.png){kind=icon}
返回
Using information retrieval based coupling measures for impact analysis
.png){kind=icon}
PRE
AI
DOI：10.1007/s10664-008-9088-2.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Coupling is an important property of software systems, which directly impacts program comprehension. In addition, the strength of coupling measured between modules in software is often used as a predictor of external software quality attributes such as changeability, ripple effects of changes and fault-proneness. This paper presents a new set of coupling measures for Object-Oriented (OO) software systems measuring conceptual coupling of classes. Conceptual coupling is based on measuring the degree to which the identifiers and comments from different classes relate to each other. This type of relationship, called conceptual coupling, is measured through the use of Information Retrieval (IR) techniques. The proposed measures are different from existing coupling measures and they capture new dimensions of coupling, which are not captured by the existing coupling measures. The paper investigates the use of the conceptual coupling measures during change impact analysis. The paper reports the findings of a case study in the source code of the Mozilla web browser, where the conceptual coupling metrics were compared to nine existing structural coupling metrics and proved to be better predictors for classes impacted by changes.
Keyword:
Impact analysis
Latent semantic indexing
Information retrieval
Change prediction
Coupling measurement
期刊
IF:
3.6
论文数:
2.0K
被引数:
5.3K
机构
引用论文
Enterprise Bargaining and Regional Prospects: The Effects of Rescaling Wage Regulation in Australia
PREAI
分享收藏New wine in an old bottle? A facet-level perspective on the added value of Grit over BFI–2 Conscientiousness.png)
PLOS ONE
OAAI
PLOS ONEIF0
OAAI分享收藏分享收藏AN INFORMATION-RETRIEVAL APPROACH FOR AUTOMATICALLY CONSTRUCTING SOFTWARE LIBRARIES一种自动构建软件库的信息检索方法
OAAI
OAAI分享收藏Exploring the relationships between design measures and software quality in object-oriented systems
PREAI
分享收藏
查看更多内容