao Lu

Ronald Van Grinsven

Nagarajender Rao Katoori

Mahesh Bansal

Namita Varma

Computer code is received that is written using a dynamic Domain Specific Language (DSL) running in a General Purpose Language (GPL) computing environment. A compiler performs static compiler analysis on the computer code. The static compiler analysis includes referencing a security policy defining one or more unacceptable program behaviors. During compile time at the compiler, runtime security checking functionality is performed leveraging compiler extensions, type information, and environment specific compile context. Results of the static compiler analysis are used to indicate when execution of the computer code would result in performance of the one or more unacceptable program behaviors. The one or more unacceptable program behaviors include modifying preexisting computer code to incorporate the computer code written using the DSL.

Determining based on static compiler analysis that execution of compiler code would result in unacceptable program behavior

Pieces of an entity's data set can be related with each other using a canonical Uniform Resource Locator (URL). If a server returns pieces of an entity's data record to a client within multiple separate REST-based responses, the client can discern from the canonical URL that those pieces relate to the same entity. In response to each REST-based request from a client, a server returns, with the client-requested data, a canonical URL that uniquely identifies that data's entity. A client can receive the canonical URL with the data that the server returns. If the canonical URLs returned along with data items in separate requests match, then the client determines that those data items pertain to the same entity. If the client determines that separately received data items pertain to the same entity, then the client can merge those data items together into a unified record that the client stores locally.

Data uniqued by canonical URL for rest application

An example system and method for securing computer code of a dynamic Domain Specific Language (DSL) that leverages a General Purpose Language (GPL). An example method includes enhancing compile-time security enforcement functionality for computer code written using the DSL, in part by using a compiler to perform static analysis on the DSL computer code. The static analysis includes referencing a security policy defining one or more unacceptable program behaviors; and indicating when execution of the computer code would result in performance of the one or more unacceptable program behaviors based on results of the static analysis.

Method for static security enforcement of a DSL

An adapter can execute a test script in parallel relative to separate tenant installations in a multi-tenant environment. Such tenant installations can be established within a cloud computing environment. Multiple tenant installations may share some installation components, such as an application server and/or a database, so that these shared installation components are not duplicated. While executing the test script in parallel, the adapter can translate selected values for each test script execution so that those values are distinguished from corresponding values within other test script executions. The values can be translated to reflect the identity of the tenant whose installation the test script execution targets. Furthermore, while executing the test scripts in parallel, the adapter can cause the test script executions to synchronize at specified points within the test script, so that all of the test script executions are guaranteed to have executed to a common point before proceeding.

System to enable multi-tenancy testing of business data and validation logic on the cloud

Various arrangements for debugging logic being executed by a webserver is presented. A virtual machine of the webserver may execute runtime threads for a plurality of remote users. The web server may compile business logic code received from a developer computer system via a web-based interface into an logic insight injected code. The logic insight injected code may be compiled from the business logic code to include debugging functionality. The virtual machine of the webserver may execute the logic insight injected code concurrently with the runtime threads being executed for the plurality of remote users. The debugging functionality of the logic insight injected code being executed may not affect execution of the runtime threads for the plurality of users.

Debugging analysis in running multi-user systems

A system is provided that automatically manages data consistency of a web application. When the system sends a data entity to a user interface component that the system has determined is an updatable user interface component, the system stores a version indicator for the data entity within a resource scope. When the system receives a request to update the data entity, the system compares the version indicator stored within the resource scope with a version indicator stored within a data store. When the two version indicators are identical, the system updates the data entity. When the two version indicators are not identical, the system raises an exception.

Automatic management of client data consistency

Systems and methods for debugging domain specific languages are provided. In accordance with an embodiment, one such system can comprise a web which includes a virtual machine, a debug execution machine, and a domain specific language (DSL)-specific tool interface. The web server is configured to compile DSL code received from a developer computer. During compilation the DSL code is instrumented to include debugging information received from the developer computer. The web server is also configured to execute, by the virtual machine, the instrumented code. During execution the instrumented code communicates with the debug execution machine such that a state of the debug execution machine mirrors a state of the virtual machine.

System and method for debugging domain specific languages

Various arrangements for implementing a security policy at runtime are presented. A plurality of calls in a syntax tree may be identified. Each call of the plurality of calls may be substituted with a corresponding security-modified call to create a plurality of security-modified methods calls. Each security-modified call may be linked with a security class. Following modification of each call of the plurality of calls, the plurality of security-modified calls may be compiled into bytecode.

Enforcing security rules at runtime

A system that pushes active data to a client receives a first request for a page that includes active data from the client. The active data includes a component and a corresponding model for a data source of the component. The system determines if the model is active and if so, instantiates an encoder that corresponds to the component. The system queries the model for the active data and renders a user interface representation of the data. The system then returns a response to the request with the user interface representation.

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Los Gatos, CA, United States of America

Shailesh Vinayaka