Empirical project monitor A tool for mining multiple project(4)
时间:2025-02-21
时间:2025-02-21
Project management for effective software process improvement must be achieved based on quantitative data. However, because data collection for measurement requires high costs and collaboration with developers, it is difficult to collect coherent, quantita
Comparisonofmeasurementresultsamongmulti-pleprojects:EPMmakesmeasurementresultscompara-blewithmultipleprojects.Figure5representstherelation-shipofthegrowthoflinesofcodebetweentwoproject(theupperline:SPARS[10],thelowerline:EASE).Thebothprojectshavebeenproceedingunderthecollaborativere-searchwithauthors’universitiesandsomesoftwarecom-panies.Someresearchersanddevelopershavebeenpar-ticipatinginthebothprojects.Actuallyalthoughthebothhavedifferentpurposesandaspects,supposeherethattheyhavebeendevelopingsoftwaresystemsrespectivelyundersimilarconditions.Theprojectmanagerscancon rmsomecommoncharacteristicsandroughlyestimatetheprogressofthelaterproject(EASE)fromthegraph.Forinstance,SPARShasthetwophasesinwhichithaveevolvedrapidlyforreleasingmajorversions.EASEhasjustreleasedthe rstmajorversion.ThemanagersareeasytoguessthenearfutureoftheprogressofEASE:thedevelopmentofEPMwillstopforawhiletotesttheEPM,toreconsiderthede-sign,andsoforth.
parisonoftwoprojects
Distributionmapsofmultipleprojects:Usingmea-surementresultsfromthreekindsofrepositoriesinmulti-pleprojects,EPMcangeneratedistributionmaps.Figure6isadistributionmapusing100OpenSourceSoftwareDevelopment(OSSD)10,11,whichrepresentstherelationshipbetweenlinesofcode(theX-axis)andnumberofcheckins(theY-axis).Supposeherethattheseprojectsaremanagedbyonesoftwareorganization.Thegraphcanbeusedforhelp-ingmanagersidentify“unusual”projectswhichindicateex-tremehighorlowvalues.
,
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11We
selectedthe100projectsinFigure6randomlyfromthelistof
mostactiveprojectsin
.
Figure6.Distributionmapof100OSSDprojects
3.3Customizationsofmeasurementparameters
EPMcurrentlyprovidesuserswiththe ingthedatabaseschemaforEPMwhichisopentothepublic,usersareabletoinputSQLsequencesandtocreatebargraphs,linegraphs,anddistributionmapssuchasFigure6.Becausewewouldliketosupportvar-iousprojectsandorganizationswhichhaveownproblemsrespectively,wedecidedtoprovidetheminimumtypesofgraphsandsummaryinformationratherthantoprovidealotoftheminadvance.Afterfeedbackfromsoftwareorga-nizationsusingEPM,wewilladdothertypesofgraphsinthenearfuture.CurrentlyEPMcanbeviewedasatoolforexploratorydataanalysis[5].
4Discussion
Inthissection,wereportacasestudyofapplyingEPMtoourprojectitself,inordertoobservetheactualusageofthepre-de ned5typesofgraphsmentionedabove.Wehaveinterviewedfourdevelopersontheadvantagesandthedis-advantagesofusingEPM.ThedevelopmentenvironmentofthisprojectissummarizedinTable1.
Oneoftheadvantagesisthatthegraphsmakedeveloperseasytounderstandthestatusoftheprojectbyidentifyingdistinctivepartsindicatedinthegraphs.Forinstance,thepartofthe atlineintheLoCgraphremindedthemwhythedevelopmentseemedtobestopped.Infact,alldeveloperswereonabusinesstripatthetime.Thiscouldhelpthem
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