Paper Info
Title
Prioritizing maintainability defects based on refactoring recommendations
Abstract
As a measure of software quality, current static code analyses reveal thousands of quality defects on systems in brown-field development in practice. Currently, there exists no way to prioritize among a large number of quality defects and developers lack a structured approach to address the load of refactoring. Consequently, although static analyses are often used, they do not lead to actual quality improvement. Our approach recommends to remove quality defects, exemplary code clones and long methods, which are easy to refactor and, thus, provides developers a first starting point for quality improvement. With an empirical industrial Java case study, we evaluate the usefulness of the recommendation based on developers’ feedback. We further quantify which external factors influence the process of quality defect removal in industry software development.
Year
DOI
Venue
2014
10.1145/2597008.2597805
ICPC
Keywords
Field
DocType
dataflow analysis,finding prioritization,management,software quality
Data mining,Systems engineering,Computer science,Software quality control,Software quality,Code refactoring,Java,Software development,Maintainability,Reliability engineering,Quality management
Conference
Citations 
PageRank 
References 
5
0.41
19
Authors
2
Name
Order
Citations
PageRank
Daniela Steidl11035.59
Sebastian Eder2476.27