Evaluating the Quality of Drupal Software Modules

被引：0
|
作者：
Denham, Benjamin [1 ]
Pears, Russel [1 ]
Connor, Andy M. [2 ]
机构：
[1] Auckland Univ Technol, Sch Engn Comp & Math Sci, Auckland 1142, New Zealand
[2] Colab Auckland Univ Technol, Auckland 1142, New Zealand
来源：
INTERNATIONAL JOURNAL OF SOFTWARE ENGINEERING AND KNOWLEDGE ENGINEERING | 2018年 / 28卷 / 05期
关键词：
Software quality; data mining; Drupal; MODEL;
D O I：
10.1142/S0218194018500195
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Evaluating software modules for inclusion in a Drupal website is a crucial and complex task that currently requires manual assessment of a number of module facets. This study applied data-mining techniques to identify quality-related metrics associated with highly popular and unpopular Drupal modules. The data-mining approach produced a set of important metrics and thresholds that highlight a strong relationship between the overall perceived reliability of a module and its popularity. Areas for future research into open-source software quality are presented, including a proposed module evaluation tool to aid developers in selecting high-quality modules.
引用
收藏
页码：663 / 700
页数：38
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