Chii chinonzi Test Data: Kukosha, Zvishandiso, uye Zvinetso
Zviri Mukati
Chii chinonzi test data mukuyedza software?
Zviri nyore, test data tsanangudzo ndeichi: Test data ndiyo yakasarudzwa data rinoisa kushandiswa kutsvaga kukanganisa uye kuve nechokwadi kuti software inoshanda nenzira yainofanirwa kuita.
Vanoedza uye mainjiniya vanovimba nazvo test data seti, ingave yakaunganidzwa nemaoko kana nehunyanzvi bvunzo dzekugadzira data maturusi, kuona kushanda kwesoftware, kuongorora mashandiro, uye kusimbisa kuchengetedzwa.
Kuwedzera pane iyi pfungwa, chii chinonzi test data mukuyedza? Kupfuura chete data rinoisa, data rekuyedza rinosanganisira huwandu hwehuwandu hwekuisa, mamiriro, uye mamiriro. Zvinhu izvi zvinonyatsosarudzwa kuti zvione kana zvinounzwa zvichisangana neakaomarara maitiro emhando uye kushanda kunotarisirwa kubva kune software.
Kuti unzwisise zviri nani test data tsanangudzo, ngationgororei marudzi akasiyana-siyana ebvunzo data.
Ndeapi marudzi ebvunzo data?
Nepo chinangwa chekutanga che kuongorora data ndeyekuona kuti software inoita sezvaitarisirwa, zvinhu zvinokanganisa kushanda kwesoftware zvinosiyana zvakanyanya. Kusiyana uku kunoreva kuti vanoedza vanofanira kushandisa marudzi akasiyana e data kuongorora maitiro ehurongwa mumamiriro akasiyana.
Saka, ngatipindurei mubvunzo uyu—chii chinonzi test data mukuyedza software?—nemienzaniso.
- Positive test data inoshandiswa kuyedza software pasi pemamiriro ekushanda akajairwa, semuenzaniso, kutarisa kana mota ichifamba zvakanaka munzira yakati sandara pasina zvipingaidzo.
- Negative test data kwakafanana nekuedza kushanda kwemotokari nemamwe maspare parts ari kutadza kushanda. Inobatsira kuona kuti software inopindura sei data isiriyo zvinopinza kana kuwandisa kwehurongwa.
- Equivalence class test data inobatsira kumiririra maitiro eboka rakati kana chikamu mukati mesoftware kuyedza, kunyanya, mabatiro esoftware emhando dzakasiyana dzevashandisi kana zvinopinza.
- Random test data inogadzirwa pasina chero maitiro chaiwo. Inobatsira kuve nechokwadi chekuti software inogona kubata zvisingatarisirwi zviitiko zvakanaka.
- Rule-based test data inogadzirwa maererano nemitemo yakafanotaurwa kana maitiro. Muapp yekubhengi, inogona kunge iri data rekutengesa rinogadzirwa kuti ive nechokwadi chekuti matransport ese anosangana nezvimwe zvinodikanwa zvemutemo kana kuti masaramusi eakaundi anoramba ari mukati memiganhu yakatarwa.
- Boundary test data inotarisa kuti software inobata sei kukosha pamagumo emiganhu inogamuchirwa. Zvakafanana nekusundidzira chimwe chimedu chemudziyo kumiganhu yayo yakakwana.
- Regression test data inoshandiswa kutarisa kana shanduko dzichangobva kuitika kusoftware dzakakonzera hurema hutsva kana nyaya.
Nokushandisa izvi zvakasiyana mhando dzebvunzo data, QA nyanzvi dzinogona kunyatsoongorora kana software ichishanda sezvaidiwa, inonongedza chero kusasimba kana tsikidzi, uye pakupedzisira inosimudzira mashandiro ehurongwa.
Asi zvikwata zvesoftware zvinogona kuwana kupi iyi data? Ngatikurukurei izvozvo zvinotevera.
Test data inogadzirwa sei?
Iwe une nzira nhatu dzinotevera dzekuti gadzira bvunzo data kune purojekiti yako:
- Cherry-sarudza iyo data kubva kune iripo dhatabhesi, masking mutengi ruzivo senge ruzivo rwunozivikanwa wega (PII).
- Gadzira nemaoko realistic test data ine mutemo-based data applications.
- Gadzira synthetic data.
Zvikwata zvakawanda zveinjiniya yedata zvinotsamira pane imwe chete yenzira, kazhinji kazhinji kusarudza nzira inopedza nguva uye yekuedza-yakanyanya. bvunzo kugadzira data. Somuenzaniso, pakusarudza sampuli data kubva mumadhatabhesi aripo, zvikwata zveinjiniya zvinofanirwa kutanga zvazvibvisa kubva kune akawanda masosi, zvobva zvaita fomati, kukorobha, uye nekuzvifuka, zvichiita kuti ive yakakodzera kusimudzira kana nharaunda yekuyedza.
