scholarly journals TEST SCENARIOS GENERATION USING PATH COVERAGE

2014 ◽  
pp. 98-102
Author(s):  
VIKAS PANTHI ◽  
D. P. MOHAPATRA
Keyword(s):  
Software Testing ◽  
Development Process ◽  
Test Sequence ◽  
Software Development Process ◽  
Automatic Test ◽  
Sequence Generation ◽  
Path Coverage ◽  
Test Sequence Generation ◽  
Test Scenarios ◽  
Edge Coverage

Testing is one of the very important component of software development process. Properly generated test sequences may not only locate the defects in software, but also help in reducing the high cost associated with software testing. It is often desired that test sequences should be automatically generated to achieve required test coverage. Automatic test sequence generation is a major problem in software testing. The aim of this study is to generate test sequences for source code using ModelJunit. ModelJUnit is a extended library of JUnit. We have generate automatic test sequences and some testing criterion coverage such as node coverage, edge coverage and edge pair coverage. This paper describes a systematic test sequence generation technique using the path based approach.

Optimal Test Sequence Generation in State Based Testing Using Cuckoo Search

2012 ◽  
Vol 3 (3) ◽  
pp. 17-32 ◽  
Author(s):  
Praveen Ranjan Srivastava ◽  
Ashish Kumar Singh ◽  
Hemraj Kumhar ◽  
Mohit Jain
Keyword(s):  
Objective Function ◽  
Software Testing ◽  
Heuristic Algorithm ◽  
Cuckoo Search ◽  
State Machine ◽  
Test Sequence ◽  
Optimal Test ◽  
Sequence Generation ◽  
Test Sequence Generation ◽  
State Machine Diagram

The present work describes a method for increasing software testing efficiency by identifying the optimal test sequences in the state machine diagram. The method employs a Meta-heuristic algorithm called Cuckoo Search to investigate best paths in the diagram. It tries to provide a technique for exhaustive coverage with minimal repetition which ensures all transitions coverage and all paths coverage at least once with minimal number of repetitions of states as well as transitions. The algorithm works by maximising an objective function which focuses on most error prone parts of the program so that critical portions can be tested first. State machine diagram is given as input, and Cuckoo Search is performed to generate a list of test sequences as output.

Model-Based Software Testing and Analysis with C#

2007 ◽  
Author(s):  
Jonathan Jacky ◽  
Margus Veanes ◽  
Colin Campbell ◽  
Wolfram Schulte
Keyword(s):  
Software Testing ◽  
Model Based
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