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Titlebook: Search Based Software Engineering; 5th International Sy Günther Ruhe,Yuanyuan Zhang Conference proceedings 2013 Springer-Verlag Berlin Heid

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楼主: 不友善
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Cloud Computing and SBSEinnovations within the computing industry, and offers great opportunities for researchers in Search Based Software Engineering (SBSE)..In the same way as the development of large scale electricity generation, the physical centralisation of computing resources that Cloud Computing involves provides o
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On the Application of the Multi-Evolutionary and Coupling-Based Approach with Different Aspect-Classmal possible stubbing cost. To determine such optimal orders an approach based on multi-objective evolutionary algorithms was proposed. It generates a set of good orders with a balanced compromise among different measures and factors that may influence the stubbing process. However, in the literatur
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An Experimental Study on Incremental Search-Based Software Engineeringystems. In such cases, search results may propose changes to the organization of the systems. Extensive changes may be inconvenient for developers, who maintain a mental model about the state of the system and use this knowledge to be productive in their daily business. Thus, a balance between optim
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A Multi-objective Genetic Algorithm to Rank State-Based Test Casescoverage of data flow information, while hopefully detecting faults as early as possible when executing prioritized test cases. The experimental results indicate that our approach is useful and effective: prioritizations quickly achieve maximum data flow coverage and this results in early fault dete
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Validating Code-Level Behavior of Dynamic Adaptive Systems in the Face of Uncertaintyniques are needed to make DASs more resilient to system and environmental uncertainty. Furthermore, automated support to validate that a DAS provides acceptable behavior even through reconfigurations are essential to address assurance concerns. This paper introduces F., an evolutionary computation-b
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A Fine-Grained Parallel Multi-objective Test Case Prioritization on GPUand test suite minimization. GPU-based parallel MOEAs are proposed to increase execution efficiency to fulfill the industrial demands. When using binary representation in MOEAs, the fitness evaluation can be transformed a parallel matrix multiplication that is implemented on GPU easily and more effi
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