Figure 2. Architecture of Proposed System Proposed system takes input as a java class path and java file to be tested and automatically produce test cases in form of Junit[34][35] System is completely automated and covers all methods in java file.
Only need to provide input as. System approach developed in two phases like a pre-processing phase and a test-data generation phase. JDT makes our static analysis easy because it allows creating an AST visitor for each essential information. An AST is a tree model of an whole program e. AST [37] In this phase AST of java file which is under test modified to call specific method on entering new branch after covering all methods java file get saved and compiled to generate. System performs pre-processing in following steps like, Method Instrumentor and Analyzers.
Method Instrumentor: To instrument the Java file under test, its AST is modified to call a specific method on entering each branch. This method call takes as inputs the branch code and notifies the testing process when the branch is executed.
After the instrumentation, based on the AST, a new version of the Java file under test is saved and compiled to generate its new Java byte code file.
Analyzer: To extract the information required for the problem representation and the instance generator, several assessments of the AST are performed: a. Identify all branches wherein the particular method is called; b. Constant values are saved for strings and each primitive type To simplify the implementation of parsing the Java file under test and exploring the AST, we used the parser provided with Eclipse JDT [36].
JDT makes our static analysis easy because it allows creating an AST visitor node for each requires information. Test Data Generation The test-data generation phase is main aim of system which generate test cases for all methods present in java file and satisfy test coverage. This phase include following steps like, a. Generation of object instances. Call sequence of method. Applying genetic algorithm. Test data generation.
Display Junit test cases. Generation of instances: In object oriented code to call method or constructor we need some instances of classes. Instance generation is main task because sufficient instances needed to cover all branches. Instance generation plays important role in test data generation instance indicates the relationship of an object to its class. In this phase we are considering 3 types of classes a. Atomic class — all string classes as well as primitive types, classes which encapsulate only primitive types are considered Atomic.
Container class- A Container is grouping objects like, List and Array, i. For container class random instance generator is used bound length then it recursively call which randomly select and for other class means-of-instantiation is used.
Simple classes or other classes than container or atomic classes. In this phase we generate instances of class. Algorithm 1. Generation of instances Input- java program file having class is to be instantiated Output- instance of class Step 1. Step 4. In this phase input is java class file to generate all needed elements then consider class type and according to that generated and a mean-of-instantiation is selected.
To generate this set, for a given input class, we use the Java Reflection API [38] to get the means-of- instantiations offered by that class and the open-source library Reflections [39] to get subclasses because subclasses decide which class to instantiate and external factory methods.
Generator of Sequences of Method Calls: Sequence of method calls are required to put the input class in a desirable state to reach a test target. A sequence of method calls on that instance. The sequence of method calls can be split into two steps, a. Putting the input java class instance in an adequate state; b. Achieving the test target. Algorithm 2. Generator of Sequences of Method Calls Input - methods. Output- test data candidate.
Step 1. Step 2. Step 3. Step 5. Genetic Algorithm: GA has steps like population, selection, crossover, and mutation that has been applied in many areas [40]. Adoptive search techniques are does not find the optimal solution at all time, however they often find a very good solution in limit of time [45]. GA is used to produce test data because their robustness for solutions of different test tasks. Randomly generate a population of n individuals; b. Evaluate the fitness f i of each individual i in the population; c.
Exit if a stopping condition is fulfilled; d. Repeat the following steps until n number of offspring have been created: a. From the current population select a pair of parents; b. Create two new offspring and Recombine the two selected parents and; c. Apply mutation on two offspring. Replace the population by new population and return to Step 2.
Test Data Generator: Test-data generation is one of the most costly parts of the software testing phase. Therefore, automating this task can significantly reduce software cost, Algorithm presents the different steps of this component to satisfy the all target branch coverage criterion for a java file under test and generate test cases in Junit format it use JDT which translate the set of test-data into a Java file that contains test cases in Junit format.
Algorithm 3. Analyze java file which is given as input to generate test data. To cover each branch select domain vector. Guide random generation to reach test target.
Cover some uncovered branches. Translate set of test data into java file that contain test cases in Junit format. Junit work based on setting up the test data for a portion of code which can be first tested and then can be implemented.
Features of Junit a. For testing expected results Provides Assertions. Test runners Provides for running tests. Junit tests allow writing code faster which improves quality. Your email address will not be published. Roy Tutorials Technical… Theoretical… Practical…. Setting up a gradle project In your existing gradle based Java project in Eclipse add the below dependencies for Junit in build. Thanks for reading. Leave a Reply Cancel reply Your email address will not be published.
Search for:. Thang Pham Thang Pham I think you're missing the point of a mock. A mock shouldn't implement any logic. Generally it will just return hard coded values based on the test case it's being used in.
Mike: I already implement the logic. I just wonder how to unit test it. It can either be mockito or plain old jUnit. I try to learn the idea. But sounds from your last comment like you've written the logic first First write a test that fails, then make the test pass with real code, then refactor that code so it's cleaner but doesn't do any more than pass the test. Then write another failing test. Mockito is there to help you stub-out complex services that your class depends on. Can you update your question with the classes that are collaborating on this feature?
Can you take a look at them. Add a comment. Active Oldest Votes. Ladlestein Ladlestein 6, 1 1 gold badge 36 36 silver badges 49 49 bronze badges. Yeah, I know that implement test after code does not make a lot of sense, but since this is new to me. Sign up or log in Sign up using Google. Sign up using Facebook. Sign up using Email and Password. Post as a guest Name.
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