Efficient state space exploration for parallel test generation

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Title: Efficient state space exploration for parallel test generation
Author: Ramasamy Kandasamy, Manimozhian
Abstract: Automating the generation of test cases for software is an active area of research . Specification based test generation is an approach in which a formal representation of a method is analyzed to generate valid test cases . Constraint solving and state space exploration are important aspects of the specification based test generation . One problem with specification based testing is that the size of the state space explodes when we apply this approach to a code of practical size . Hence finding ways to reduce the number of candidates to explore within the state space is important to make this approach practical in industry . Korat is a tool which generates test cases for Java programs based on predicates that validate the inputs to the method . Various ongoing researches intend to increase the tools effectiveness in handling large state space . Parallelizing Korat and minimizing the exploration of invalid candidates are the active research directions . This report surveys the basic algorithms of Korat , PKorat , and Fast Korat . PKorat is a parallel version of Korat and aims to take advantage of multi -processor and multicore systems available . Fast Korat implements four optimizations which reduce the number of candidate explored to generate validate candidates and reduce the amount of time required to explore each candidate . This report also presents the execution time results for generating test candidates for binary tree , doubly linked list , and sorted singly linked list , from their respective predicates .
URI: http : / /hdl .handle .net /2152 /ETD -UT -2009 -05 -131
Date: 2009-09-03

Citation

Efficient state space exploration for parallel test generation. Master's thesis, The University of Texas at Austin. Available electronically from http : / /hdl .handle .net /2152 /ETD -UT -2009 -05 -131 .

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