Abstract: Methods and systems for an intelligent technical debt helper may include receiving, via a processor, a level of technical debt associated with a technical debt of a computer program code and determining, via the processor, whether the level of technical debt is greater than a technical debt threshold. The method may also include generating, using an artificial intelligence neural network model communicatively coupled to the processor and based on the computer program code, an automated code recommendation to address the technical debt of the computer program code when the level of technical debt is greater than the technical debt threshold.

Abstract: Systems and methods in accordance with embodiments of the invention can automatically track the creation of documents, such as source code files and unit tests, along with the development of those documents. A variety of metrics can be generated regarding errors and issues identified during the development process along with predictive metrics regarding potential issues within the documents. These metrics can be used to identify common issues, automatically generate proactive suggestions to avoid issues during document creation and testing, and/or generate developer profiles indicating the performance of particular developers. A variety of machine learning classifiers can be used to generate the metrics.

Abstract: Methods, computer-readable media, software, and apparatuses may determine source code keywords via analysis of a source code file, map the source code keywords to test keywords, based on a similarity between the source code keywords and the test keywords, wherein the test keywords are associated with test cases, and cause execution of one or more of the test cases. Artificial intelligence driven testing utilizes artificial intelligence in analysis of source code and may automatically select and perform tests on the source code based on results of the analysis.

Abstract: Apparatuses, systems, and methods are provided for interfacing a roadway obstacle and navigation system with an obstacle identification and route determination system to identify roadway obstacles based on vehicular data. The roadway obstacle and navigation system may receive vehicular data through sensor utilization and communications with electronic devices. The vehicular data may be analyzed by the roadway obstacle and navigation system in conjunction with the obstacle identification and route determination system to identify roadway obstacles. The roadway obstacle and navigation system may use the roadway obstacles to provide safety alerts to drivers.

Abstract: Telematics and external data relating to real-time driving of a population of drivers may be collected and used to calculate a driving pattern map. The driving pattern map is used to determine a driving quotient for individual drivers wherein the driving quotient is a relative score. The driving quotient may be displayed to the driver.

Abstract: Telematics and external data relating to the real-time driving of a population of drivers vehicle may be collected and used to calculate a driving pattern map. The driving pattern map is used to determine a driving quotient for individual drivers wherein the driving quotient is a relative score. The driving quotient may be displayed to the driver.

Abstract: Systems and methods are disclosed for automatically assessing and conforming software development modules to accessibility guidelines in real-time. The systems may facilitate an incremental development of applications. One or more modules or base codes of the application, as they are developed, may be tested for compliance to various accessibility standards (e.g., Web Content Accessibility Guidelines 2.0). If a module or base does not meet a specific threshold of compliance, systems and methods allow for an automatic modification of the module or base code to make it more compliant to the accessibility standards.

Abstract: Apparatuses, systems, methods, and computer-readable media are provided for analyzing an incoming telephonic event (e.g., call, message, and/or notification) to a mobile device during operation of a vehicle in relation to a combination of factors to determine if the incoming telephonic event is to be allowed to be received during vehicle operation. The mobile device may receive the incoming telephonic event during operation of the vehicle. An incoming telephonic event analysis application operating on the mobile device may apply a soft block preventing the incoming telephonic event from being displayed on the mobile device. Based on the incoming telephonic event data, vehicle operational data, user preferences, hands-free device activation, and driver and road ratings, the incoming telephonic event analysis application may determine whether or not to maintain the soft block or allow the incoming telephonic event to be displayed on the mobile device during operation of the vehicle.

Abstract: Systems and methods in accordance with embodiments of the invention can automatically track the creation of documents, such as source code files and unit tests, along with the development of those documents. A variety of metrics can be generated regarding errors and issues identified during the development process along with predictive metrics regarding potential issues within the documents. These metrics can be used to identify common issues, automatically generate proactive suggestions to avoid issues during document creation and testing, and/or generate developer profiles indicating the performance of particular developers. A variety of machine learning classifiers can be used to generate the metrics.

Abstract: Apparatuses, systems, methods, and computer-readable media are provided for analyzing an incoming telephonic event (e.g., call, message, and/or notification) to a mobile device during operation of a vehicle in relation to a combination of factors to determine if the incoming telephonic event is to be allowed to be received during vehicle operation. The mobile device may receive the incoming telephonic event during operation of the vehicle. An incoming telephonic event analysis application operating on the mobile device may apply a soft block preventing the incoming telephonic event from being displayed on the mobile device. Based on the incoming telephonic event data, vehicle operational data, user preferences, hands-free device activation, and driver and road ratings, the incoming telephonic event analysis application may determine whether or not to maintain the soft block or allow the incoming telephonic event to be displayed on the mobile device during operation of the vehicle.

