G06F8/42

Low-Code and No-Code Customization User Interface Components

Persistent storage may contain a plurality of user interface (UI) component definitions. One or more processors may be configured to: receive, by way of a platform UI builder, selection of a UI component definition from the plurality of UI component definitions; bind, by way of input entered into the platform UI builder, data to the UI component definition, wherein the data is from a data source, and wherein the input is a programmatic statement that references the data source or a set of values that references the data source; generate, by way of the platform UI builder, metadata representing the input; create, by a platform runtime, a UI component that incorporates the data into the UI component definition in accordance with the metadata; generate, by the platform runtime, a graphical user interface including the UI component; and provide, for display on a client device, a representation of the graphical user interface.

Using big code to construct code conditional truth tables

A method of analyzing code is provided. The method includes generating an abstract representation of the code, identifying conditional statements in the abstract representation, populating a truth table for each conditional statement that has been identified with all possible outcomes of the conditional statement and assessing the truth table for each conditional statement to identify issues.

Systems, methods, and apparatus for certifying plugins for application development
09851956 · 2017-12-26 · ·

Systems, apparatus, methods, and articles of manufacture provide for (i) determining plugin data defining one or more plugins; (ii) determining one or more platform standards for plugins; (iii) initiating a compile or build process for one or more plugins; and/or (iv) performing a plugin certification process.

METHOD FOR CREATING AN APP-CAPABLE BASIC SYSTEM AND A MATCHING APP
20230195549 · 2023-06-22 ·

The present disclosure discloses a method for creating an app-capable basic system, such as an app-capable measuring transducer or an app-capable sensor, and a matching app, comprising the steps of: creating one or more interface methods with their name and version that the basic system expects from the app; creating one or more system calls with their name and version that the basic system offers the app; checking the interface methods and system calls for syntactic and semantic correctness; creating interface stubs for the basic system using the interface methods; creating system call stubs for the app using the system calls; creating the basic system by means of the system calls and interface stubs; and creating the app by means of the interface methods and the system call stubs.

Smart contract processing method and system, computer device, and readable storage medium

The present disclosure relates to a smart contract processing method and a system, and a readable storage medium. By segmenting a function requiring performance analysis, establishing a symbol calculation model and calculating a GAS consumption formula, and performing further optimization, a GAS value consumed by the execution of a program containing a polynomial cycle can be automatically calculated, or a GAS value consumed by the execution of a program containing a non-linear cycle can be calculated with minimal human assistance, so as to reflect the performance thereof.

BUILDING MULTI-REPRESENTATIONAL LEARNING MODELS FOR STATIC ANALYSIS OF SOURCE CODE

A system/process/computer program product for building multi-representational learning models for static analysis of source code includes receiving training data, wherein the training data includes a set of source code files for training a multi-representational learning (MRL) model for classifying malicious source code and benign source code based on a static analysis; generating a first feature vector based on a set of characters extracted from the set of source code files; generating a second feature vector based on a set of tokens extracted from the set of source code files; and performing an ensemble of the first feature vector and the second feature vector to form a target feature vector for classifying malicious source code and benign source code based on the static analysis.

Restructuring enterprise application

The present invention provides a system and method for restructuring of one or more applications. The invention includes a syntax data library having components enabling creation of one or more logical flow blocks by the AI engine. The logical flow blocks are structured on an extension tool interface to restructure the one or more applications for executing one or more SCM operations.

Systems and Methods for Model-Based Analysis of Software
20170329582 · 2017-11-16 ·

Disclosed herein are methods, systems, and computer program products directed to a guidance engine. The guidance engine is configured to query a knowledge base for guidance with respect to a property of a software application. The guidance engine receives a responsive query from the knowledge base that is based on the property. The responsive query informs a user of the guidance engine how to address a vulnerability within the software application by performing a transform with respect to a property of the software application.

MAPPING FOR SOFTWARE COMPLIANCE
20220058017 · 2022-02-24 ·

A method for the identification of similarities and dissimilarities of mappings between the elements of a first model and the elements of a second model, an element being one of: an object, a link, a node, a class, an attribute, an activity, a flow, etc., wherein the method uses a processor for performing a model mining of the elements of both models in accordance with pre-defined rules and through at least two of the following analyses: a semantic analysis of the elements; a syntactic and/or structural analysis of the elements; a data-based analysis of the elements; and wherein based on these analyses and potentially also based on pre-performed mappings, similarities and dissimilarities mappings between the elements of the first model and the second model are identified and are provided to a user.

WARNING DATA MANAGEMENT FOR DISTRIBUTED APPLICATION DEVELOPMENT

Aspects of the disclosure relate to using a set of warning data to manage distributed development of an application in a computing environment. In embodiments, the computing environment may include a distributed computing environment or a stream computing environment. A first portion of the application may be developed by a first user. A second portion of the application may be received by the first user. The second portion of the application may be compiled and developed by a second user. Based on the set of warning data, a curative action for utilization to develop the application may be formulated. The curative action may be carried-out to develop the application.