Novel tools and techniques are provided for implementing accounting platform functionalities. In various embodiments, a computing system might access a data file(s) associated with a first entity from a first accounting software system among a plurality of accounting software systems, each operating based on corresponding one of two or more commercial accounting software that are different from and/or incompatible with each other. The computing system might autonomously extract transaction data corresponding to a transaction entry for each individual transaction. The computing system might autonomously generate a transaction-based trial balance based on the extracted transaction data, the generated transaction-based trial balance serving as a living trial balance that is continually updated based on updated or new transaction data that is accessed from the first accounting software system. The computing system might autonomously generate one of a tax trial balance or an adjusted trial balance, based on the generated transaction-based trial balance.

Methods and systems are provided for modifying an application provided by a cloud-based computing system. The application is used by end users of an organization that is part of the cloud-based computing system. A clickstream monitoring module monitors a clickstream generated by each end user as that end user interacts with the application to generate a set of clickstream data for that particular end user. Each set of clickstream data indicates a path of interaction with features of the application by a particular end user. The sets of clickstream data can then be processed at an analytics engine to extract usage patterns that indicate how end users interact with different features of the application during usage of the application. The extracted usage patterns indicate which features the end users interact with and in what order. An artificial intelligence engine can then generate, based on the extracted usage patterns, at least one recommendation for modifying one or more features of the application to tailor the application for use by the end users in view of the extracted usage patterns.

Methods and systems are provided for modifying an application provided by a cloud-based computing system. The application is used by end users of an organization that is part of the cloud-based computing system. A clickstream monitoring module monitors a clickstream generated by each end user as that end user interacts with the application to generate a set of clickstream data for that particular end user. Each set of clickstream data indicates a path of interaction with features of the application by a particular end user. The sets of clickstream data can then be processed at an analytics engine to extract usage patterns that indicate how end users interact with different features of the application during usage of the application. The extracted usage patterns indicate which features the end users interact with and in what order. An artificial intelligence engine can then generate, based on the extracted usage patterns, at least one recommendation for modifying one or more features of the application to tailor the application for use by the end users in view of the extracted usage patterns.

An improved SDK includes a set of APIs and a crash handler registered with the operating system. Each API is an interface accessible by a computer software application. Up on entrance, each API determines the current thread identifier, and inserts it into a list if it is not already in the list. Each thread identifier corresponds to an API call counter, which is incremented by one at the entrance and decremented by one at the exit point of the API. The SDK also records the identifier of the thread it creates for callback functions. When a crash occurs, the crash handler is executed. It determines that the crash is related to a callback interface if the crash thread identifier matches the callback thread identifier. The crash is determined to be caused by the SDK if the API call counter corresponding to the crash thread identifier is greater than zero.

An improved SDK includes a set of APIs and a crash handler registered with the operating system. Each API is an interface accessible by a computer software application. Up on entrance, each API determines the current thread identifier, and inserts it into a list if it is not already in the list. Each thread identifier corresponds to an API call counter, which is incremented by one at the entrance and decremented by one at the exit point of the API. The SDK also records the identifier of the thread it creates for callback functions. When a crash occurs, the crash handler is executed. It determines that the crash is related to a callback interface if the crash thread identifier matches the callback thread identifier. The crash is determined to be caused by the SDK if the API call counter corresponding to the crash thread identifier is greater than zero.

A method, system, and computer program product for implementing automated system capacity optimization is provided. The method includes retrieving from plug-in components running on a plurality of hardware and software sources, metrics data associated with the plug-in components. The metrics data is cross-referenced with respect to operational sizing recommendations for each plug-in component based on aggregated disparate sizing guidelines and resulting software code modules are generated. Software and hardware requirements for enabling target computing components are determined based on results of executing the software code modules and operational functionality of the target computing components are enabled in accordance with the software and hardware requirements.

A method, system, and computer program product for implementing automated system capacity optimization is provided. The method includes retrieving from plug-in components running on a plurality of hardware and software sources, metrics data associated with the plug-in components. The metrics data is cross-referenced with respect to operational sizing recommendations for each plug-in component based on aggregated disparate sizing guidelines and resulting software code modules are generated. Software and hardware requirements for enabling target computing components are determined based on results of executing the software code modules and operational functionality of the target computing components are enabled in accordance with the software and hardware requirements.

A method for automatically enhancing security and fixing security vulnerabilities in the source code of a computer program in an object oriented run time environment includes evaluating the source code file of a monitored computer program. The source code file includes a plurality of class files. Each session includes two or more session segments. A security assessment on each of the plurality of class files is performed to identify one or more potential security issues associated with the plurality of class files. One or more security controls configured to address the identified potential security issues are automatically injected into a source code of one or more class files identified as having potential security issues. The automatically modified source code file of the monitored computer program is deployed to the run-time environment.

A method for automatically enhancing security and fixing security vulnerabilities in the source code of a computer program in an object oriented run time environment includes evaluating the source code file of a monitored computer program. The source code file includes a plurality of class files. Each session includes two or more session segments. A security assessment on each of the plurality of class files is performed to identify one or more potential security issues associated with the plurality of class files. One or more security controls configured to address the identified potential security issues are automatically injected into a source code of one or more class files identified as having potential security issues. The automatically modified source code file of the monitored computer program is deployed to the run-time environment.

The disclosure provides a data transmission device. The data transmission device includes a storage medium, a processor and a communication interface. The storage medium is configured to store a plurality of applications. The processor is coupled to the storage media and configured to determine a host application among the plurality of applications, where the host application includes a software development kit (SDK) program, and executes the SDK program of the host application to request behavior data of the plurality of applications. The communication interface is coupled to the processor and is configured to transmit the behavior data to a server.