Rimwe dambudziko nderekuona kuti dhata inosangana nemaitiro ekuyedza: huchokwadi, kusiyana-siyana, hunyanzvi kune imwe mhinduro, mhando yepamusoro, uye kutevedzera mirairo yekudzivirira data rako. Zvisinei, matambudziko aya anogadziriswa nemazuva ano test data management nzira, dzakadai otomatiki bvunzo data kugadzira.
Iyo Syntho platform inopa huwandu hwekugona kubata aya matambudziko, anosanganisira:
- Smart de-identification kana chishandiso chinozivisa otomatiki ese PII, ichichengetedza nyanzvi nguva uye kushanda nesimba.
- Kushanda kwakatenderedza ruzivo rwakadzama nekutsiva PII uye zvimwe zviziviso nezvinogadzirwa data rekuseka iyo inoenderana nebhizinesi logic uye mapatani.
- Kuchengetedza kutendeseka nekuenderana nekuenderana data mepu pane dhatabhesi uye masisitimu.
Tichaongorora kugona uku mune zvakadzama. Asi kutanga, ngationgororei nyaya dzine chekuita nazvo kugadzira bvunzo data saka unovaziva uye unoziva magadzirirwo azvo.
Edza dambudziko re data mukuedzwa kwesoftware
Sourcing data test data ibwe rekona rekuedza kunoshanda. Nekudaro, zvikwata zveinjiniya zvinosangana nematambudziko akati wandei munzira yekuenda kune yakavimbika software.
Yakapararira data masosi
Dhata, kunyanya data rebhizinesi, rinogara kune zviuru zvezviwanikwa, zvinosanganisira legacy mainframes, SAP, hukama dhatabhesi, NoSQL, uye akasiyana makore nharaunda. Kupararira uku, pamwe chete nemhando dzakasiyana-siyana dzemafomati, kunonetsa kugadzira data kuwana zvezvikwata zvesoftware. Iyo inononoka zvakare maitiro ekuwana iyo data chaiyo yekuyedzwa uye mhedzisiro mukati data yebvunzo isiriyo.
Subset yekutarisa
Zvikwata zveinjiniya zvinowanzonetsekana nekugovanisa madhataseti makuru uye akasiyana ebvunzo kuita madiki, anonangwa maseti. Asi zvinofanirwa-kuita sezvo kurambana uku kunovabatsira kutarisa pane chaiyo kesi dzekuyedza, zvichiita kuti zvive nyore kuburitsa uye kugadzirisa nyaya uchichengeta huwandu hwe data rekuyedza uye mari inosanganisirwa yakaderera.
Kuwedzera kuvharwa kwebvunzo
Mainjiniya vanewo basa rekuita shuwa kuti bvunzo data yakazara zvakakwana kuti inyatso bvunzo inotsanangurwa kesi dzekuyedza, kuderedza kuremara density, uye kusimbisa kuvimbika kwesoftware. Nekudaro, vanosangana nematambudziko mukuedza uku nekuda kwezvinhu zvakasiyana, sekuoma kwehurongwa, zviwanikwa zvishoma, shanduko mumasoftware, kuvanzika kwedata uye kuchengetedzeka zvinetswa, uye scalability nyaya.
Realism mune test data
Kutsvaga kwechokwadi mune yedata data kunoratidza kukosha kwazvakaita kuratidza yepakutanga data values nokutendeka kukuru. Data rekuyedza rinofanirwa kufanana nemhoteredzo yekugadzira kudzivirira manyepo enhema kana zvakaipa. Kana chokwadi ichi chikasawanikwa, chinogona kukuvadza mhando yesoftware uye kuvimbika. Zvichipa izvo, nyanzvi dzinofanirwa kutarisisa kune zvakadzama sezvavanoita gadzirira test data.
Data refresh uye kugadzirisa
Data yekuyedza inofanirwa kugara ichigadziridzwa kuratidza shanduko munzvimbo yekugadzira uye zvinodiwa zvekushandisa. Nekudaro, basa iri rinouya nematambudziko akakura, kunyanya munzvimbo umo kuwana data kunogumira nekuda kwekutevedzwa kwemitemo. Kuronganisa data refresh denderedzwa uye kuve nechokwadi chekuenderana kwedata munzvimbo dzese dzekuyedza zvinova zvinhu zvakaomarara zvinoda kurongeka nekunyatsoteerera.
Matambudziko ane data chaiyo yebvunzo
Maererano neongororo yaSyntho pa LinkedIn, 50% yemakambani anoshandisa data rekugadzira, uye 22% vanoshandisa masked data kuedza software yavo. Vanosarudza data chaiyo sezvo zvichiita sechisarudzo chiri nyore: kopi data iripo kubva munzvimbo yekugadzira, isa munzvimbo yekuyedza, uye shandisa sezvinodiwa.
