minuscule
发表于 2025-3-21 20:08:03
书目名称Software Engineering and Methodology for Emerging Domains影响因子(影响力)<br> http://impactfactor.cn/if/?ISSN=BK0870832<br><br> <br><br>书目名称Software Engineering and Methodology for Emerging Domains影响因子(影响力)学科排名<br> http://impactfactor.cn/ifr/?ISSN=BK0870832<br><br> <br><br>书目名称Software Engineering and Methodology for Emerging Domains网络公开度<br> http://impactfactor.cn/at/?ISSN=BK0870832<br><br> <br><br>书目名称Software Engineering and Methodology for Emerging Domains网络公开度学科排名<br> http://impactfactor.cn/atr/?ISSN=BK0870832<br><br> <br><br>书目名称Software Engineering and Methodology for Emerging Domains被引频次<br> http://impactfactor.cn/tc/?ISSN=BK0870832<br><br> <br><br>书目名称Software Engineering and Methodology for Emerging Domains被引频次学科排名<br> http://impactfactor.cn/tcr/?ISSN=BK0870832<br><br> <br><br>书目名称Software Engineering and Methodology for Emerging Domains年度引用<br> http://impactfactor.cn/ii/?ISSN=BK0870832<br><br> <br><br>书目名称Software Engineering and Methodology for Emerging Domains年度引用学科排名<br> http://impactfactor.cn/iir/?ISSN=BK0870832<br><br> <br><br>书目名称Software Engineering and Methodology for Emerging Domains读者反馈<br> http://impactfactor.cn/5y/?ISSN=BK0870832<br><br> <br><br>书目名称Software Engineering and Methodology for Emerging Domains读者反馈学科排名<br> http://impactfactor.cn/5yr/?ISSN=BK0870832<br><br> <br><br>
cumulative
发表于 2025-3-21 20:42:03
Software Requirements Elicitation Based on Ontology Learningulation method ignores the distribution of feature items, the concept of information entropy is introduced and the CCM method is further integrated. This method can improve the automation degree of ontology construction, and also make the user requirements of software more accurate and complete.
音的强弱
发表于 2025-3-22 03:13:59
1865-0929 gineering, e.g. requirements engineering, software methodologies, software analytics, software testing and evolution, and empirical studies..978-981-15-0309-2978-981-15-0310-8Series ISSN 1865-0929 Series E-ISSN 1865-0937
bronchodilator
发表于 2025-3-22 07:06:55
Call Graph Based Android Malware Detection with CNNatures. We propose a convolutional neural network(CNN) model based on APK’s call graph to extract local features. With the comparison of detection experiments, we demonstrate that the local features indeed help to detect malicious APKs and our model is effective in extracting local features.
coltish
发表于 2025-3-22 11:20:57
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amphibian
发表于 2025-3-22 15:21:53
1865-0929 17, and the 17th National Conference, NASAC 2018, held in Shenzhen, China, in November 2018. .The 6 revised selected papers were selected from 17 submissions for NASAC 2017, and 5 revised selected papers were selected from 20 submissions for NASAC 2018. The papers focus on all aspects of software en
CARK
发表于 2025-3-22 17:15:17
Test Oracle Prediction for Mutation Based Fault Localizationion-based fault localization (MBFL) is one of the most effective automated fault localization techniques that have been recently proposed, and it requires the execution results (passed or failed) of test cases to locate faults. One problem preventing MBFL from becoming a practical testing technique
和蔼
发表于 2025-3-23 00:49:26
Parallel Evolutionary Algorithm in Scheduling Work Packages to Minimize Duration of Software Project Software Project Management based on parallel implementation of evolutionary algorithm on GPU. We redesigned evolutionary algorithm to cater for the purpose of parallel programming. Our approach aims to parallelize the genetic operators including: crossover, mutation and evaluation in the evolution
固定某物
发表于 2025-3-23 02:09:14
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经典
发表于 2025-3-23 08:24:51
Call Graph Based Android Malware Detection with CNNe to detect malicious behaviors. In particular, we extract the patterns of suspicious APIs which are invoked together. We call these patterns local features. We propose a convolutional neural network(CNN) model based on APK’s call graph to extract local features. With the comparison of detection exp