Abstract: Methods and systems for automatically synthesizing product information from multiple data sources into an on-line catalog are disclosed, and in particular, for automatically synthesizing the product information based on attribute-value pairs. Information for a product may be obtained, via entity extraction, feed ingestion, and other mechanisms, from a plurality of structured and unstructured data sources having different taxonomies and schemas. Product information may additionally or alternatively be obtained or derived based on popularity data. The product information may be cleansed, segmented and normalized. The product information may be clustered so closest products, attribute names and attribute values are associated. A representative value for an attribute name may be determined, and the on-line catalog may be updated so that entries are comprehensive, meaningful and useful to a catalog user.

Abstract: Described is a technology in which test case content in the form of a web application is provided to a client browser from a test case management system over a web server. Results of running the test case are similarly communicated back. This allows different web application test harnesses to be run on whatever Internet browser the client computing device is running, and is independent of any operating system. The client registers with the test case management system through the website, and receives a browser identifier for use in future communications. In one protocol, the client uses the identifier in heartbeats sent to the test case management system, including a heartbeat indicating when the client is available to run a test case, when the test case is complete, and the results of performing the test case. Also described are various interfaces that facilitate component communication.

Abstract: Technology is described for transformation rule profiling for a query optimizer. The method can include obtaining a database query configured to be optimized by the query optimizer of a database system. An optimized query plan for the database query can be found using a host set of transformation rules. One transformation rule can be removed and checked at a time. Each transformation rule can be checked to determine whether the transformation rule affects an optimal query plan output. A test query plan can be generated after each transformation rule has been removed. The query optimizer can determine whether the test query plan is different than the optimized query plan in the absence of the removed transformation rule. An equivalent set of transformation rules can be created that includes transformation rules where the test query plan generated from the equivalent set of transformation rules is equivalent to the optimized plan.