Zvisinei, kushandisa chaiyo data yekuongorora inopa matambudziko akawanda, kusanganisira:
- Kuvhara data kutevedzera mitemo yekuvanzika kwedata, dzivisa data security kutyora uye kutevedzera mitemo inorambidza kushandiswa kweiyo data chaiyo yekuedza zvinangwa.
- Kuisa data munzvimbo yekuyedza, iyo inowanzosiyana neyakagadzirwa nharaunda.
- Kuvandudza dhatabhesi nguva dzose zvakakwana.
Pamusoro pezvinetso izvi, makambani anonetsana nenyaya nhatu dzakakomba pakusarudza data chaiyo kuedza.
Kuwanika kushomeka
Yakaganhurwa, ishoma, kana yakapotsa data yakajairika kana vagadziri vanofunga data rekugadzira se data yebvunzo yakakodzera. Kuwana yemhando yepamusoro bvunzo data, kunyanya kune yakaoma masisitimu kana mamiriro, kunowedzera kuoma. Uku kushomeka kwedata kunokanganisa kuzara kwekuyedza nekuita maitiro, zvichiita kuti kuedza kwesoftware kusashande.
Nyaya dzekuenderana
Mitemo yakaomesesa yekuvanzika kwedata seCPRA neGDPR inoda kuchengetedzwa kwePII munzvimbo dzekuyedzwa, ichiisa miitiro yakaoma yekuteedzera pakuchenesa data. Muchirevo chechinyorwa chino, mazita chaiwo, kero, nhamba dzerunhare, uye maSSN anowanikwa mune yekugadzira data anotariswa zvisiri pamutemo data format.
Zvekuvanzika zvine hanya
Dambudziko rekuteerera rakajeka: kushandisa yepakutanga data rako pachako sezvo bvunzo data inorambidzwa. Kugadzirisa nyaya iyi uye kuona kuti hapana PII inoshandiswa kuvaka kesi dzekuyedza, vaedzi vanofanira kuongorora izvozvo kaviri nyoro data inocheneswa kana kusazivikanwa isati yaishandisa munzvimbo dzekuyedza. Nepo zvakakosha kune data security, basa iri rinotora nguva uye rinowedzera imwe nhanho yekuoma kwezvikwata zvekuedza.
Kukosha kwe data yemhando yebvunzo
Good test data inoshanda semusana weiyo yese QA maitiro. Icho vimbiso yekuti software inoshanda sezvainofanirwa, inoita zvakanaka mumamiriro akasiyana, uye inogara yakachengeteka kubva pakutyorwa kwedata uye kurwiswa kwakashata. Zvisinei, pane chimwe chikomborero chinokosha.
Unoziva here nezve shift-left test? Iyi nzira inosundira kuyedzwa kumatanho ekutanga muhupenyu hwekusimudzira saka hainonoke agile process. Kuyedzwa kweShift-kuruboshwe kunocheka nguva nemitengo ine chekuita nekuyedza nekugadzirisa gare gare mudenderedzwa nekubata nekugadzirisa zvinhu pachine nguva.
Kuti bvunzo dzekuchinja-kuruboshwe dzishande nemazvo, seti yedata inoteedzera inodiwa. Izvi zvinobatsira kusimudzira uye QA zvikwata zvinoedza chaiwo mamiriro. Otomatiki uye kugadzirisa manyorero maitiro akakosha pano. Iwe unogona kukurumidzira kupa uye kugadzirisa akawanda ematambudziko atakakurukura nekushandisa bvunzo yakakodzera maturusi ekugadzira data ine synthetic data.
Synthetic data semhinduro
A synthetic data-based test data management kuswedera pedyo inzira nyowani asi inoshanda zvakanaka yekuchengetedza hunhu paunenge uchitarisana nematambudziko. Makambani anogona kuvimba nekugadzirwa kwedata kukurumidza kugadzira data remhando yepamusoro.
Tsanangudzo uye maitiro
Synthetic test data idata rakagadzirwa zvisirizvo rakagadzirirwa kutevedzera mamiriro ekuyedza data ekuvandudza software. Nekutsiva iyo PII nedata rekuseka pasina chero ruzivo rwakadzama, synthetic data inoita test data management nekukurumidza uye nyore.
Synthetic test data inodzikisa njodzi yekuvanzika uye zvakare inoita kuti vanogadzira vaongorore zvine hungwaru mashandiro eapp, kuchengetedzeka, uye mashandiro ayo pane zvakasiyana-siyana zvingangoitika pasina kukanganisa sisitimu chaiyo. Zvino, ngationgororei zvimwe zvekugadzira data maturusi anogona kuita.
