Abstract: A cluster of devices can be identified where results from executing a test by any cluster devices can be considered as being from the same device. Thus, instead of waiting for a single device to produce comparable results, multiple devices from the same cluster can simultaneously perform the test and obtain the needed set of test results more quickly. The technology can identify clusters of devices that are all similar to a primary cluster device. A device pair can be considered similar when (1) a mean each of a set of test results from each device are within a first threshold of each other, (2) a measurement of the consistency of each test result set are within a second threshold of each other, and (3) a measurement of the consistency of a combination of the test results sets is between the consistency measurements of the individual test result sets.

Abstract: A cluster of devices can be identified where results from executing a test by any cluster devices can be considered as being from the same device. Thus, instead of waiting for a single device to produce comparable results, multiple devices from the same cluster can simultaneously perform the test and obtain the needed set of test results more quickly. The technology can identify clusters of devices that are all similar to a primary cluster device. A device pair can be considered similar when (1) a mean each of a set of test results from each device are within a first threshold of each other, (2) a measurement of the consistency of each test result set are within a second threshold of each other, and (3) a measurement of the consistency of a combination of the test results sets is between the consistency measurements of the individual test result sets.

Abstract: Techniques for managing discussion sharing on a mobile platform, comprising a power application. The power application may include, among other components, a power monitoring component to monitor at least one component and/or at least one application of a mobile device to determine device profile information, and a power management component to provide the determined device profile information of a mobile device to a server device and receive predicted information representative of forecasted power utilization of the mobile device and/or context sensitive recommendation information representative of one or more context sensitive recommendations for the mobile device.

Abstract: Techniques for managing discussion sharing on a mobile platform, comprising a power application. The power application may include, among other components, a power monitoring component to monitor at least one component and/or at least one application of a mobile device to determine device profile information, and a power management component to provide the determined device profile information of a mobile device to a server device and receive predicted information representative of forecasted power utilization of the mobile device and/or context sensitive recommendation information representative of one or more context sensitive recommendations for the mobile device.

Abstract: Techniques for managing discussion sharing on a mobile platform, comprising a power application. The power application may include, among other components, a power monitoring component to monitor at least one component and/or at least one application of a mobile device to determine device profile information, and a power management component to provide the determined device profile information of a mobile device to a server device and receive predicted information representative of forecasted power utilization of the mobile device and/or context sensitive recommendation information representative of one or more context sensitive recommendations for the mobile device.

Abstract: A method of detecting runtime errors relating to a stack of a computer program can include during compilation of the computer program, inserting dummy variables between declarations in the stack. During execution of the computer program, if at least one of the dummy variables is accessed, a determination can be made that a runtime memory access error has occurred.

Abstract: Embodiments of the present invention provide a computing system and method to profile a program for finding potential optimization in heap usage by reducing lag and drag in lifetimes of heap memory blocks. The process consists of three steps. First, an instrumentation engine analyzes a given program and inserts additional code at interesting locations to collect needed information. Second, when the instrumented program is executed on a set of test cases, runtime data is collected. Third, since this data is large for a complex and long running program, data is processed to present it to a user in useful ways so that a programmer improves the heap utilization in the program.

Abstract: This disclosure provides a computing system and method to profile a program for finding potential optimization in heap usage by reducing lag and drag in lifetimes of heap memory blocks. The process consists of three steps. First, an instrumentation engine analyzes a given program, and inserts additional code at interesting locations to collect needed information. Second, when the instrumented program is executed on a set of test cases, runtime data is collected. Third, since this data could be relatively large for a complex and long running program, data is processed to present it to a user in useful ways so that the programmer can improve the heap utilization in the program.

Abstract: This disclosure provides a computing system and method to profile a program for finding potential optimization in heap usage by reducing lag and drag in lifetimes of heap memory blocks. The process consists of three steps. First, an instrumentation engine analyzes a given program, and inserts additional code at interesting locations to collect needed information. Second, when the instrumented program is executed on a set of test cases, runtime data is collected. Third, since this data could be relatively large for a complex and long running program, data is processed to present it to a user in useful ways so that the programmer can improve the heap utilization in the program.

Abstract: A method and system to identifying the use of dangling pointers in software instrumentation irrespective of the location of the pointer in the memory. The main memory is preferably segmented into three parts defined as a first memory, a version segment and a pointer version segment. By use of the version segment and pointer version stored in the pointer version segment, checksum are made on a pointer version with a version on dereferencing a pointer in the first memory to identify references to a dangling pointer on negative determination. Identified dangling pointer may be reported to the end user.

Abstract: This disclosure provides a computing system and method to profile a program for finding potential optimization in heap usage by reducing lag and drag in lifetimes of heap memory blocks. The process consists of three steps. First, an instrumentation engine analyzes a given program, and inserts additional code at interesting locations to collect needed information. Second, when the instrumented program is executed on a set of test cases, runtime data is collected. Third, since this data could be relatively large for a complex and long running program, data is processed to present it to a user in useful ways so that the programmer can improve the heap utilization in the program.

Abstract: A method and system to identifying the use of dangling pointers in software instrumentation irrespective of the location of the pointer in the memory. The main memory is preferably segmented into three parts defined as a first memory, a version segment and a pointer version segment. By use of the version segment and pointer version stored in the pointer version segment, checksum are made on a pointer version with a version on dereferencing a pointer in the first memory to identify references to a dangling pointer on negative determination. Identified dangling pointer may be reported to the end user.

Abstract: A method of detecting runtime errors relating to a stack of a computer program can include during compilation of the computer program, inserting dummy variables between declarations in the stack. During execution of the computer program, if at least one of the dummy variables is accessed, a determination can be made that a runtime memory access error has occurred.