Object-Oriented Integration Testing

2002 ◽  
pp. 331-346
Keyword(s):  
Object Oriented ◽  
Integration Testing

scholarly journals Evolutionary Cost-cognizant Test Case Selection and Prioritization for Object-Oriented Programs

2019 ◽  
Vol 8 (6S3) ◽  
pp. 149-153
Keyword(s):  
Unit Cost ◽  
Object Oriented ◽  
Arbitrary Point ◽  
Regression Testing ◽  
Test Case ◽  
Test Cases ◽  
Test Case Prioritization ◽  
Integration Testing ◽  
Maximum Benefit ◽  
Regression Test

Test case prioritization (TCP) is a software testing technique that finds an ideal ordering of test cases for regression testing, so that testers can obtain the maximum benefit of their test suite, even if the testing process is stop at some arbitrary point. The recent trend of software development uses OO paradigm. This paper proposed a cost-cognizant TCP approach for object-oriented software that uses path-based integration testing. Path-based integration testing will identify the possible execution path and extract these paths from the Java System Dependence Graph (JSDG) model of the source code using forward slicing technique. Afterward evolutionary algorithm (EA) was employed to prioritize test cases based on the severity detection per unit cost for each of the dependent faults. The proposed technique was known as Evolutionary Cost-Cognizant Regression Test Case Prioritization (ECRTP) and being implemented as regression testing approach for experiment.

scholarly journals Integration testing of Object-Oriented and Aspect-Oriented programs: A structural pairwise approach for Java

2009 ◽  
Vol 74 (10) ◽  
pp. 861-878 ◽  
Author(s):  
Otávio Augusto Lazzarini Lemos ◽  
Ivan Gustavo Franchin ◽  
Paulo Cesar Masiero
Keyword(s):  
Object Oriented ◽  
Integration Testing

Test Focus Selection for Integration Testing

2017 ◽  
Vol 27 (08) ◽  
pp. 1145-1166
Author(s):  
Shadi Banitaan ◽  
Kendall E. Nygard ◽  
Kenneth Magel
Keyword(s):  
Object Oriented ◽  
Experimental Results ◽  
Software Systems ◽  
Budget Constraints ◽  
Unit Testing ◽  
Software System ◽  
Integration Testing ◽  
System Testing ◽  
New Approach ◽  
Selection For

Object-oriented software systems contain large number of modules which make unit testing, integration testing, and system testing very difficult and challenging. While the aim of unit testing is to show that individual modules are working properly and the aim of the system testing is to determine whether the whole system meets its specifications, the aim of integration testing is to uncover errors in the interactions between system modules. However, it is generally impossible to test all connections between modules because of time and budget constraints. Thus, it is important to focus the testing on the connections presumed to be more error-prone. The goal of this work is to guide software testers where in a software system to focus when performing integration testing to save time and resources. This paper proposes a new approach to predict and rank error-prone connections. We use method level metrics that capture both dependencies and internal complexity of methods. We performed experiments on several Java applications and used error seeding techniques for evaluation. The experimental results showed that our approach is effective for selecting the test focus in integration testing.

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