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This paper introduces the Coarse Hierarchical Delta Debugging algorithm for efficient test case reduction. It can be used as a test case simplification algorithm in its own right if theoretical minimality is not a strict requirement, or it can act as a preprocessing step to the original Hierarchical Delta Debugging algorithm. Evaluation of artificial and real test cases shows that a coarse variant...
Test case reduction has been automated since the introduction of the minimizing Delta Debugging algorithm, but improving the efficiency of reduction is still the focus of research. This paper focuses on Hierarchical Delta Debugging, already an improvement over the original technique, and describes how its input tree and caching approach can be changed for higher efficiency. The proposed optimizations...
Heterogeneous environments are becoming commonplace so it is increasingly important to understand how and where we could execute a given algorithm the most efficiently. In this paper we propose a methodology that uses both static source code metrics and dynamic execution time, power and energy measurements to build configuration prediction models. These models are trained on special benchmarks that...
More and more 2D graphics engines are extended with GPU accelerated code paths to share the workload between the CPU and GPU. This becomes even more important on embedded systems which are resource constrained. In the following, we present the GL2D engine, which is optimized for GPUs with OpenGL ES 2.0 support.
By now, the Web has matured into a full-scale application platform and its popularity is constantly rising. However, popularity comes at a cost: theWeb is becoming more and more of a target for attackers. In this paper, we argue that the security analysis of web browsers deserves attention and the data on their security evolution is of high value. We examine the security evolution of the widely used...
Software Quality Assurance involves all stages of the software life cycle including development, operation and evolution as well. Low level measurements (product and process metrics) are used to predict and control higher level quality attributes. There exists a large body of proposed metrics, but their interpretation and the way of connecting them to actual quality management goals is still a challenge...
In this paper we present a method for reconstructing static scene viewed through thick smoke using multiple images. Based on spatiotemporal statistical approach our method works well on noisy videos containing swirling smoke. We apply statistical analysis on regions of color input images, and show the way to reconstruct scene by transforming images to alter mean and deviation locally. We introduce...
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