77范文网 - 专业文章范例文档资料分享平台

2015-FSE-Suggesting accurate method and class names(9)

来源:网络收集 时间:2020-12-24 下载这篇文档 手机版
说明:文章内容仅供预览,部分内容可能不全,需要完整文档或者需要复制内容,请下载word后使用。下载word有问题请添加微信号:或QQ: 处理(尽可能给您提供完整文档),感谢您的支持与谅解。点击这里给我发消息

atVariables

ASTAncestors

Method,Class,SuperclassandInterfaceSubtokensDeclarationModi ersVariableTypeAll

MethodDeclarationsASTAncestors

CyclomaticComplexityFieldsSubtokens

Class,SuperclassandInterfacesSubtokensMethodImplementationSubtokensDeclarationModi ersReturnTypeSiblingMethods

NumberofArgumentsThrownExceptionsAll

TypeDeclarationsFieldSubtokens

SuperclassandInterfaceSubtokensContainedMethodsSubtokensAll

@5%@20%@5%@20%-0.3-1.2-0.1-0.21.23.64.09.111.77.91.310.08.87.76.417.0-----1.00.1-0.1-0.34.81.30.2-0.17.84.20.521.74.90.420.85.1----0.90.00.70.6-0.81.93.7-24.87.03.4-1.64.0-0.44.3-8.85.7-5.15.3-1.513.6

2.61.01.93.85.8-2.32.3-7.63.14.70.93.22.36.1-2.17.53.18.78.510.3

@5%@20%@5%@20%2.01.12.22.12.14.110.99.813.47.46.57.010.56.45.519.3----0.71.80.71.55.01.50.50.68.84.60.0217.55.20.716.85.3----0.80.10.20.3-0.91.91.8-23.07.30.9-1.83.6-1.23.2-11.45.35.214.2-4.42.6

2.50.81.43.35.7-0.91.4-6.92.83.80.62.61.24.9-1.16.50.42.52.33.6

Figure6:Evaluationofsinglepointsuggestionsforvariablesatrankk=1averagedacrossallprojects.The“features”and“no-features”modelslacksuf cientcon dencetomakesuggestionsatthehighersuggestionfrequencies.

slightlyasthepredictioncon dencedecreases.Interestingly,thetoken-levelmodelsareunabletomakeanysuggestionsbeyondasuggestionfrequencyof15%.Forallothertokens,thetoken-levelmethodsreturnthespecialUNKtoken,indicatingthatthemodelsexpectaneologismwhichtheycannotpredict.Incontrast,thesubtokenmodelssustainagoodF1score,evenforlargesugges-tionfrequencies.Thisisduetothefactthatthesubtokenmodelslearnnamingconventionsatthesubtokenlevel,capturinglinguis-ticpatterns[5]suchasthatspeci cfunctionsmaycontainvarioussubtokense.g.get,set,has,is.

Table4showsafulllistoftheeffectthateachfeaturehasontheperformanceoftheneuralmodelsatrankk=5.Asexpected,thereturntype,thesubtokensoftheclasswherethemethodisdeclaredinandthesubtokensofthevariablesandmethodinvocationsinsidethatmethodprovidethemostsubstantialperformanceincreases.Basedontheseresults,weconcludethatweareabletosuggestaccuratemethodnamesandthatoursuggestionsarebetterthanpreviousapproaches.WethereforeanswerRQ3intheaf rmative.ClassDe nitionsAccuracyIntheprevioussection,theperfor-manceoftheneuralmodelonsuggestingnamesformethoddecla-rationswasshown.Inthissection,weevaluatetheneuralmodel

whenmakingsuggestionsforclassde nitions.Figure7bshowstheperformanceofthen-gramlanguagemodelandtheneuralmodelsforclassnamede nitions.Incontrasttothepreviousmodels,thetoken-levelmodelscannotmakeanysuggestions,alwayssuggest-ingtheUNKtoken.However,thesubtokenmodelisabletomakesuggestionsevenathighsuggestionfrequenciesmaintaininganF1scoreofmorethan40%outperformingthen-grammodel.

Thankstotheabilityofthesubtokenmodeltosuggestneologismsthesubtoken-levelmodelisabletosuggestclassde nitionnamesthatithasneverseenbefore,withagoodF1score.Table4showsthatthesubtokensofthesuperclassandinterfacesthatatypeisimplementingareinformativeaboutthenameoftheclass.Addition-ally,whencombiningalltheavailablefeatures,wegetasigni cantincreaseinF1score.Thus,weansweryestoRQ4aswell;weareabletosuggestaccuratetype(class)names.

6.RELATEDWORK

NamingInSoftwareEngineeringNamingincodehasachievedafairamountofresearchattention.Therehasbeenpriorresearchintoidentifyingpoorlynamedartifacts.HøstandØstvold[26]de-velopedatechniqueforautomaticallyinferringnamingrulesformethodsbasedonthereturntype,control ow,http://www.77cn.com.cningtheserulestheyfoundandreported“namingbugs”byidentifyingmethodswhosenamescontainedruleviolations.Ar-naoudovaetal.presentedacatalogof“linguisticanti-patterns”incodethatleadtodevelopersmisunderstandingcodeandbuiltadetectorofsuchanti-patterns[5].Binkleyusedpartofspeechtag-gingto nd eldnamesthatviolateacceptedpatterns,e.g.the eldcreate_mp4beginswithaverbandimpliesanactionwhichisacommonpatternforamethodratherthana eld[11].Ourworkiscomplementary,aswemakesuggestionsfornameswhennamingbugsarefound,anti-patternsoccur,ornamingrulesareviolated.DeLucioetal.attemptedtoautomaticallynamesourcecodeartifactsusingLSIandLDAandfoundthatthisapproachdoesn’tworkaswellassimplermethodssuchasusingwordsfromclassand

百度搜索“77cn”或“免费范文网”即可找到本站免费阅读全部范文。收藏本站方便下次阅读,免费范文网,提供经典小说综合文库2015-FSE-Suggesting accurate method and class names(9)在线全文阅读。

2015-FSE-Suggesting accurate method and class names(9).doc 将本文的Word文档下载到电脑,方便复制、编辑、收藏和打印 下载失败或者文档不完整,请联系客服人员解决!
本文链接:https://www.77cn.com.cn/wenku/zonghe/1169913.html(转载请注明文章来源)
Copyright © 2008-2022 免费范文网 版权所有
声明 :本网站尊重并保护知识产权,根据《信息网络传播权保护条例》,如果我们转载的作品侵犯了您的权利,请在一个月内通知我们,我们会及时删除。
客服QQ: 邮箱:tiandhx2@hotmail.com
苏ICP备16052595号-18
× 注册会员免费下载(下载后可以自由复制和排版)
注册会员下载
全站内容免费自由复制
注册会员下载
全站内容免费自由复制
注:下载文档有可能“只有目录或者内容不全”等情况,请下载之前注意辨别,如果您已付费且无法下载或内容有问题,请联系我们协助你处理。
微信: QQ: