Abstract: Gathering tenant usage data of server resources. A method includes a server in a cluster providing server resources for one or more tenants of the server. Data is stored in a local usage cache at the server. The data characterizes the resources provided to the one or more tenants of the server. At the server, data stored in the local usage cache is aggregated on a tenant basis, such that data is aggregated for given tenants. The aggregated data is sent to a distributed cache. At the server, aggregated data from other servers in the cluster is received from the distributed cache. The aggregated data from other servers in the cluster is globally aggregated and stored at an aggregated usage cache at the server in the globally aggregated form.

Abstract: In one embodiment, a bug detection system may automatically identify bugs and bug variants in a source code set. The bug detection system 200 may identify automatically a template bug in a source code set 210. The bug detection system 200 may represent automatically the template bug as a bug pattern. The bug detection system 200 may identify a matching bug in the source code set 210 using the bug pattern.

Abstract: Software debugging recommendation technique embodiments are presented that generally entails creating a database of characterized software bug descriptions and providing software debugging recommendations from the database in response to a query. This can employ a two-phased approach in the search for similar software bugs. The first is a search phase that takes a query as input and returns a ranked list of software bug descriptions that match the query. These bug descriptions can contain a mix of structured and unstructured data. The second phase is a related-information phase that uses the output of the first phase to retrieve a set of related recommendations such as for people, source files, functions and binaries.

Abstract: Test suites can be optimized for more efficient software testing. A software program is instrumented and test cases of a test suite are run against the instrumented target binaries. A set of metrics are identified that can be used to capture a test case's execution and behavior and allow pairs of test cases of a test suite to be compared in a quantifiable manner. Metric values for test case pairs are generated and combined to create one or more unique signature values. Signature values are compared to cluster analogous test cases, allowing for, e.g., the association of comparable test cases, the identification of redundant test cases, and the formation of a test suite subset that can effectively test under time constraints.

Abstract: During software development, both before and after release, information may be collected and stored that may provide insight to developers as a generalized service. For example, data from past debugging sessions, source code in various repositories, bug repositories, discussion groups, and various documents may provide relevant information for software developers to fix current problems when this information is coherently matched with the problem. Using various sources, a system may mine the stored data to give the current developer information related to past code development, and reveal why the code changed throughout previous development. Using sophisticated analyses to identify similar code patterns across multiple large software projects, discovering patterns in normal and abnormal uses of particular software interfaces, and employing other mining techniques, a developer may find domain-specific information to facilitate ongoing software development.