International Business Machines Corporation

Balaji Venkata Atyam

Michael C Hollinger

Andrew J Geissler

Nicholas E Bofferding

Venkatesh Sainath

Franck Barillaud

Anita Govindjee

Vishwanatha Subbanna

Matthew F Cali

Sivas Srr

Techniques are disclosed for identifying an optimal set of test cases of a larger test case bucket to execute on a new software release. The release includes one or more patches modifying development code of a previous release of the software, and each test case includes metadata specifying a history of the test case relative to an execution on the previous release. In each patch, it is determined, based on the metadata, whether at a test case targets the development code modified by the patch. Upon determining that the test case targets the development code, a score associated with the test case is incremented. The test cases are prioritized for execution based on score.

Focus area integration test heuristics

Multiple functional domains are identified for controlling a grouping of servers. A controller assigns, to each functional domain of the multiple functional domains, a separate primary server from among the grouping of servers and a separate backup server from among the grouping of servers, wherein for each functional domain the separate primary server is different from the separate backup server based on a separate affinity selection for each functional domain. Responsive to detecting a failure in a particular primary server of the grouping of servers, the controller automatically switches control of a particular functional domain assigned to the particular primary server from the particular primary server to a particular backup server assigned to the particular functional domain.

Dynamically assigning, by functional domain, separate pairs of servers to primary and backup service processor modes within a grouping of servers

A computer-implemented method and system for assessing risk of a software program and software updates to a program to prioritize verification resources, which includes receiving code for a software product for a testing assessment. The code is analyzed according to a risk assessment criteria, and the risk assessment criteria includes risk assessment factors. The risk assessment factors for the code are weighted as part of the criteria. A risk assessment score of the code is determined based on the criteria. Testing resources are allocated in response to the risk assessment score.

Assessing risk of software commits to prioritize verification resources

A computer-implemented method, apparatus, and computer program product are disclosed for optimizing the fractional allocation of a computing resource among multiple partitions in a data processing system. Multiple processing attributes are defined. A policy is generated for a first partition. The policy includes the definition of the processing attributes. Current values are determined for the first partition for the processing attributes. The policy and the current values are then used to determine a fractional portion of the resource to be allocated to the first partition.

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Austin, TX, United States of America

Balaji Venkata Atyam