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public void configure() throws CoreException { IProjectDescription description= getProject()getDescription(); ICommand[] commands= descriptiongetBuildSpec(); for (int i = 0; i < commandslength; ++i) if (commands[i]getBuilderName()equals( JUnitPluginAUTO_TEST_BUILDER)) return; ICommand command= descriptionnewCommand(); commandsetBuilderName(JUnitPluginAUTO_TEST_BUILDER); ICommand[] newCommands= new ICommand[commandslength + 1]; Systemarraycopy(commands, 0, newCommands, 0, commandslength); newCommands[newCommandslength-1]= command; descriptionsetBuildSpec(newCommands); getProject()setDescription(description, null); } We use the same trick to install the builder that we did to install the nature If the builder is already present, we stop Then we copy the current list of builders into a new array and add our new builder (an instance of ICommand) We are careful here to install our builder as the last, so the programs will have been compiled before we try to run them The method deconfigure() is similar, removing the builder from the list of build commands Once again, before we can successfully install the builder, we must declare it as an extension The declaration looks a lot like the nature declaration:

Instead, it depends on a group of nodes, expecting at least one member of this group to probabilistically deliver the gossip to it The gossip probabilities chosen at each node is therefore a function of the group size Based on this intuition, nodes promiscuously overhear broadcast messages and extract information by applying simple rules and thereby deduce whether the sender of the message is a parent, child or a sibling A child node, on identifying its parent set, calculates the probability with which it thinks its parents are required to send, and it announces this probability by piggybacking it on every gossip it forwards A parent node overhears such announcements and assumes its gossip probability to be the maximum of all the announced probabilities 35.

<extension point="orgeclipsecoreresourcesbuilders" id="autoTestBuilder" name="Auto Test Builder"> <builder> <run class="orgeclipsecontributionjunitAutoTestBuilder"/> </builder> </extension>

2 Epidemic Routing The authors in reference 19 introduce epidemic routing for partially connected ad hoc networks where pairwise exchanges of messages among mobile hosts in a random manner ensure the eventual message delivery to the destination node The prominent goals of epidemic routing are to (i) maximize message delivery rate, (ii) minimize message latency, and (iii) minimize the total resources consumed in message delivery Existing ad hoc routing protocols assume that there is a connected path from source to destination However, with the emergence of short-range wireless communication environments (eg, Bluetooth [31]) and the wide area over which such networks are deployed, this assumption is not always a realistic one Unfortunately, the current ad hoc routing protocols are heavily dependent on consistent network connectivity to deliver packets between the source and the destination and generally fail in the presence of network partitions.

But although the objectives of acquisitions are financial, the implications are personal Nevertheless, deal makers focus only on the balance sheet, economies of scale, and market share, with very little discussion of the impact on the people of both organizations No wonder that as people look back at deals completed in the past decade, not that many have succeeded as planned Although it is true that the failure of these mergers derives from many causes, including unforeseen marketplace changes, debt load, and other factors, the most often overlooked cause the human element is frequently the real culprit That is because the merging of two cultures is a lot harder to do than people think THE HUGE ISSUE OF CULTURE Defining culture is just as difficult as trying to manage it Teamwork, vision, pay, benefits these all affect a company s culture.

At the same time, several applications based on a.

The test case will now pass Now we're ready for the real end-to-end test case save a failing test and watch it fail immediately, invoked by the builder

mobile sensor network exist, where there are frequent and numerous formations of network partitions In reference 19, the authors develop techniques for delivering application data with a high probability even when there is never a fully connected path between the source and destination The main essence of their approach is to distribute data to connected hosts of the network, whom they call carriers; and depending on node mobility, the carriers can establish contact with other connected portions of the network Through such transitive transmission of data, messages have a high probability of eventually reaching their destination However, with basic random forwarding, the data might be transmitted to a large number of carrier hosts other than the destination that is not desirable.

public void testAutoTesting() throws Exception { IWorkspaceRunnable runnable= new IWorkspaceRunnable() { public void run(IProgressMonitor monitor) throws CoreException { IProject project= testProjectgetProject(); JUnitPlugingetPlugin()addAutoBuildNature(project); IPackageFragment pack= testProjectcreatePackage("pack1"); IType type= testProjectcreateType(pack, "FailTestjava", "public class FailTest extends junitframeworkTestCase{"+ "public void testFailure() {fail();}}"); } }; ResourcesPlugingetWorkspace()run(runnable, null); IMarker[] markers= getFailureMarkers(); assertEquals(1, markerslength); } We wrapped the project creation in a IWorkspaceRunnable to reduce the number of change notifications We call the helper getFailureMarkers() to determine the number of markers We just copied this method from MarkerTest The insights we gain by eliminating duplication in test code are seldom worth the effort, unlike the insights gained from refactoring model code Now we need our builder to run the tests We start by extending IncrementalProjectBuilder, as specified in the extension point documentation: