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

页码：663 / 700

页数：38

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