Title
Improving Software Quality Using An Ontologybased Approach,Used
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Ensuring quality in software development is a challenging process. The concepts of antipatterns and code smells utilize the knowledge of known problems to improve the quality of current and future software development. However, the knowledge and understanding of these indicators of low quality software is still insufficient to resolve many of the problems they represent. The identification and definition of antipatterns is a heuristic process. Additionally, minimal research exists addressing the relationships between or among code smells and anti patterns. Software quality issues such as understandability and maintainability can be improved by identifying and resolving antipatterns associated with code smells as well as preventing code smells before coding begins. We present an ontological representation of the relationships between antipatterns and code smells to enhance the understanding of these concepts with the goal of improving software quality.
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