Mining the Key Nodes from Software Network Based on Fault Accumulation and Propagation
المؤلفون المشاركون
Qian, Wang
Hao, Xiaobing
Guoyan, Huang
Xinqian, Liu
Huaizhi, Yan
المصدر
Security and Communication Networks
العدد
المجلد 2019، العدد 2019 (31 ديسمبر/كانون الأول 2019)، ص ص. 1-11، 11ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2019-03-07
دولة النشر
مصر
عدد الصفحات
11
التخصصات الرئيسية
تكنولوجيا المعلومات وعلم الحاسوب
الملخص EN
The increasement of software complexity directly results in the augment of software fault and costs a lot in the process of software development and maintenance.
The complex network model is used to study the accumulation and accumulation of faults in complex software as a whole.
Then key nodes with high fault probability and powerful fault propagation capability can be found, and the faults can be discovered as soon as possible and the severity of the damage to the system can be reduced effectively.
In this paper, the algorithm MFS_AN (mining fault severity of all nodes) is proposed to mine the key nodes from software network.
A weighted software network model is built by using functions as nodes, call relationships as edges, and call times as weight.
Exploiting recursive method, a fault probability metric FP of a function, is defined according to the fault accumulation characteristic, and a fault propagation capability metric FPC of a function is proposed according to the fault propagation characteristic.
Based on the FP and FPC, the fault severity metric FS is put forward to obtain the function nodes with larger fault severity in software network.
Experimental results on two real software networks show that the algorithm MFS_AN can discover the key function nodes correctly and effectively.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Guoyan, Huang& Qian, Wang& Xinqian, Liu& Hao, Xiaobing& Huaizhi, Yan. 2019. Mining the Key Nodes from Software Network Based on Fault Accumulation and Propagation. Security and Communication Networks،Vol. 2019, no. 2019, pp.1-11.
https://search.emarefa.net/detail/BIM-1210543
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Guoyan, Huang…[et al.]. Mining the Key Nodes from Software Network Based on Fault Accumulation and Propagation. Security and Communication Networks No. 2019 (2019), pp.1-11.
https://search.emarefa.net/detail/BIM-1210543
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Guoyan, Huang& Qian, Wang& Xinqian, Liu& Hao, Xiaobing& Huaizhi, Yan. Mining the Key Nodes from Software Network Based on Fault Accumulation and Propagation. Security and Communication Networks. 2019. Vol. 2019, no. 2019, pp.1-11.
https://search.emarefa.net/detail/BIM-1210543
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1210543
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر