Analysis and Testing of Distributed Software Applications
Software developers and application programmers now have the tools to exploit the processing power of multi-processor installations that provide fault-tolerance and reliability whenever safety-critical application problems are to be solved. This book takes a new look at the testing of such tools, combining static and dynamic analyses. This allows for effective handling of interactive design of testing scenarios, on-and off-line evaluation of test outcomes, visualisation, testability improvement and creating a framework for quality testing.
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Quality of DSA Software
Static Analysis of DSA
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22 racv 42 axit actions algorithm application assessment assignment axit Q bipartite graph breakpoint CBuf client-server COCOMO communication buffer communication events communication statements complexity component process computing environment configuration considered control flow CORBA debugger defined detection distributed DSA program DSA software dynamic analysis errors evaluation example fault function call graph input interaction interface interprocess communication involves master process metrics modules monitoring node objects operations parallel path PDP platform performance predicate probe effect problem Procedure processors program behavior program execution program under test programming platforms protocol quality factors racv receive relevant replay representing respective selected sequential server shown in Figure slave process socket sorted vector source code specific static analysis structure symbolic symbolic debugger TCP/IP techniques test scenarios test script testability testing strategies token UNIX values variables various voting