典型文献
Effort-aware cross-project just-in-time defect prediction framework for mobile apps
文献摘要：
As the boom of mobile devices,Android mobile apps play an irreplaceable roles in people's daily life,which have the characteristics of frequent updates involving in many code commits to meet new requirements.Just-in-Time(JIT)defect prediction aims to identify whether the commit instances will bring defects into the new release of apps and provides immediate feedback to developers,which is more suitable to mobile apps.As the within-app defect prediction needs sufficient historical data to label the commit instances,which is inadequate in practice,one alternative method is to use the cross-project model.In this work,we propose a novel method,called KAL,for cross-project JIT defect prediction task in the context of Android mobile apps.More specifically,KAL first transforms the commit instances into a high-dimensional fea-ture space using kernel-based principal component analysis technique to obtain the representative features.Then,the adver-sarial learning technique is used to extract the common feature embedding for the model building.We conduct experiments on 14 Android mobile apps and employ four effort-aware indicators for performance evaluation.The results on 182 cross-project pairs demonstrate that our proposed KAL method obtains better performance than 20 comparative methods.
文献关键词：
中图分类号：
作者姓名：
Tian CHENG;Kunsong ZHAO;Song SUN;Muhammad MATEEN;Junhao WEN
作者机构：
School of Big Data and Software Engineering,Chongqing University,Chongqing 401331,China;School of Computer Science,Wuhan University,Wuhan 430072,China;Department of Computer Science,Air University Multan Campus,Multan 60000,Pakistan
文献出处：
引用格式：
[1]Tian CHENG;Kunsong ZHAO;Song SUN;Muhammad MATEEN;Junhao WEN-.Effort-aware cross-project just-in-time defect prediction framework for mobile apps)[J].计算机科学前沿,2022(06):14-28
A类：
commits
B类：
Effort,aware,cross,project,just,prediction,framework,mobile,apps,boom,devices,Android,play,irreplaceable,roles,people,daily,life,which,have,characteristics,frequent,updates,involving,many,code,meet,new,requirements,Just,Time,JIT,aims,identify,whether,instances,will,bring,defects,into,release,provides,immediate,feedback,developers,more,suitable,within,needs,sufficient,historical,data,label,inadequate,practice,alternative,model,In,this,we,novel,called,KAL,task,context,More,specifically,first,transforms,high,dimensional,space,using,kernel,principal,component,analysis,technique,representative,features,Then,adver,sarial,learning,used,extract,common,embedding,building,We,conduct,experiments,employ,four,effort,indicators,performance,evaluation,results,pairs,demonstrate,that,proposed,obtains,better,than,comparative,methods
AB值：
0.552776
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