Process Improvement Based on Causal Networks

R. Dumke, Karsten Richter, K. Georgieva, E. Asfoura
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Abstract

This paper includes a causal-based modelling of software measurement processes in order to clarify the empirical reasoning in software engineering field. A first overview about existing causal network approaches shows the problems and possible benefits using these formal techniques in the software engineering area. The definition and extension of the causal modelling using causal networks helps to understand the relationships between the different software process artefacts and their causalities. The causal network based process model (CNPM) concept is based on the causal network idea of Pearl. The description of first applications of the CNPM approach for CMMI demonstrates the empirical reasoning of the software improvement processes in an explicit manner.
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基于因果网络的过程改进
为了阐明软件工程领域的经验推理,本文建立了基于因果关系的软件度量过程模型。关于现有因果网络方法的第一个概述显示了在软件工程领域使用这些形式化技术的问题和可能的好处。使用因果网络的因果建模的定义和扩展有助于理解不同软件过程工件及其因果关系之间的关系。基于因果网络的过程模型(CNPM)概念是在Pearl的因果网络思想的基础上提出的。对CMMI中CNPM方法的第一个应用的描述以一种明确的方式展示了软件改进过程的经验推理。
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