This modified version of the application is called instrumentation. ).Īfter the detection phase, CoverageScanner inserts the instrumentation statements into the code. After the code is instrumented, CSMES files are generated - these files contain the instrumented code.ĬoverageScanner's principle of code coverage analysis is not to highlight executed source lines, but rather to place marks on execution paths.ĬoverageScanner parses all C++ / C language constructs and detects: executed functions, executed source code lines, execution paths, Boolean expressions which produce different execution paths (if, for, while, switch. Squish Coco preprocesses the source code using the native preprocessor program, during which it inserts instrumentation code and, at the end, it compiles and links the project file, in a similar way to a normal build procedure. CoverageBrowser - This is a GUI tool for visualizing and analyzing code coverage based on the reports generated by running the test suite on an instrumented version of the application. CoverageScanner is a C++ program that-in effect-replaces the usual compiler.ī. When using SquishCoco, it will tell the build tool to use CoverageScanner as the compiler. CoverageScanner - This is a compiler wrapper which feeds instrumented source code to the native compiler. Squish Coco may give a measure of how much of the code is tested.Ī.

This analysis can be used to understand how much of the source code has been hit by tests, which additional tests need to be written, or how the test coverage changed over time. Using the instrumented source code, Squish Coco analyses the source code of the application under test.Įxecuting a test suite against an instrumented application produces data that can be analyzed later. Squish Coco is a coverage tool for C, C#, C++ and Tcl code. This article describes how we can use the Squish Coco application to determine how much the SOAP UI test cases impact the C# code. One way to test the Web Services functionality is by using SOAP UI. In other words, it would be good to know how much the test cases hit the code. At some point, one may be interested in finding out how well-developed the automated test cases which validate the Web Services functionality actually are.

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