Abstract: A device may detect a trigger to perform a benchmarking task. The benchmarking task may include a first benchmarking of a first resource utilization associated with one or more tasks completed via an automated procedure. The benchmarking task may include a second benchmarking of a second resource utilization associated with the one or more tasks completed via a manual procedure. The device may determine project data relating to a project platform based on detecting the trigger to perform the benchmarking task. The device may process the project data relating to the project platform to benchmark the project. The device may generate a recommendation relating to completion of the one or more tasks using the automated procedure or the manual procedure. The device may communicate with one or more other devices to perform a response action based on the recommendation.

Abstract: In some implementations, a device may receive project management data including information related to project elements associated with one or more projects and associations among the project elements associated with the one or more projects. The device may generate one or more data structures representing the project elements associated with the one or more projects and the associations among the project elements associated with the one or more projects. The device may receive a request to visualize project data, wherein the request may indicate a view to use in order to visualize the project data and/or specify criteria related to the project data to be visualized in the view. The device may search the one or more data structures to obtain the project data to be visualized based on the criteria specified in the request. The device may render the project data using the view indicated in the request.

Abstract: A device may communicate with a server to obtain historical ticket data. The device may generate a data model, based on the historical ticket data. The device may communicate with a client device to obtain ticket data relating to an issue associated with a project. The device may classify, using the data model, the ticket data into a ticket type. The device may generate, using the data model and based on the ticket type, a set of recommended resolutions for resolving the issue associated with the project. The device may select, from the set of recommended resolutions, a particular resolution based on a set of selection criteria. The device may automatically perform one or more actions to implement the particular resolution to resolve the issue associated with the project.

Abstract: A device may identify a tool operating on a first device for integration into a lifecycle management platform operating on a second device. The tool may be associated with providing a functionality not included in the lifecycle management platform. The first device may be external to the second device. The device may determine a set of tool attributes for data events associated with the tool. The data events may include a data input, a data output, a new message, an updated message, a deleted message, or the like. The device may select a message format based on the set of tool attributes. The device may configure adaptation for a tool application programming interface (API) of the tool and a platform API of the lifecycle management platform based on the message format. The device may provide information associated with configuring adaptation for the tool API and the platform API.

Abstract: A device may identify a tool operating on a first device for integration into a lifecycle management platform operating on a second device. The tool may be associated with providing a functionality not included in the lifecycle management platform. The first device may be external to the second device. The device may determine a set of tool attributes for data events associated with the tool. The data events may include a data input, a data output, a new message, an updated message, a deleted message, or the like. The device may select a message format based on the set of tool attributes. The device may configure adaptation for a tool application programming interface (API) of the tool and a platform API of the lifecycle management platform based on the message format. The device may provide information associated with configuring adaptation for the tool API and the platform API.

Abstract: A device may communicate with a server to obtain historical ticket data. The device may generate a data model, based on the historical ticket data. The device may communicate with a client device to obtain ticket data relating to an issue associated with a project. The device may classify, using the data model, the ticket data into a ticket type. The device may generate, using the data model and based on the ticket type, a set of recommended resolutions for resolving the issue associated with the project. The device may select, from the set of recommended resolutions, a particular resolution based on a set of selection criteria. The device may automatically perform one or more actions to implement the particular resolution to resolve the issue associated with the project.

Abstract: A device may communicate with a server to obtain historical ticket data. The device may generate a data model, based on the historical ticket data. The device may communicate with a client device to obtain ticket data relating to an issue associated with a project. The device may classify, using the data model, the ticket data into a ticket type. The device may generate, using the data model and based on the ticket type, a set of recommended resolutions for resolving the issue associated with the project. The device may select, from the set of recommended resolutions, a particular resolution based on a set of selection criteria. The device may automatically perform one or more actions to implement the particular resolution to resolve the issue associated with the project.

Abstract: A device may identify a tool operating on a first device for integration into a lifecycle management platform operating on a second device. The tool may be associated with providing a functionality not included in the lifecycle management platform. The first device may be external to the second device. The device may determine a set of tool attributes for data events associated with the tool. The data events may include a data input, a data output, a new message, an updated message, a deleted message, or the like. The device may select a message format based on the set of tool attributes. The device may configure adaptation for a tool application programming interface (API) of the tool and a platform API of the lifecycle management platform based on the message format. The device may provide information associated with configuring adaptation for the tool API and the platform API.

Abstract: A device may detect a trigger to perform a benchmarking task. The benchmarking task may include a first benchmarking of a first resource utilization associated with one or more tasks completed via an automated procedure. The benchmarking task may include a second benchmarking of a second resource utilization associated with the one or more tasks completed via a manual procedure. The device may determine project data relating to a project platform based on detecting the trigger to perform the benchmarking task. The device may process the project data relating to the project platform to benchmark the project. The device may generate a recommendation relating to completion of the one or more tasks using the automated procedure or the manual procedure. The device may communicate with one or more other devices to perform a response action based on the recommendation.

Abstract: A device may communicate with a server to obtain historical ticket data. The device may generate a data model, based on the historical ticket data. The device may communicate with a client device to obtain ticket data relating to an issue associated with a project. The device may classify, using the data model, the ticket data into a ticket type. The device may generate, using the data model and based on the ticket type, a set of recommended resolutions for resolving the issue associated with the project. The device may select, from the set of recommended resolutions, a particular resolution based on a set of selection criteria. The device may automatically perform one or more actions to implement the particular resolution to resolve the issue associated with the project.

Abstract: A device receive data regarding a project. The device may automatically evaluate the data using a set of analytics tools. The device may communicate with a client device to provide a virtual agent user interface component based on evaluating the data using the set of analytics tools. The virtual agent user interface component may include information identifying a set of alerts relating to the project and a set of recommendations relating to the set of alerts. The device may receive information indicating that a particular recommendation, of the set of recommendations is to be implemented. The device may communicate with one or more other devices to implement the particular recommendation.

Abstract: One or more computing resources, of a project management platform, may implement a delivery tool layer to provide one or more tools associated with managing portions of a project. The one or more computing resources may implement an integration layer to integrate the one or more tools into the project management platform for the project. The one or more computing resources may implement a data acquisition layer to obtain data regarding the project. The one or more computing resources may implement an automation layer to automate tasks associated with the project. The automation layer may be associated with automating a set of development operations, a set of maintenance operations, a set of management operations, a set of testing operations, or the like. The one or more computing resources may implement an artificial intelligence (AI) layer to process data relating to the project using one or more AI integrations.

Abstract: A device may identify a tool operating on a first device for integration into a lifecycle management platform operating on a second device. The tool may be associated with providing a functionality not included in the lifecycle management platform. The first device may be external to the second device. The device may determine a set of tool attributes for data events associated with the tool. The data events may include a data input, a data output, a new message, an updated message, a deleted message, or the like. The device may select a message format based on the set of tool attributes. The device may configure adaptation for a tool application programming interface (API) of the tool and a platform API of the lifecycle management platform based on the message format. The device may provide information associated with configuring adaptation for the tool API and the platform API.

Abstract: A device receive data regarding a project. The device may automatically evaluate the data using a set of analytics tools. The device may communicate with a client device to provide a virtual agent user interface component based on evaluating the data using the set of analytics tools. The virtual agent user interface component may include information identifying a set of alerts relating to the project and a set of recommendations relating to the set of alerts. The device may receive information indicating that a particular recommendation, of the set of recommendations is to be implemented. The device may communicate with one or more other devices to implement the particular recommendation.