Abstract: Embodiments provide systems and methods configured to mine information available from informal sources (e.g., social media, blogs, and forums) regarding security vulnerabilities. Particular embodiments may comprise engine(s) of a backend in communication with a user through an interface of a frontend, and also in communication with an underlying database to store security information and related information (e.g. search parameters). Embodiments may allow creation of user-specific search phrases for searching information in one or more informal social media information sources. Search results may be consolidated, and users such as system administrators quickly alerted to possible security issues. Embodiments may refine data mining over time by tracking the reputation (e.g. for data accuracy, freshness) of various sources. Embodiments may also reference formal official and third party sources of security information.

Abstract: A component selector may select a first software component stored in a software component library in conjunction with a first annotation, the first annotation being linked to a second annotation of a second software component via a link. An evaluation engine may evaluate a property expressed by the first annotation relative to a requirement expressed by the second annotation, and thereby verify compliance of the first software component and the second software component for inclusion within a software application being developed. A component update monitor may re-verify the compliance, based on an update to at least one of the first software component and the second software component.

Abstract: A multi-domain decision manager facilitates software development of a software application across knowledge domains, based on relationships between a first knowledge domain and a second knowledge domain. The multi-domain decision manager includes an assessment engine configured to construct a first assessment as an instantiation of a first knowledge base model of the first knowledge domain, and a second assessment as an instantiation of a second knowledge base model of the second knowledge domain. A relationship engine may be configured to characterize relationships between the first assessment and the second assessment, wherein the relationships characterize a likelihood that inclusion of a first selectable assessment option of the first assessment is associated with inclusion of a second selectable assessment option of the second assessment.

Abstract: A progression collector may collect, in conjunction with displayed learning context provided by a learning management system (LMS), first learner progression data of a first learner, and second learner progression data of a second learner. A team aggregator may aggregate the first learner progression data and the second learner progression data into team progression data, and may provide the team progression data to the LMS as virtual learner progression data. A rendering engine may receive progression results processed by the LMS for each of the first learner progression data, the second learner progression data, and the virtual learner progression data representing team progression results.

Abstract: Embodiments provide systems and methods configured to mine information available from informal sources (e.g., social media, blogs, and forums) regarding security vulnerabilities. Particular embodiments may comprise engine(s) of a backend in communication with a user through an interface of a frontend, and also in communication with an underlying database to store security information and related information (e.g. search parameters). Embodiments may allow creation of user-specific search phrases for searching information in one or more informal social media information sources. Search results may be consolidated, and users such as system administrators quickly alerted to possible security issues. Embodiments may refine data mining over time by tracking the reputation (e.g. for data accuracy, freshness) of various sources. Embodiments may also reference formal official and third party sources of security information.

Abstract: Techniques for managing a display of a system architecture include displaying a first visual representation of the system architecture that includes respective virtual representations of at least two components of the system architecture at a first level of detail; displaying a first virtual representation of a semantically relevant connector that extends between the two components of the system architecture at the first level of detail; receiving a request from a user to display a second visual representation of the system architecture; and generating a second visual representation of the system architecture for display, that includes respective virtual representations of the at least two components of the system architecture at a second level of detail different than the first level of detail, and a second virtual representation of the semantically relevant connector that extends between the at least two components of the system architecture at the second level of detail.