Abstract: Systems and methods in accordance with embodiments of the invention can automatically track the creation of documents, such as source code files and unit tests, along with the development of those documents. A variety of metrics can be generated regarding errors and issues identified during the development process along with predictive metrics regarding potential issues within the documents. These metrics can be used to identify common issues, automatically generate proactive suggestions to avoid issues during document creation and testing, and/or generate developer profiles indicating the performance of particular developers. A variety of machine learning classifiers can be used to generate the metrics.

Abstract: Telematics and external data relating to the real-time driving of a population of drivers vehicle may be collected and used to calculate a driving pattern map. The driving pattern map is used to determine a driving quotient for individual drivers wherein the driving quotient is a relative score. The driving quotient may be displayed to the driver.

Abstract: Systems and methods in accordance with embodiments of the invention can automatically track the creation of documents, such as source code files and unit tests, along with the development of those documents. The document creation and development workflow can be automatically validated against a defined set of standards to ensure that the documents are properly created. The review of the documents can also be automatically validated to ensure that the review process is properly completed. A variety of metrics can be generated regarding errors and issues identified during the validation processes. These metrics can be used to identify common issues, automatically generate proactive suggestions to avoid issues during document creation and testing, and/or generate developer profiles indicating the performance of particular developers.

Abstract: Telematics and external data relating to the real-time driving of a population of drivers vehicle may be collected and used to calculate a driving pattern map. The driving pattern map is used to determine a driving quotient for individual drivers wherein the driving quotient is a relative score. The driving quotient may be displayed to the driver.

Abstract: Apparatuses, systems, and methods are provided for interfacing a roadway obstacle and navigation system with an obstacle identification and route determination system to identify roadway obstacles based on vehicular data. The roadway obstacle and navigation system may receive vehicular data through sensor utilization and communications with electronic devices. The vehicular data may be analyzed by the roadway obstacle and navigation system in conjunction with the obstacle identification and route determination system to identify roadway obstacles. The roadway obstacle and navigation system may use the roadway obstacles to provide safety alerts to drivers.

Abstract: Systems and methods in accordance with embodiments of the invention can automatically track the creation of documents, such as source code files and unit tests, along with the development of those documents. The document creation and development workflow can be automatically validated against a defined set of standards to ensure that the documents are properly created. The review of the documents can also be automatically validated to ensure that the review process is properly completed. A variety of metrics can be generated regarding errors and issues identified during the validation processes. These metrics can be used to identify common issues, automatically generate proactive suggestions to avoid issues during document creation and testing, and/or generate developer profiles indicating the performance of particular developers.

Abstract: Apparatuses, systems, and methods are provided for interfacing a roadway obstacle and navigation system with an obstacle identification and route determination system to identify roadway obstacles based on vehicular data. The roadway obstacle and navigation system may receive vehicular data through sensor utilization and communications with electronic devices. The vehicular data may be analyzed by the roadway obstacle and navigation system in conjunction with the obstacle identification and route determination system to identify roadway obstacles. The roadway obstacle and navigation system may use the roadway obstacles to provide safety alerts to drivers.

Abstract: Systems and methods are disclosed for automatically assessing and conforming software development modules to accessibility guidelines in real-time. The systems may facilitate an incremental development of applications. One or more modules or base codes of the application, as they are developed, may be tested for compliance to various accessibility standards (e.g., Web Content Accessibility Guidelines 2.0). If a module or base does not meet a specific threshold of compliance, systems and methods allow for an automatic modification of the module or base code to make it more compliant to the accessibility standards.

Abstract: Apparatuses, systems, methods, and computer-readable media are provided for analyzing an incoming telephonic event (e.g., call, message, and/or notification) to a mobile device during operation of a vehicle in relation to a combination of factors to determine if the incoming telephonic event is to be allowed to be received during vehicle operation. The mobile device may receive the incoming telephonic event during operation of the vehicle. An incoming telephonic event analysis application operating on the mobile device may apply a soft block preventing the incoming telephonic event from being displayed on the mobile device. Based on the incoming telephonic event data, vehicle operational data, user preferences, hands-free device activation, and driver and road ratings, the incoming telephonic event analysis application may determine whether or not to maintain the soft block or allow the incoming telephonic event to be displayed on the mobile device during operation of the vehicle.

Abstract: Apparatuses, systems, and methods are provided for analyzing an incoming telephonic event (e.g., call, message, and/or notification) to a mobile device during operation of a vehicle in relation to a combination of factors to determine if the incoming telephonic event is to be allowed to be received during vehicle operation. The mobile device associated with a driver of the vehicle may receive the incoming telephonic event during operation of the vehicle. An incoming telephonic event analysis application operating on the mobile device may apply a soft block preventing the incoming telephonic event from being displayed on the mobile device. Based on the incoming telephonic event data, vehicle operational data, user preferences, hands-free device activation, and driver and road ratings, the incoming telephonic event analysis application may determine whether or not to maintain the soft block or allow the incoming telephonic event to be displayed on the mobile device during operation of the vehicle.