Microsoft Technology Licensing, LLC

Other

Abhijit Rao

Mikhail Arkhipov

Wai Hang Tang

John S Lyon-Smith

Rahul Gupta

Gregg Bernard Miskelly

Nishchay Kumar

Steven J Steiner

Justin Varacheril George

Sundar Srinivasan

Gregg B Miskelly

Sergey Grankin

Techniques and technologies for cross-device task execution are described. In at least some embodiments, a system includes a processing component configured to: receive device information associated with a networked group of devices; receive user preference information indicating one or more user preferences for performing one or more tasks; receive an indication of a task to be performed; select a designated device of the networked group of devices associated with the user to perform the task based at least partially on the user preference information; and transmit the task to be performed to the designated device.

Cross-device task execution

Initial items can be partitioned into a plurality of partitions. The partitions can be stored in a partitioned list in computer storage. An index to the partitions can be generated. One or more initial items can be invalidated, and additional items can be appended to the partitioned list in a storage space previously occupied by the invalidated initial items. The index can be updated to omit references to the invalidated items, and to include references to the additional items. Also, a slice of an application call tree can be generated from a partition loaded into memory from a log. A representation of the slice can be displayed on a computer display, even before the entire application call tree is generated from the log.

Partitioned list

A system and method for generating a computer program call graph. A profiler may insert probes into a debuggee computer program, the probes generating call trace events. Checkpoints may be performed during execution of the debuggee program, so that a snapshot of the call stack is performed. Call trace events and checkpoint snapshots are logged and serialized. Logged call trace events and checkpoints may be retrieved and used in combination to generate a call graph and a shadow stack. Mechanisms facilitate combining the different sources of debuggee program information and determining whether the call graph and shadow stack are determinate or indeterminate at any time. The mechanisms may provide for improved accuracy of generated call graphs.

Building an application call graph from multiple sources

A system and method for debugging a computer program by using a call graph. A call graph that represents trace events during execution of a debuggee program may be used as input to a system that enables a user to debug the debuggee program. Mechanisms facilitate conditionally forming clusters of event nodes, a cluster indicative of multiple event nodes corresponding to an execution of a source language statement. During a debugging session, in response to a command to perform a step operation, the nodes of a cluster are processed together so that a step corresponds to multiple events if the multiple events correspond to a single source language statement. A mechanism for inspecting variables is provided. Variable values may be selectively propagated and provided based on the call graph and a static control flow analysis of the debuggee program.

Debugging from a call graph

The present invention extends to methods, systems, and computer program products for mapping breakpoints between Web based documents. Embodiments of the invention facilitate extracting corresponding client script blocks from different Web based documents to disassociate the client script blocks with their relative locations within the Web based documents. From the extracted client side script blocks, a position for mapping a breakpoint from one client side script block another client side script block can be determined. The breakpoint is then copied from the one client script block and inserted into the determined position in the other client script block. The client script blocks can then be re-associated with their relative locations in the Web based documents from which they were extracted.

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Seattle, WA, United States of America

Abhijit Rao