Abstract: To extract meaningful information that aids in analysis of a web application or web site based on page summarizations without impractical resource demand, statistical modeling is employed to approximately identify pages across web application transactions and predict meaningful content or items of information within the pages. Statistics are collected on a sample of traffic for a web application. The collected statistics are on tokens generated from messages that correspond to web pages. Statistics are collected by message, by transaction, and across the sampling of messages. Descriptive tokens that meaningfully describe a web page and attribute-value pair tokens are scored. Those of the tokens that satisfy selection criteria are selected as a basis for generating extraction rules. Subsequently, the extraction rules are applied to message payloads to efficiently extract descriptive “tags” and attribute-value pairs.

Abstract: A system can be designed that shares transaction data across different organizations while preserving data privacy and anonymizing the source organization. Organizations can enter into an agreement to share transaction data with each other through a trusted data sharing system. The organizations can input user records that include primary and secondary explicit user identifiers into the data sharing system. The data sharing system can correlate explicit user identifiers of a user across organizations via an internal identifier without exposing explicit user identifiers. The data sharing system comprises a data anonymizer agent for each sharing organization. A data anonymizer agent selectively applies anonymization filters to quasi-identifiers in the transaction data based on quasi-identifier type to extend data privacy protection measures to quasi-identifiers without drastically reducing or eradicating the utility of the quasi-identifiers.

Abstract: For each event detected during execution of a monitored application comprising a plurality of application components, a determination is made of which of the plurality of application components corresponds to the detected event. Also, a dependency subgroup that includes the application component that corresponds to the detected event is identified, wherein a dependency subgroup indicates dependencies among a subgroup of the plurality of application components. A location within the dependency subgroup of the application component corresponding to the detected event is determined. An order of correction for the application components determined to correspond to detected events are determined based, at least in part, on the determined location. Correction of the application components determined to correspond to detected events are initiated according to the determined order of correction.

Abstract: A system can be designed that shares transaction data across different organizations while preserving data privacy and anonymizing the source organization. Organizations can enter into an agreement to share transaction data with each other through a trusted data sharing system. The organizations can input user records that include primary and secondary explicit user identifiers into the data sharing system. The data sharing system can correlate explicit user identifiers of a user across organizations via an internal identifier without exposing explicit user identifiers. The data sharing system comprises a data anonymizer agent for each sharing organization. A data anonymizer agent selectively applies anonymization filters to quasi-identifiers in the transaction data based on quasi-identifier type to extend data privacy protection measures to quasi-identifiers without drastically reducing or eradicating the utility of the quasi-identifiers.

Abstract: For each event detected during execution of a monitored application comprising a plurality of application components, a determination is made of which of the plurality of application components corresponds to the detected event. Also, a dependency subgroup that includes the application component that corresponds to the detected event is identified, wherein a dependency subgroup indicates dependencies among a subgroup of the plurality of application components. A location within the dependency subgroup of the application component corresponding to the detected event is determined. An order of correction for the application components determined to correspond to detected events are determined based, at least in part, on the determined location. Correction of the application components determined to correspond to detected events are initiated according to the determined order of correction.

Abstract: A dependency graph is created that indicates dependencies among a plurality of components of an application based, at least in part, on interactions among the plurality of components determined from at least one execution of the application. In response to selection of a first attribute of a plurality of attributes, the plurality of components are differentiated into a first plurality of sets of the plurality of components based, at least in part, on having values in common for the first attribute. Dependencies among the first plurality of sets of components are determined based, at least in part, on the dependency graph. A first attribute based perspective of the application is determined, wherein the first attribute based perspective comprises a graphical container for each of the first plurality of sets of components and graphical connections between the graphical containers corresponding to the dependencies among the first plurality of sets of components.