Abstract: An approach is provided to utilize experiences of a user community to identify software problems and communicate resolutions to such problems. Error reports are received from installed software systems in the user community. From these reports, a set of problematic usage patterns are generated, with each of the usage patterns having a confidence factor that is increased based on the number of problem reports that match the usage pattern. The problematic usage patterns are matched to sections of code corresponding to the installed software system with sections of code being identified with problematic usage patterns having confidence factors greater than a given threshold.

Abstract: A “follow-me” utility runs on each of a plurality devices a person may typically use. This utility monitors applications running on a device and intelligently saves the state of tasks a user is performing. When the follow-me utility detects that the user has initialized another device having the follow-me utility and connectivity to the original device, the utility automatically and transparently creates an environment on the new device so that the user may continue the task at the same point as when he or she last performed the task on the original device. When the user continues a task or starts a new task, the follow-me utility automatically and transparently updates files and task states on any devices having the follow-me utility and connectivity. The follow-me utility may make intelligent task migration decisions based on conditions such as network bandwidth, security policy, location, and device capability.