Blockchain technology is getting more and more attention due to its decentralization, independence and security features. However, in wireless networks it faces a computational challenge: the proof-of-work problem. Mobile edge computing (MEC) leads to a vaild scheme by providing cloud computing capabilities to mobile devices. Non-orthogonal multiple access (NOMA) exploits the diversity properties in the power domain to further increase system throughput and spectral efficiency. In this paper, we suggest a new NOMA-based MEC wireless blockchain network to minimize system energy consumption through task offloading decision optimization, user clustering, computing resource and transmit power allocation. In order to effectively figure out this non-convex problem, we first propose a offloading decision and user clustering algorithm, and then propose a computing resource allocation algorithm based on user Quality of Service (QoS) requirements. Finally, the transmission power is simply solved. The numerical simulation results verify that the proposed joint optimization algorithm can effectively decrease the system energy consumption.

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Both software organizations and the academic community are aware that the software measurement process is in need of future support. Academic community has a lot of research in the software measurement theory, methods, tools, etc. Software organizations are also implement measurement activity with various ways. However, there is a problem: how about their measurement process in the end? It addresses this problem by creating a specialized Software Measurement Process Capability Maturity Model (SMP-CMM). SMP-CMM including five maturity levels: initial, tentatively, defined, compesive and optimized. The model focus on the basic practice areas which should be implementing of every level, it helps the originations to assess their measurement process and provides guidance for them to a higher maturity level.

The core assets library is the most important component of any software product line; it evolved responding to organization businesses, origination object, technology renovation and time. From the metric of the core assets library, this paper gives several measurements and their definitions which correlate with the evolution of a core assets library. It is combing with data processing, putting forward an evaluation model with the evolution of a core assets library, using analytic hierarchy process to estimate the core assets library's evolution level, illuminating with an example at last.

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