Abstract: Risk assessment for a computing system being developed can include receiving a user input specifying a proposed topology for a computing system. The proposed topology is defined by a first software product to be used and an architecture having a first non-functional component. A problem knowledge repository is searched using a processor for records of problems correlated with the proposed topology. A level of risk in implementing the computing system using the proposed topology is calculated according to the searching using the processor.

Abstract: Risk assessment for a computing system being developed can include receiving a user input specifying a proposed topology for a computing system. The proposed topology is defined by a first software product to be used and an architecture having a first non-functional component. A problem knowledge repository is searched using a processor for records of problems correlated with the proposed topology. A level of risk in implementing the computing system using the proposed topology is calculated according to the searching using the processor.

Abstract: The method includes receiving, by one or more computer processors, data that includes at least one of audio data, video data, and optical data. The method further includes identifying, by one or more computer processors, keywords from the received data. The method further includes generating, by one or more computer processes, Internet search terms based upon the identified keywords. In some embodiments, the method further includes searching the Internet based upon the generated Internet search terms.

Abstract: Reliability testing can include determining a transaction time for each of a plurality of transactions to a system under test during the reliability test, wherein the plurality of transactions are of a same type. Forecasts of transaction times can be calculated for the transaction type. The forecasts can be compared with a threshold time using a processor. A remedial action can be implemented responsive to at least one of the forecasts exceeding the threshold time.

Abstract: In response to a user request to promote user-level collaborative content from a first collaborative social interaction computing device to an application-level trackable project activity within a second project management computing device, the user-level collaborative content is transcoded to the application-level trackable project activity configured according to the transcoding with assigned application-level trackable project tasks to be performed by users within the second project management computing device. The users are synchronously allowed to collaboratively advance the application-level trackable project activity by performing the assigned application-level trackable project tasks within the second project management computing device while preventing application-level updates to the user-level collaborative content within the first collaborative social interaction computing device.

Abstract: A processor receives a submission to post to a social media platform, wherein the submission includes content. The processor analyzes the content of the submission. The processor determines an impact of the content of the submission. The processor determines one or more objectives of an impact assessment, wherein each of the one or more objectives is associated with a potential impact. The processor compares the impact of the submission to the one or more objectives, based on the content of the submission which is analyzed. The processor determines an impact assessment, wherein the impact assessment is based on whether the impact meets the one or more objectives, and the processor performs an action based on the impact assessment.

Abstract: Project modeling is conducted using variable defect arrival rate or variable defect rate density parameters. These defect rates may be updated on an iteration by iteration basis and may be used to provide remediation and further project modeling, remediation, and prediction.

Abstract: Reliability testing can include determining a transaction time for each of a plurality of transactions to a system under test during the reliability test, wherein the plurality of transactions are of a same type. Forecasts of transaction times can be calculated for the transaction type. The forecasts can be compared with a threshold time using a processor. A remedial action can be implemented responsive to at least one of the forecasts exceeding the threshold time.

Abstract: Reliability testing can include determining a transaction time for each of a plurality of transactions to a system under test during the reliability test, wherein the plurality of transactions are of a same type. Forecasts of transaction times can be calculated for the transaction type. The forecasts can be compared with a threshold time using a processor. A remedial action can be implemented responsive to at least one of the forecasts exceeding the threshold time.

Abstract: Reliability testing can include determining a transaction time for each of a plurality of transactions to a system under test during the reliability test, wherein the plurality of transactions are of a same type. Forecasts of transaction times can be calculated for the transaction type. The forecasts can be compared with a threshold time using a processor. A remedial action can be implemented responsive to at least one of the forecasts exceeding the threshold time.

Abstract: Historical content corresponding to activity of a user in at least one social networking service is aggregated. The historical content indicates a plurality of collaboration partners with whom the user collaborated via the at least one social networking service in an occupation context. Based on the aggregated historical content, at least one of the collaboration partners can be identified as at least one priority collaboration partner. Whether the user currently is not in a facility where the user works can be automatically determined. Responsive to determining that the user is not in the facility where the user works, a message indicating that the user is not in the facility where the user works can be automatically sent to the at least one priority collaboration partner.

Abstract: Implementing security in social applications includes inferring a closeness level of a connection to a user's profile of a social application based on a closeness policy and implementing a security level individualized to the connection based on the closeness level.

Abstract: In response to a user request to promote user-level collaborative content from a first collaborative social interaction computing device to an application-level trackable project activity within a second project management computing device, the user-level collaborative content is transcoded to the application-level trackable project activity configured according to the transcoding with assigned application-level trackable project tasks to be performed by users within the second project management computing device. The users are synchronously allowed to collaboratively advance the application-level trackable project activity by performing the assigned application-level trackable project tasks within the second project management computing device while preventing application-level updates to the user-level collaborative content within the first collaborative social interaction computing device.

Abstract: A request from a user to promote an item of collaborative content from a first application associated with a collaborative social interaction system to a project activity within a project management system application is detected. The item of collaborative content is transcoded to the project activity within the project management system application. Users within a collaborative environment are allowed to collaboratively advance the project activity within the project management system application. The collaboratively-advanced project activity is reverted back to an updated item of collaborative content within the first application associated with the collaborative social interaction system.

Abstract: Implementing security in social applications includes inferring a closeness level of a connection to a user's profile of a social application based on a closeness policy and implementing a security level individualized to the connection based on the closeness level.

Abstract: Implementing security in social applications includes inferring a closeness level of a connection to a user's profile of a social application based on a closeness policy and implementing a security level individualized to the connection based on the closeness level.

Abstract: Electronic calendar scheduling is provided with information on location-availability of invitees. The scheduling method includes, for instance, initiating scheduling, via an electronic calendar system, a calendar event at a location for an event at a future time. The initiating scheduling includes: identifying one or more invitees to the calendar event; determining, via the electronic calendar system, location availability of the invitee(s) for the event at the future time; and sending a calendar invite to the invitee(s) based, at least in part, on the one or more invitees being location available for the event at the location at the future time. The determining location availability may include ascertaining geographically a scheduled location of an invitee at the future time using the electronic calendar system. Further, schedule location availability information for the invitee(s) at the future time may be viewed to facilitate the scheduling process using the electronic calendar system.

Abstract: Project modeling is conducted using variable defect arrival rate or variable defect rate density parameters. These defect rates may be updated on an iteration by iteration basis and may be used to provide remediation and further project modeling, remediation, and prediction.

Abstract: Project modeling is conducted using variable defect arrival rate or variable defect rate density parameters. These defect rates may be updated on an iteration by iteration basis and may be used to provide remediation and further project modeling, remediation, and prediction.

Abstract: Implementing security in social applications includes inferring a closeness level of a connection to a user's profile of a social application based on a closeness policy and implementing a security level individualized to the connection based on the closeness level.