Abstract: Aspects of the present disclosure relate to audio/video (A/V) stream functionality verification. A stream segment of a video feed prior to transmission over a network as captured by a transmitting device within a web-based conference can be stored. A stream segment of the video feed after transmission over the network as received by a receiving device within the web-based conference can be stored. The stream segment of the video feed prior to transmission over the network can be compared with the stream segment of the video feed after transmission over the network to determine a video feed quality.

Abstract: A method for modeling a process includes receiving a plurality of graphs representing processes wherein for each graph. A sequence of process steps of the processes are represented as nodes and edges connecting pairs of nodes represent transitions between process steps. A numeric value representative of graph appearance for each of the plurality of received graphs is calculated. Each of the plurality of received graphs is stored within a tree-like data structure according to its corresponding numeric value. Each of the above steps is performed using a computer system.

Abstract: A method for modeling a process includes collecting data pertaining to executed process steps from one or more activity log files. The collected data is parsed to determine a set of process steps that have been performed. An incidence value representing how many times each performed process step follows each of the other performed process steps is determined. A graph representing a model of the executed process by representing each process step that has been performed as a node of the graph and each transition between process steps within each process thread as an edge on the graph is generated. The edges connecting the pairs of nodes are assigned numbers that depend upon the incidence value corresponding to how many times the process step represented by a first node of the pair is followed by the process step represented by a second node of the pair.

Abstract: A system for visualizing a process includes a trace manager receiving a plurality of trace sets, each trace set having a plurality of business process execution traces, each of the business process execution traces being a representation of an individual work flow, a model generator creating a model from each of the trace sets, each model being a directed graph including a work flow of an aggregate of the business process execution traces in a respective trace set, a model comparator extracting a plurality of differences between the models and creating a comparison result based on the plurality of differences, wherein the comparison result is stored to a collaborative system, and a trace set identifier configured to identify a subset of the trace set based on a selected subsection of the model, where the subset of trace set exhibits at least one difference extracted from the selected subsection of the model.

Abstract: A method for predictive analytics for a process includes receiving at least one trace of the process, building a probabilistic graph modeling the at least one trace, determining content at each node of the probabilistic graph, wherein a node represents an activity of the process and at least one node is a decision node, modeling each decision node as a respective decision tree, and predicting, for an execution of the process, a path in the probabilistic graph from any decision node to a prediction target node of a plurality of prediction target nodes given the content.

Abstract: A method for modeling a process includes receiving a plurality of graphs representing processes wherein for each graph. A sequence of process steps of the processes are represented as nodes and edges connecting pairs of nodes represent transitions between process steps. A numeric value representative of graph appearance for each of the plurality of received graphs is calculated. Each of the plurality of received graphs is stored within a tree-like data structure according to its corresponding numeric value. Each of the above steps is performed using a computer system.

Abstract: A method for modeling a process includes collecting data pertaining to executed process steps from one or more activity log files. The collected data is parsed to determine a set of process steps that have been performed. An incidence value representing how many times each performed process step follows each of the other performed process steps is determined. A graph representing a model of the executed process by representing each process step that has been performed as a node of the graph and each transition between process steps within each process thread as an edge on the graph is generated. The edges connecting the pairs of nodes are assigned numbers that depend upon the incidence value corresponding to how many times the process step represented by a first node of the pair is followed by the process step represented by a second node of the pair.

Abstract: Methods, systems, and products are disclosed in which generating evidence of web services transactions are provided generally by receiving in an ultimate recipient web service from an initial sender a request, the request containing a proof of message origin (‘PMO’). The PMO contains an element addressed to the ultimate recipient web service and the element bears a first signature, the first signature having a value. Embodiments also include authenticating the identity of the initial sender; creating a proof of message receipt (‘PMR’) including signing the value of the first signature; sending the PMR to the initial sender, receiving, by the initial sender, the PMR; and saving, by the initial sender, the PMR.

Abstract: A web services framework consists of a modular, extensible stack of XML specifications and standards targeting the emerging infrastructure in which distributed, heterogeneous applications are exposed by different organizations as services on the Internet. These services have their capabilities described and published in a machine readable format.