Abstract: Techniques allow DevOps personnel to perform incident management for cloud computing environments in a manner that maintains control over restricted data and the data plane. The DevOps personnel do not have access to restricted data or the ability to modify the cloud computing environment to gain access to restricted data. The incident management techniques include executing automatic operations to resolve an incident and allowing DevOps personnel to execute remote operations without providing the DevOps personnel access. A further incident management technique provides DevOps personnel with just-in-time (JIT) access that is limited to a certain level or type of access and limited in time. Still another technique for incident management is using an escort model, in which an escort session between operating personnel and DevOps personnel is established and connected to the cloud computing environment to allow the DevOps personnel access to the production environment while escorted by the operating personnel.

Abstract: Techniques allow DevOps personnel to perform incident management for cloud computing environments in a manner that maintains control over restricted data and the data plane. The DevOps personnel do not have access to restricted data or the ability to modify the cloud computing environment to gain access to restricted data. The incident management techniques include executing automatic operations to resolve an incident and allowing DevOps personnel to execute remote operations without providing the DevOps personnel access. A further incident management technique provides DevOps personnel with just-in-time (JIT) access that is limited to a certain level or type of access and limited in time. Still another technique for incident management is using an escort model, in which an escort session between operating personnel and DevOps personnel is established and connected to the cloud computing environment to allow the DevOps personnel access to the production environment while escorted by the operating personnel.

Abstract: A system and method for facilitating analysis of a software project. Intrinsic measures, activity-based measures, or dynamic measures associated with the project are received, including measures associated with physical program units and logical program units of the project. Mappings between physical program units and logical program units are generated. An architectural diagram including logical program units is received, and may include additional mappings of the logical program units. The mappings are used to roll up measures from physical project units to logical project units, and from logical project units to other logical project units. An overlay diagram is generated, including the rolled up measures. The overlay diagram includes the architectural diagram and a representation of rolled up measures associated with each logical project unit on the diagram. The representations employ a graphic format that facilitates a user determining risk areas of the software project.

Abstract: A system and method for facilitating analysis of a software project. Intrinsic measures, activity-based measures, or dynamic measures associated with the project are received, including measures associated with physical program units and logical program units of the project. Mappings between physical program units and logical program units are generated. An architectural diagram including logical program units is received, and may include additional mappings of the logical program units. The mappings are used to roll up measures from physical project units to logical project units, and from logical project units to other logical project units. An overlay diagram is generated, including the rolled up measures. The overlay diagram includes the architectural diagram and a representation of rolled up measures associated with each logical project unit on the diagram. The representations employ a graphic format that facilitates a user determining risk areas of the software project.

Abstract: Methods, functional components and structures are disclosed for carrying out management of client/server processes operating within separate process spaces within a computer system. The disclosed methods, functional components facilitate and carry out management of client and server processes within a computer system such that a greater degree of control can be exhibited over their execution. An active server component process maintains a list structure identifying each client process that is currently using one of the server component process's interfaces. When a new client references a server, the list structure is augmented to include the system identification (e.g., handle) assigned by the operating system to the client process. A thread within the server process blocks while awaiting a triggering event (e.g., a client process in the list terminates). When the client process terminates, the block on the thread releases and the thread processes the change in client references.

Abstract: A human assisted method of debugging training data used to train a machine learning classifier is provided. The method includes obtaining a classifier training data set. The training data set is then debugged using an integrated debugging tool configured to implement a debugging loop to obtain a debugged data set. The debugging tool can be configured to perform an estimation and simplification step to reduce data noise in the training data set prior to further analysis. The debugging tool also runs a panel of prediction-centric diagnostic metrics on the training data set, and provides the user prediction based listings of the results of the panel of prediction-centric diagnostic metrics.

Abstract: Methods, functional components and structures are disclosed for carrying out management of client/server processes operating within separate process spaces within a computer system. The disclosed methods, functional components facilitate and carry out management of client and server processes within a computer system such that a greater degree of control can be exhibited over their execution. An active server component process maintains a list structure identifying each client process that is currently using one of the server component process's interfaces. When a new client references a server, the list structure is augmented to include the system identification (e.g., handle) assigned by the operating system to the client process. A thread within the server process blocks while awaiting a triggering event (e.g., a client process in the list terminates). When the client process terminates, the block on the thread releases and the thread processes the change in client references.