Paper Info
Title
Evaluating The Quality Of Drupal Software Modules
Abstract
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.
Year
DOI
Venue
2018
10.1142/S0218194018500195
INTERNATIONAL JOURNAL OF SOFTWARE ENGINEERING AND KNOWLEDGE ENGINEERING
Keywords
Field
DocType
Software quality, data mining, Drupal
Software modules,Systems engineering,Computer science,Software quality
Journal
Volume
Issue
ISSN
28
5
0218-1940
Citations 
PageRank 
References 
0
0.34
9
Authors
3
Name
Order
Citations
PageRank
Benjamin Denham100.34
Russel Pears220527.00
Andy Connor37212.71