An approach is provided for predicting an exception during a debugging of software code before the debugging encounters the exception. During a debugging of a line number L of the code and based on an exception being predicted to be encountered at a line number M, a warning is displayed that the exception is to be encountered at the line number M, which is within a range of line numbers L+1 through L+X, where L>0 and X>1. Using a fix written in response to the predicted exception, the software code is modified. During a debugging of the line number M of the code, the modified software code is executed to avoid the predicted exception.

Techniques for performing management operations may include: creating a job using a graphical user interface (GUI) of an application, wherein the job includes at least one task and the job performs a first management operation including the at least one task; storing first information that describes the job in an application database for the application; and performing first processing that generates a code module for the job, wherein said first processing uses the first information from the application database. The code module may be a script written in a target script language. Multiple providers may converts different types of tasks to scripts. The providers may register prior to performing the first processing. Registering may include each provider declaring each type of task the provider converts to a specified target scripting language. The task types may be organized in a hierarchy of classes or categories.

A data processing device configured to provide access to a stream of data elements to a consumer. The data processing device is further configured to generate a data stream source by generating a first instance of a stream providing module such that the stream providing module provides the data stream in one of a push-mode and a pull-mode, wherein, in the push mode, the first instance of the stream providing module provides elements of the data stream according to a predefined schedule, wherein, in the pull mode, the first instance of the stream providing module provides elements of the data stream after receiving a data stream request from a consumer. Such a data processing device may provide the benefit of versatility as it can be transformed to both push and pull computation patterns.

The present disclosure relates to systems and methods that are configured to semi-automate data transformation processing so that content can be transformed, from one type of electronic document, for presentation in another type of electronic document. For instance, data transformation suggestions, for transforming content from a first form into a presentation form (second form), may be generated and presented to a user through an improved user interface of an application/service that is used to display the first form of the content. The improved user interface provides a new user interface menu to manage the data transformation suggestions and/or export/import processing of data from one type of electronic document to another. Based on user selection of the confirming data transformation suggestions through the user interface menu, a presentation document is automatically generated on behalf of the user, for example, in a different application/service.

Examples disclosed herein relate to classification models for binary code data. Some of the examples enable obtaining changed binary code data and unchanged binary code data, and generating, using a machine-leaning algorithm, a classification model based on training data that comprises the changed binary code data and the unchanged binary code data.

A method and system are provided for transforming legacy application(s) into target (modern) application source(s) to execute on modern technology and hardware. In one implementation, such a system identifies elements of legacy applications, generates an element tree to generate a source code functionally equivalent to that of the legacy application, but superior and modern in technology, deployable onto a distributed architecture on a hardware server cluster. The generated source code is assessed to detect and correct code defects, and test cases are generated for identifying the potential errors of the target application under development.

Techniques for component-based software engineering, and more particularly, to techniques for enhancing component based development systems by making components self-aware with respect to the applications that they may be consumed in or other peer components within the applications. An exemplary technique includes determining an addition of one or more components to an interface of an application; identifying an asset definition within metadata of a component of the one or more components added to the interface of the application, where the asset definition provides self-wiring or self-configuring instructions for an asset that needs to be created for the component within a predefined scope when the component is added to the interface; and creating the asset for the component based on the asset definition.

Computerized systems and methods for managing API information. An exemplary method includes receiving an input from a user device associated with a first computer system, the input not including identity of a second computer system. The method includes determining a target API based on the input, the target API being the second computer system's API. The method also includes determining whether a user of the user device has access to the target API. The method includes retrieving documentation of the target API from an API database if it is determined that the user has access to the target API. The method includes providing the user device with the retrieved documentation.

A method for controlling a compile a software application. The method includes at least one computer processor generating, from source code corresponding to a software application, a plurality of pre-optimization intermediate representations (IRs) of functions associated with the software application. The method further includes generating a plurality of post-optimization IRs of the functions associated with the software application by executing one or more optimization routines on the plurality of pre-optimization IRs of functions. The method further includes determining a set of IRs of functions, from the plurality of generated pre-optimization IRs of the functions associated with the software application and the generated plurality of post-optimization IRs of the functions associated with the software application. The method further includes converting a determined set of IRs of functions to an executable version of the software application.

Methods and computer-readable media are disclosed herein for generating asynchronous runtime compatible applications from non-asynchronous applications. In embodiments, source code for the application that is not compatible with asynchronous processing is examined. The source code is parsed in order to identify unsafe functions that will cause failures of the application when processed in an asynchronous runtime. The source code corresponding to those unsafe functions is modified by adding asynchronous functions and commands to the source code and restructuring the source code. The modified source code may then be provided to an asynchronous runtime environment as the application is now compatible with asynchronous processing.