A Model for Software Product Quality
IEEE Transactions on Software Engineering
Extended static checking for Java
PLDI '02 Proceedings of the ACM SIGPLAN 2002 Conference on Programming language design and implementation
Object-Oriented Design Heuristics
Object-Oriented Design Heuristics
The evolution matrix: recovering software evolution using software visualization techniques
IWPSE '01 Proceedings of the 4th International Workshop on Principles of Software Evolution
CSMR '01 Proceedings of the Fifth European Conference on Software Maintenance and Reengineering
A Hybrid Reverse Engineering Approach Combining Metrics and Program Visualization
WCRE '99 Proceedings of the Sixth Working Conference on Reverse Engineering
Identifying Refactoring Opportunities Using Logic Meta Programming
CSMR '03 Proceedings of the Seventh European Conference on Software Maintenance and Reengineering
Java Quality Assurance by Detecting Code Smells
WCRE '02 Proceedings of the Ninth Working Conference on Reverse Engineering (WCRE'02)
A Taxonomy and an Initial Empirical Study of Bad Smells in Code
ICSM '03 Proceedings of the International Conference on Software Maintenance
Bad Smells " Humans as Code Critics
ICSM '04 Proceedings of the 20th IEEE International Conference on Software Maintenance
A Comparison of Bug Finding Tools for Java
ISSRE '04 Proceedings of the 15th International Symposium on Software Reliability Engineering
Object-Oriented Metrics in Practice
Object-Oriented Metrics in Practice
Building Usage Contexts During Program Comprehension
ICPC '06 Proceedings of the 14th IEEE International Conference on Program Comprehension
Lightweight visualizations for inspecting code smells
SoftVis '06 Proceedings of the 2006 ACM symposium on Software visualization
Which warnings should I fix first?
Proceedings of the the 6th joint meeting of the European software engineering conference and the ACM SIGSOFT symposium on The foundations of software engineering
Multi-level Method Understanding Using Microprints
VISSOFT '05 Proceedings of the 3rd IEEE International Workshop on Visualizing Software for Understanding and Analysis
Improving change descriptions with change contexts
Proceedings of the 2008 international working conference on Mining software repositories
Scalable, expressive, and context-sensitive code smell display
Companion to the 23rd ACM SIGPLAN conference on Object-oriented programming systems languages and applications
Seven habits of a highly effective smell detector
Proceedings of the 2008 international workshop on Recommendation systems for software engineering
Source Code Rejuvenation Is Not Refactoring
SOFSEM '10 Proceedings of the 36th Conference on Current Trends in Theory and Practice of Computer Science
Building empirical support for automated code smell detection
Proceedings of the 2010 ACM-IEEE International Symposium on Empirical Software Engineering and Measurement
An interactive ambient visualization for code smells
Proceedings of the 5th international symposium on Software visualization
HI-C: diagnosing object churn in framework-based applications
Proceedings of the eighteenth ACM SIGSOFT international symposium on Foundations of software engineering
Use, disuse, and misuse of automated refactorings
Proceedings of the 34th International Conference on Software Engineering
Drag-and-drop refactoring: intuitive and efficient program transformation
Proceedings of the 2013 International Conference on Software Engineering
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Preserving the integrity of software systems is essential in ensuring future product success. Commonly, companies allocate only a limited budget toward perfective maintenance and instead pressure developers to focus on implementing new features. Traditional techniques, such as code inspection, consume many staff resources and attention from developers. Metrics automate the process of checking for problems but produce voluminous, imprecise, and incongruent results. An opportunity exists for visualization to assist where automated measures have failed; however, current software visualization techniques only handle the voluminous aspect of data but fail to address imprecise and incongruent aspects. In this paper, we describe several techniques for visualizing possible defects reported by automated inspection tools. We propose a catalogue of lightweight visualizations that assist reviewers in weeding out false positives. We implemented the visualizations in a tool called NOSEPRINTS and present a case study on several commercial systems and open source applications in which we examined the impact of our tool on the inspection process.