论文标题
KARB解决方案：根据基于规则的基准测试遵守质量
KARB Solution: Compliance to Quality by Rule Based Benchmarking
论文作者
论文摘要
可以通过基准测试来进行合规性评估，而不是证明或逻辑评估。从本质上讲，基准。因此，一组基准可以塑造出适用的解决方案以进行合规评估。在本文中，我们介绍了KARB解决方案：通过基于规则的基准测试来避免遵守合规性异常。通过基于规则的基准测试，我们的意思是通过其符号规范和使用一组符号规则（代表评估的语义逻辑）来评估不合适系统的符合系统。为了证明和研究KARB解决方案的方式，我们进行了案例研究。 IR-QUMA研究（伊朗关于Messenger应用中质量调查）的定义是为了评估某些Messenger应用程序的质量。评估的结果表明，DD-KARB的混合方法（具有语义意识和数据驱动性的组合）比单身方法更有效，并且可以以某种方式计算出对Messenger-Apps用户质量评分的良好估计。因此，在这种技术背景下，DD-KARB可以被视为一种质量基准测试的方法。
Instead of proofs or logical evaluations, compliance assessment could be done by benchmarking. Benchmarks, in their nature, are applied. So a set of benchmarks could shape an applied solution for compliance assessment. In this paper, we introduce the KARB solution: Keeping away compliance Anomalies by Rule-based Benchmarking. By rule-based benchmarking, we mean evaluation of under-compliance-system by its symbolic specification and by using a set of symbolic rules (on behalf of semantic logic of evaluation). In order to demonstrate and investigate the manner of KARB solution, we conducted a case study. The IR-QUMA study (Iranian Survey on Quality in Messenger Apps) is defined to evaluate the quality of some messenger apps. the results of evaluations suggest that the Hybrid Method of DD-KARB (with combination of semantics-awareness and data-drivenness) is more effective than solo-methods and could compute a somehow good estimation for messenger-apps user quality scores. So DD-KARB could be considered as a method for quality benchmarking in this technical context.
