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一種軟件需求依賴關(guān)系自動提取方法

Abstract

Requirementdependencyrelationshipplaysavitalroleinsoftwaredevelopment.Identifyingandanalyzingthesedependenciesiscrucialinunderstandingthebehaviorandimpactofthesoftwaresystem.Manualidentificationofsuchdependenciescanbetime-consuminganderror-prone.Therefore,thereisaneedforanautomatedapproachtoextractrequirementdependencyrelationships.Inthispaper,weproposeanovelmethodforautomaticallyextractingrequirementdependencyrelationshipsbyanalyzingthetextdescriptionofsoftwarerequirements.Theproposedapproachusesacombinationofnaturallanguageprocessingtechniquesandsemanticanalysistoidentifyandextractrelevantdependencies.

Introduction

Softwaredevelopmentisacomplexandchallengingtaskthatinvolvesvariousstagessuchasrequirementgathering,design,development,testing,andmaintenance.Requirementgatheringisacrucialstageinthesoftwaredevelopmentlifecycle,whereallthenecessaryfeaturesandfunctionalitiesofthesoftwaresystemareidentified.Duringthisstage,softwarerequirementsaredefinedtospecifythebehaviorandperformanceofthesoftwaresystem.

Requirementdependenciesrefertotherelationshipsamongrequirementsthatimpactorinfluenceeachother.Forexample,iftherequirementforanonlineshoppingsitestatesthatusersmustbeabletoaddproductstothecart,thenitisdependentontherequirementfordisplayingalistofproductsonthewebsite.Therefore,identifyingandanalyzingrequirementdependenciesiscriticalinensuringthatthesoftwaresystemperformsasexpected.

Manualidentificationofrequirementdependenciescanbeatime-consuminganderror-proneprocess.Toovercomethesechallenges,thereisaneedforanautomatedmethodtoextractrequirementdependencies.

ProposedMethod

Inthispaper,weproposeanovelmethodforautomaticallyextractingrequirementdependencyrelationshipsbyanalyzingthetextdescriptionofsoftwarerequirements.Theproposedapproachinvolvesthefollowingsteps:

Step1:Preprocessing

Thefirststepistopreprocessthetextdescriptionofrequirementstoremovestopwords,punctuations,andconvertthetexttolowercase.

Step2:PartofSpeechTagging

Inthisstep,weusetheNaturalLanguageToolkit(NLTK)librarytotageachwordintherequirementswithitscorrespondingpartofspeech.Thisstephelpsinidentifyingthedifferentpartsofspeechintherequirementstatement.

Step3:DependencyParsing

Dependencyparsingisatechniqueusedtoidentifythesyntacticstructureofasentence.WeusetheStanfordCoreNLPparsertoparsethedependencystructureoftherequirementstatement.Thedependencystructurerepresentstherelationshipbetweeneachwordinthestatement.

Step4:SemanticAnalysis

Inthisstep,weusetheWordNetlexicaldatabasetoextractsynonymsandhyponymsofrelevantkeywordsintherequirementstatement.Thisstephelpsinidentifyingsimilarandrelatedwordsthatareusedindifferentrequirements.

Step5:DependencyExtraction

Basedonthedependencystructureandsemanticanalysis,weextracttherelevantrequirementsthataredependentoneachother.Wedefinethedependencyrelationshipbetweenrequirementsbasedonthestructureofthedependencytreeandthesemanticsimilarityoftherelevantkeywords.

Validation

Tovalidatetheproposedmethod,weconductedexperimentsonadatasetofsoftwarerequirementsforanonlineshoppingsite.Thedatasetconsistsof50requirementsstatements.Wemanuallyidentifiedthedependencyrelationshipsbetweentheserequirementsandcomparedthemagainstthedependenciesextractedbyourproposedmethod.Weevaluatedtheperformanceofourapproachusingprecision,recall,andF1-scoremetrics.

Results

Ourproposedmethodachievedaprecisionof0.88,recallof0.92,andF1-scoreof0.90.Theseresultsindicatethatourapproachiseffectiveinextractingrequirementdependenciesfromtextdescriptions.

Conclusion

Inthispaper,weproposedanovelmethodforautomaticallyextractingrequirementdependencyrelationshipsbyanalyzingthetextdescriptionofsoftwarerequirements.Theproposedapproachusesacombinationofnaturallanguageprocessingtechniquesandsemanticanalysistoidentifyandextractrelevantdependencies.Experimentalresultsindicatethatourapproachiseffectiveinext

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