Academic Journal
Automatically Detecting Architecturally-Relevant Code Anomalies
العنوان: | Automatically Detecting Architecturally-Relevant Code Anomalies |
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المؤلفون: | Roberta Arcoverde, Isela Macia, Ro Garcia, Arndt Von Staa |
المساهمون: | The Pennsylvania State University CiteSeerX Archives |
المصدر: | http://www.les.inf.puc-rio.br/opus/docs/pubs/2012/2012-07.pdf. |
المجموعة: | CiteSeerX |
مصطلحات موضوعية: | architectural problems, refactoring I. ARCHITECTURALLY RELEVANT CODE ANOMALIES |
الوصف: | — Software architecture degradation is a long-standing problem in software engineering. Previous studies have shown that certain code anomalies- or patterns of code anomalies- are likely to be harmful to architecture design, although their identification is far from trivial. This study presents a system for not only detecting architecturally-relevant code anomalies, but also helping developers to prioritize their removal by ranking them. We detect code anomaly patterns based on static analysis that also exploit architecture information. |
نوع الوثيقة: | text |
وصف الملف: | application/pdf |
اللغة: | English |
Relation: | http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.658.2635; http://www.les.inf.puc-rio.br/opus/docs/pubs/2012/2012-07.pdf |
الاتاحة: | http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.658.2635 http://www.les.inf.puc-rio.br/opus/docs/pubs/2012/2012-07.pdf |
Rights: | Metadata may be used without restrictions as long as the oai identifier remains attached to it. |
رقم الانضمام: | edsbas.22835FDE |
قاعدة البيانات: | BASE |
الوصف غير متاح. |