Predicting Fault-Prone Software Components in Telecommunication Assembly Patches with Imbalanced Datasets

被引：0

作者：

Liparas, Dimitris ^{[1
]}

Totlis, Ioannis ^{[2
]}

Angelis, Lefteris ^{[1
]}

Stamelos, Ioannis ^{[1
]}

机构：

[1] Aristotle Univ Thessaloniki, Dept Informat, Univ Campus, Thessaloniki 54124, Greece

[2] Intracom SA Telecom Solut, GR-19002 Peania Athens, Greece

来源：

2014 22ND TELECOMMUNICATIONS FORUM TELFOR (TELFOR) | 2014年

关键词：

Fault-proneness; Imbalanced data; Mahalanobis-Taguchi strategy; Software quality; Telecommunication software; MODULES; SYSTEMS; METRICS;

D O I：

暂无

中图分类号：

TN [电子技术、通信技术];

学科分类号：

0809 ;

摘要：

Software quality is imperative in the telecommunication industry. This has led to research towards the development of classification models, able to give a pre-release prediction of whether a software module is faulty or not. However, the data collected within this domain are typically imbalanced. This causes bias on the performance of any prediction model. In this study a hybrid framework for evaluating the fault-proneness of telecommunication software components in a highly imbalanced setting is presented.

引用

页码：1071 / 1074

页数：4

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