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NEW PERFORMANCE ESTIMATION FORMULA FOR evolutionary testing OF SWITCH-CASE CONSTRUCTS

SCALABLE COMPUTING-PRACTICE AND EXPERIENCE 2013年第1期14卷 57-68页

作者： Latiu, Gentiana Ioana Cret, Octavian Augustin Vacariu, Lucia Tech Univ Cluj Napoca Comp Sci Dept 26-28 George Baritiu St Cluj Napoca 400027 Romania

evolutionary structural testing is a technique that uses sp ecific approaches based on guided searches algorithms. It involves evaluating fitness functions to determine wheth er test data satisfy or not various structural testing crite ria. For testing multi-way decision constructs the nested If-Then-Else structure and Alternative Critical Branches (ACBs) approa ches are generally used. In this paper a new evolutionary structural approach b ased on Compact and Minimized Control Flow Graph (CMCFG) which uses two different formulas for evaluating the perform ance of test data, is presented. The CMCFG approach is derive d from the concept of Control Flow Graph (CFG). Experiments on different Switch-Case constructs with different nesting levels have demonstrated that CMCFG yields significantly better re sults in finding test data which cover a particular target bra nch in comparison with the previous approaches.

关键词： evolutionary structural testing control flow graph switch case structures fitness function

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Applying Particle Swarm Optimization to Prioritizing Test Cases for Embedded Real Time Software Retesting

Applying Particle Swarm Optimization to Prioritizing Test Ca...

引用

8th IEEE International Conference on Computer and Information Technology

作者： Hla, Khin Haymar Saw Choi, YoungSik Park, Jong Son Department of Computer Engineering Korea Aerospace University South Korea

ISBN: (纸本)9780769532424

In recent years, complex embedded systems are used in every device that is infiltrating our daily lives. Since most of the embedded systems are multi-tasking real time systems, the task interleaving issues, dead lines and other factors needs software units retesting to follow the subsequence changes. Regression testing is used for the software maintenance that revalidates the old functionality of the software unit. testing is one of the most complex and time-consuming activities, in which running of all combination of test cases in test suite may require a large amount of efforts. Test case prioritization techniques can take advantage that orders test cases, which attempts to increase effectiveness in regression testing. This paper proposes to use particle swarm optimization (PSO) algorithm to prioritize the test cases automatically based on the modified software units. Regarding to the recent investigations, PSO is a multi-object optimization technique that can find out the best positions of the objects. The goal is to prioritize the test cases to the new best order, based on modified software components, so that test cases, which have new higher priority, can he selected in the regression testing process. The empirical results show that by using the PSO algorithm, the test cases can be prioritized in the test suites with their new best positions effectively and efficiently.

关键词： embedded system real time software system test case coverage evolutionary structural testing regression testing and particle swarm optimization

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