Academic Journal

Automatically Detecting Architecturally-Relevant Code Anomalies

التفاصيل البيبلوغرافية
العنوان: Automatically Detecting Architecturally-Relevant Code Anomalies
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