复杂度度量:一种确保规划问题分配均等的新方法

G. M. M. Bashir, Samrat Kumar Dey, S. M. Tariq, Md. Shariful Islam
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引用次数: 5

摘要

将等效规划问题分配给学生进行评估是一个固有的问题。为了消除这个固有的问题,计算机程序的重量测量是必要的。虽然软件是人类创造性活动的产物,但认知信息学在理解其基本特征方面起着重要作用。本文提出了一种基于基本控制结构认知权重的软件复杂度度量方法,降低了现有度量方法的局限性。我们的主要目标是建立一个包含编程问题的题库。我们设计的系统将通过应用所提出的方法从题库中获取求解代码,从而找出相应规划问题的权重。该方法根据我们提出的认知权重模型来计算复杂性。这将有助于教师将编程问题同等地分配给学生。因此,自动复杂性测量将确保学生获得相等的问题进行规划评估。
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Complexity measurement: A new approach to ensure equal distribution of programming problems for evaluation
Distributing equivalent programming problems among the students for evaluation is an inherent problem. To remove this inherent problem, weight measurement of computer programs is necessary. Although software is the outcome of human creative activity, cognitive informatics plays an important role in understanding its fundamental characteristics. In our research, a new software complexity measure based on cognitive weight of basic control structure has been proposed that reduce the limitations of existing measures. Primarily our aim is to build a question bank with programming problems. Our designed system will access the solution codes for finding out the weight of respective programming problem from the question bank by applying the proposed method. The method will find out the complexity according to our proposed cognitive weight model. It will facilitate the instructors distributing the programming problems among the students equivalently. Thus, the automatic complexity measurement will ensure the students obtaining equal problems for programming evaluation.
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