A Novel UML Based Approach for Early Detection of Change Prone Classes

Q4 Computer Science

International Journal of Open Source Software and Processes Pub Date : 2017-07-01 DOI:10.4018/IJOSSP.2017070101

Deepa Bura, A. Choudhary, R. K. Singh

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引用次数: 4

Abstract

This article describes how predicting change-prone classes is essential for effective development of software. Evaluating changes from one release of software to the next can enhance software quality. This article proposes an efficient novel-based approach for predicting changes early in the object-oriented software. Earlier researchers have calculated change prone classes using static characteristics such as source line of code e.g. added, deleted and modified. This research work proposes to use dynamic metrics such as execution duration, run time information, regularity, class dependency and popularity for predicting change prone classes. Execution duration and run time information are evaluated directly from the software. Class dependency is obtained from UML2.0 class and sequence diagrams. Regularity and popularity is acquired from frequent item set mining algorithms and an ABC algorithm. For classifying the class as change-prone or non-change-prone class an Interactive Dichotomizer version 3 ID3 algorithm is used. Further validation of the results is done using two open source software, OpenClinic and OpenHospital.

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一种新的基于UML的易变化类的早期检测方法

本文描述了如何预测易变化类对于有效的软件开发至关重要。评估从一个软件版本到下一个软件版本的变更可以提高软件质量。本文提出了一种有效的基于新颖的方法来预测面向对象软件的早期变化。早期的研究人员使用静态特征(如源代码行，如添加、删除和修改)计算易发生变化的类。这项研究工作建议使用动态度量，如执行时间、运行时信息、规律性、类依赖和流行度来预测容易发生变化的类。执行持续时间和运行时信息直接从软件中评估。类依赖关系是从UML2.0类和序列图中获得的。通过频繁项集挖掘算法和ABC算法获得规律性和流行度。为了将类分类为易发生变化的类或非易发生变化的类，使用了交互式二分类器版本3 ID3算法。使用两个开源软件(OpenClinic和OpenHospital)对结果进行进一步验证。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

International Journal of Open Source Software and Processes Computer Science-Software

CiteScore

1.90

自引率

0.00%

发文量

期刊介绍： The International Journal of Open Source Software and Processes (IJOSSP) publishes high-quality peer-reviewed and original research articles on the large field of open source software and processes. This wide area entails many intriguing question and facets, including the special development process performed by a large number of geographically dispersed programmers, community issues like coordination and communication, motivations of the participants, and also economic and legal issues. Beyond this topic, open source software is an example of a highly distributed innovation process led by the users. Therefore, many aspects have relevance beyond the realm of software and its development. In this tradition, IJOSSP also publishes papers on these topics. IJOSSP is a multi-disciplinary outlet, and welcomes submissions from all relevant fields of research and applying a multitude of research approaches.