Proceedings of the 2006 international workshop on Software quality
Use of a multidimensional approach to study the evolution of software complexity
Innovations in Systems and Software Engineering
Problem-solution mapping for forward and reengineering on architectural level
Proceedings of the 12th International Workshop on Principles of Software Evolution and the 7th annual ERCIM Workshop on Software Evolution
The quamoco product quality modelling and assessment approach
Proceedings of the 34th International Conference on Software Engineering
Assessing technical debt by identifying design flaws in software systems
IBM Journal of Research and Development
Exploring the impact of inter-smell relations on software maintainability: an empirical study
Proceedings of the 2013 International Conference on Software Engineering
To what extent can maintenance problems be predicted by code smell detection? - An empirical study
Information and Software Technology
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The quality of a design has a decisive impact on the quality of a software product; but due to the diversity and complexity of design properties (e.g., coupling, encapsulation), their assessment and correlation with external quality attributes (e.g., maintenance, portability) is hard. In contrast to traditional quality models that express the "goodness" of design in terms of a set of metrics, the novel Factor-Strategy model proposed by this paper, relates explicitly the quality of a design to its conformance with a set of essential principles, rules and heuristics. This model is based on a novel mechanism, called detection strategy, that raises the abstraction level in dealing with metrics, by allowing to formulate good-design rules and heuristics in a quantifiable manner, and to detect automatically deviations from these rules. This quality model provides a twofold advantage: (i) an easier construction and understanding of the model as quality is put in connection with design principles rather than "raw numbers"; and (ii) a direct identification of the real causes of quality flaws. We have validated the approach through a comparative analysis involving two versions of a industrial software system.