Abstract: A method, system, and computer program product for class verification are provided. The method includes initiating loading of a class, and searching for the class in verification caches. A record from the verification caches, including a checksum, is returned upon locating the class. The method further includes comparing the checksum in the record to a checksum of the class being loaded, and completing the loading of the class when the checksums match. The method additionally includes performing bytecode verification of the class upon one of: a checksum comparison mismatch, and a failure to locate the class in the verification caches. The method also includes calculating a new checksum of the class upon a successful bytecode verification, and storing the new checksum in the verification caches.

Abstract: A method for compensating for disruption caused by trace enablement is provided. The method includes receiving a selected target to run a program, receiving a selected program that has been identified as having a problem, and receiving a selected trace type. The method also includes enabling a trace compensator for identifying non-critical code in the selected program. The non-critical code is determined by the trace type. The method further includes running the program with a trace to identify the problem, the trace compensator causing the program to suppress the non-critical code for problem reproduction to adjust for timing discrepancies.

Abstract: A method, system, and computer program product for optimizing virtual machine (VM) memory consumption are provided. The method includes monitoring VM accesses to a plurality of objects in a heap, and identifying a dead object among the objects in the heap. The method also includes copying the dead object to a data storage device as a serialized object, and replacing the dead object in the heap with a loader object. The loader object is smaller than the dead object and includes a reference to the serialized object.

Abstract: The present invention a synchronous peer to peer transfer model that utilizes all available network bandwidth to deploy application code to an entire cluster as fast as it can be sent to one machine. A method in accordance with an embodiment of the present invention includes: determining a number N of simultaneous connections that should be opened to the cluster members to maximize network bandwidth; and synchronously deploying the application to the cluster members using the N simultaneous connections.

Abstract: A method for capturing and converting legacy applications into a Business Process Execution Language (BPEL) model supporting a Service Oriented Architecture (SOA), the method comprising: starting a recorder for recording the legacy applications; mapping the plurality of variables of the legacy applications to a plurality of fields and to a plurality of sub-fields of the BPEL model; highlighting and identifying the plurality of fields and the plurality of sub-fields; identifying and generating partner links; identifying additional input variables of the legacy applications; mapping the additional input variables of the legacy applications to arbitrary variables; repeating the previous steps until an end result is generated; and ending the recorder.

Abstract: The “API Usage Tool” (AUT) comprises an Interactive Developer Environment Plug-in (IDEP) and a Web Service Component (WSC). The IDEP opens the source code file containing API method calls, identifies the API method calls in the source code, and saves the identified API method calls to an API usage log. The WSC searches API usage data sheets for usage, best practices and known bugs for each identified API method call. The WSC generates an API usage compilation based on the identified API method calls. The IDEP compares the API usage compilation to the dynamic data in the usage log, looking for conflicts between the compiled usage and the actual usage in the source code. The IDEP marks any API method calls in the source code that do not comport with the compiled usage guidelines.