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During software development, code clones are commonly produced, in the form of a number of the same or similar code fragments spreading within one or many large code bases. Numerous research projects have been carried out on empirical studies or tool support for detecting or analyzing code clones. However, in practice, few such research projects have resulted in substantial industry adoption. In this...
One of the grand challenges for adequately testing scientific software is due to the oracle problem. Metamorphic testing is the promise technique for addressing the problem through checking the satisfaction of a metamorphic relation that defines the correlation on the relation of paired test inputs and the one of their corresponding outputs. Therefore, checking the correctness of an individual test...
Over the years of software development, a vast amount of source code has been accumulated. Many code search tools were proposed to help programmers reuse previously-written code by performing free-text queries over a large-scale codebase. Our experience shows that the accuracy of these code search tools are often unsatisfactory. One major reason is that existing tools lack of query understanding ability...
In this work, we present an implementation of a two-way decode-and-forward relaying scheme using network coding (NC) in Software-Defined Radio (SDR). We describe a specific medium access (MAC) protocol based on a TDMA scheme to establish robust synchronization between the terminals implemented within the open-source GNU Software Radio (GNU Radio) platform and fitted for operation with an Ettus Universal...
Code clones have always been a double edged sword in software development. On one hand, it is a very convenient way to reuse existing code, and to save coding effort. On the other hand, since developers may need to ensure consistency among cloned code segments, code clones can lead to extra maintenance effort and even bugs. Recently studies on the evolution of code clones show that only some of the...
Producing industrial impact has often been one of the important goals of academic or industrial researchers when conducting research. However, it is generally challenging to transfer research results into industrial practices. There are some common challenges faced when pursuing technology transfer and adoption while particular challenges for some particular research areas. At the same time, various...
Software analytics is to enable software practitioners to perform data exploration and analysis in order to obtain insightful and actionable information for data-driven tasks around software and services. When applying analytic technologies in practice of software analytics, one should incorporate (1) a broad spectrum of domain knowledge and expertise, e.g., management, machine learning, large-scale...
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