Abstract: Systems and methods for application development include predicting a probable set of risks (e.g., security risks, financial risks, legal risks etc.) and risk mitigations for software development or deployment risk management. The system records user activity with respect to assigning risks and risk mitigations to application components. The system utilizes user inputs and characteristics of the modelled application as well as the user inputs and characteristics associated with past development and deployment of similar applications in order to predict a probable set of risks and/or risk mitigation actions.

Abstract: To facilitate distinguishing between topics which belong to the same or similar semantic fields, previously-known domain information is modeled with a bipartite graph. The bipartite graph created for the software security domain indicates a set of risks and a set of mitigation actions. A topic categorization system utilizes the bipartite graph to identify which risks and mitigation actions were discussed in a conversation by first using existing NLP techniques to extract relevant topics from conversation text and subsequently mapping the topics to the bipartite graph. A security assessment report identifying potential security threats and corresponding mitigation actions is generated based on the resulting mappings. Conversation fragments which were extracted and mapped are included in the assessment report.

Abstract: Systems and methods are provided for aiding participants in meaningfully contributing to event online Q&A with minimal loss of attention to the event. As a user is inputting an event contribution fragment, probable event contribution completions are predicted. Based on the predicted event contribution completions, semantically-similar, prior-received event contributions are presented to the user. The user is permitted to act upon the similar contributions in lieu of completing and/or publishing his or her own contribution. For instance, the user may be provided the ability to vote on, comment on, or amend the semantically-similar, prior-received event contribution in lieu of completing and/or publishing his or her own contribution. Upon receiving an indication of a desired user action with respect to a semantically-similar, prior-received event contribution, the user-input event contribution fragment is discarded and the user's action on the prior-received event contribution is published in lieu thereof.

Abstract: Techniques are disclosed herein for implementing risk-adaptive system development. A model generator generates a displayed system model comprising displayed system components. A cycle generator determines a risk management cycle comprising a multiple risk management phases. The cycle generator generates a displayed risk management interface which includes multiple displayed risk management phases that are selected and sequenced within the displayed risk management interface based, at least in part, on the determined risk management cycle. The cycle generator further generates component objects that each correspond to a respective one within a set of the system components that have been selected for risk analysis. A display device displays each of the component objects within a respective one of the displayed risk management phases.

Abstract: A method includes performing operations as follows on a processor: receiving a big data dataset comprising new active data, receiving a request to predict a level of performance with respect to a performance parameter of a data processing system in analyzing the new active data, selecting a machine learning algorithm from a plurality of machine learning algorithms based on the performance parameter to obtain a selected machine learning algorithm, selecting a group of historical metadata from a plurality of groups of historical metadata of datasets that have previously been analyzed using the data processing system to provide a selected group of historical metadata, applying the selected machine learning algorithm to the selected group of historical metadata to generate a model of the selected group of historical metadata, obtaining metadata of the new active data, applying the model to the metadata of the new active data to generate a prediction of the level of performance with respect to the performance para

Abstract: A method includes performing operations as follows on a processor: receiving a description of a plurality of products, each product in the plurality of products having a local geographic feature that is configurable in one of a plurality of geographic configurations, receiving a description of priorities associated with the plurality of products, generating a risk based on the priorities, generating a risk mitigating treatment based on the risk, generating, for each of the plurality of products, a plurality of product localization scores corresponding to the plurality of geographic configurations, respectively, each of the plurality of product localization scores indicating a relative amount of the risk mitigated by the risk mitigating treatment with the local geographic feature having the respective geographic configuration, generating a plurality of global localization scores based on the plurality of product localization scores, each of the plurality of global localization scores corresponding to the plura

Abstract: A method includes performing operations as follows on a processor: receiving an architecture description for a software application that identifies a plurality of generic services, receiving a requirement description for the software application that comprises respective values for a plurality of priority parameters for the software application, and generating a proposal that, for each of the plurality of generic services, identifies a specific cloud service for the respective generic service based on the requirement description.

Abstract: A method includes performing operations as follows on a processor: receiving an architecture description for a software application that identifies a plurality of generic services, receiving a requirement description for the software application that comprises respective values for a plurality of priority parameters for the software application, and generating a proposal that, for each of the plurality of generic services, identifies a specific cloud service for the respective generic service based on the requirement description.