With the development of the software engineering, finding the "best-in-class" practice of a specific domain software and locating its position is an urgent task. This paper proposes a systematic, practical a...
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With the development of software industry, benchmarking methodology is becoming a feasible approach applied to evaluate domain-specific software product quality. In this paper, we propose domain-specific software benc...
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With the wide using of information system, software users are demanding higher quality software and the software developers are pursue the "best-in-class" practice in a specific domain. But till now it is di...
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Conventional approaches to embedded softwaredevelopment are very costly, mainly because of their close reliance on application-dependant design, ad-hoc implementation, time-consuming performance tuning and verificati...
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With the rapid development of mobile terminal, mobile applications are gradually penetrated into all aspects of people's life and work. Mobile games, mobile streaming media, location services, mobile Internet news...
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Community smells are sub-optimal developer community structures that hinder *** studies performed smell prediction and provided refactoring guidelines from a top-down aspect to help community ***,refactoring smells al...
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Community smells are sub-optimal developer community structures that hinder *** studies performed smell prediction and provided refactoring guidelines from a top-down aspect to help community ***,refactoring smells also requires bottom-up effort from every ***,supportive measures and guidelines for them are not available at a fine-grained *** recent work revealed developers'personalities and working states could influence community smells'emergence and variation,we build prediction models with experience,sentiment,and development process features of developers considering three smells including Organizational Silo,Lone Wolf,and Bottleneck,as well as two related classes including smelly developer and smelly *** predict the five classes in the individual granularity,and we also generate forecasts for the number of smelly developers in the community *** proposed models achieve F-measures ranging from 0.73 to 0.92 in individual-wide within-project,time-wise,and cross-project prediction,and mean R2 performance of 0.68 in community-wide Smelly Developer *** also exploit SHAP(SHapley Additive exPlanations)to assess feature importance to explain our *** conclusion,we suggest developers with heavy workload should foster more frequent communication in a straightforward and polite way to build healthier communities,and we recommend community shepherds to use the forecasting model for refactoring planning.
The remote software testing system can easily integrate the testing tools and provide the friendly access and operation environment by introducing grid workflow. The grid service constructor of the system architecture...
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Reinforcement learning has been successfully applied to assess the reliability of applications, but the existing testing methods based on reinforcement learning have the problems of invalid interactive widgets and dif...
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This paper proposes a hyper-converged blockchain hardware and software sys-tem based on domestic chips. By utilizing domestically firmware, the Linux operating system, X86 architecture Hygon processors, and ARM archit...
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As the application of smart contracts in blockchain technology becomes increasingly widespread, their security issues have emerged as a focal point of both research and practice. Although symbolic execution technology...
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