International Business Machines Corporation

Jeremiah S Swan

Daniel P Craggs

Xin Peng Liu

Yaoqing Gao

Trong Truong

Peter Andrew Nicholls

Steven Cooper

John R MacMillan

Ian Gerald Craggs

Roger Harry Pett

Bing Dong Ma

Kobimanalan Vinayagamoorthy

Hong Liang Han

A trace risk indicator is determined based on statistical analysis of one or more risk factors associated with a portion of code of a computer program being executed. The one or more risk factors include data of at least one source external to the portion of code. Based on the trace risk indicator having a predetermined relationship with respect to a threshold value, tracing is automatically initiated for the portion of code.

Automatically initiating tracing of program code based on statistical analysis

A method for automatic debug session analysis for related work item discovery, is provided. The method includes recording metadata describing a particular debug session associated with a user for a respective work item. The method further includes associating the metadata recorded in the particular debug session with the respective work item. In response to the user working on a new issue, comparing the metadata saved with other work items. In response to identifying a work item with a predetermined level of similar metadata from debug sessions, notifying the user of a potential work item match. In response to not identifying a work item with a predetermined level of similar metadata from debug sessions, refraining from suggesting the new issue for future matches.

Debug session analysis for related work item discovery

A method for testing a composite service is provided. The method may include installing a first debug probe on a first service. The method may include installing a second debug probe on a second service. The method may include executing the composite service, whereby the composite service comprises the first service and the second service. The method may include receiving a first service interaction log and a second service interaction log, whereby the first interaction log records a first plurality of I/O, and whereby the second interaction log records a second plurality of I/O. The method may include generating a global scheduling script based on the first service interaction log and the second interaction log. The method may include sending the first plurality of I/O to the first debug probe and the second plurality of I/O to the second debug probe based on the global scheduling script.

Building and testing composite virtual services using debug automation

A source code is pre-processed to form a pre-processed source code. The source code refers to an external code in a separate file, and the pre-processed source code creates a single file that includes the source code and the external code. The source code is profiled to create profile information identifying a hot portion having a first degree of hotness. A set of environment parameter values is determined to be applicable to a data processing system where the application will execute. At a remote optimizing compiler, a selection of a set of compiler options from a knowledgebase corresponding to the profile information and the set of environment parameter values is caused and an object code resulting from compiling the pre-processed source code using the set of compiler options is obtained. The object code is optimized according to the profile information and the set of environment parameter values.

Optimized compilation using an auto-tuned compiler as a service

An illustrative embodiment of a computer-implemented process for scalable group synthesis receives a group definition, applies a sub-set of conditions to the group definition to form a conditioned group definition, receives a set of entities and populates group membership using the received set of entities and the conditioned group definition, wherein each member responds in the affirmative to the sub-set of conditions.

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Stouffville, Canada

Jeremiah S Swan