Gadzirisa kutevedza uye matambudziko ekuvanzika
Ngatitore mhinduro yaSyntho semuenzaniso. Kuti tigadzirise kutevedzera uye matambudziko ekuvanzika, isu tinoshandisa yakaoma data masking matekiniki pamwe neiyo-ye-iyo-iyo-iyo-iyo-PII yekuongorora tekinoroji. Syntho's AI-powered PII Scanner inozivisa otomatiki uye inomisa chero makoramu mumashandisi emushandisi ane akananga maPII. Izvi zvinoderedza basa remanyorero uye zvinova nechokwadi chekuonekwa kwe data rakadzikama, kudzikisa njodzi yekutyorwa kwedata uye kusateedzera mitemo yekuvanzika.
Kana makoramu ane PII aonekwa, chikuva cheSyntho chinopa data rekuseka seyakanakisa nzira yekuzivikanwa mune iyi kesi. Iyi ficha inodzivirira inonzwisisika yepakutanga PII nekuitsiva neinomiririra mock data iyo ichiri kuchengetedza referensi yekutendeseka yekuyedza zvinangwa mumadhatabhesi uye masisitimu. Izvi zvinowanikwa kuburikidza kuenderana kwekuita mepu, iyo inovimbisa kuti iyo yakatsiviwa data inoenderana nebhizinesi logic uye mapatani uku ichitevedzera mirau yakaita seGDPR neHIPAA.
Ipai zvakasiyana-siyana mukuedza
Yakasiyana-siyana yekuyedza data inogona kubatsira makambani kukunda dambudziko rekuwanikwa kwedata shoma uye kuwedzera bvunzo yekuvhara. Iyo Syntho chikuva inotsigira kuita kwakasiyana-siyana neyayo mutemo-based synthetic data generation.
Pfungwa iyi inosanganisira kugadzira bvunzo data nekutevera mirairo yakafanotsanangurwa uye zvipingaidzo kutevedzera data renyika chaiyo kana kutevedzera chaiwo mamiriro. Rule-based synthetic data generation inopa kuita kwakasiyana-siyana mukuyedza kuburikidza nemaitiro akasiyana:
- Kugadzira data kubva pakutanga: Rule-based synthetic data inoita kuti zvikwanise kugadzira data kana isina kukwana kana pasina chaiyo data iripo. Izvi zvinoshongedza vanoedza uye vanogadzira neiyo data inodiwa.
- Kuvandudza data: Inopfumisa data nekuwedzera mamwe mitsara nemakoramu, zvichiita kuti zvive nyore kugadzira makuru edataset.
- Flexibility uye customization: Nehutongi-hwakavakirwa maitiro, isu tinokwanisa kugara tichichinjika uye kuchinjika kune akasiyana dhata mafomati uye zvimiro, tichigadzira data rekugadzira rinoenderana nezvinodiwa chaizvo uye mamiriro.
- Kuchenesa data: Izvi zvinosanganisira kutevera mitemo yakafanotsanangurwa paunenge uchigadzira data kugadzirisa kusawirirana, kuzadza hunhu husipo, uye kubvisa. yakakanganiswa test data. Inovimbisa data data uye kutendeseka, kunyanya zvakakosha kana dataset yepakutanga iine zvisizvo zvinogona kukanganisa mhinduro dzekuedza.
Pakusarudza kodzero maturusi ekugadzira data, zvakakosha kuti utarise zvimwe zvinhu kuti uve nechokwadi chekuti zvinorerutsa basa rezvikwata zvako.
Pfungwa pakusarudza synthetic data maturusi
Sarudzo yezvigadzirwa zve data zvekugadzira zvinoenderana nezvido zvebhizinesi rako, kugona kwekubatanidza, uye data kuvanzika zvinodiwa. Nepo sangano rega rega rakasiyana, isu takatsanangura nzira dzakakosha dzekusarudza synthetic maturusi ekugadzira data.
Data realism
Ita shuwa kuti chishandiso chaunofunga inogadzira test data zvakada kufanana nedata renyika chaiyo. Ipapo ndipo paizonyatso tevedzera akasiyana siyana ebvunzo uye kuona zvingangoitika. Chishandiso chacho chinofanirawo kupa sarudzo dzekugadzirisa kutevedzera kwakasiyana kugovera data, mapatani, uye anomalies munzvimbo dzekugadzira.
Data kusiyana
Tsvaga zvishandiso zvinogona kugadzira sampuli data inovhara huwandu hwakawanda hwemakesi ekushandisa, kusanganisira akasiyana emhando dzedata, mafomati, uye zvimiro zvinoenderana nesoftware iri mukuedzwa. Izvi zvakasiyana-siyana zvinobatsira kusimbisa kana sisitimu yacho yakasimba uye inova nechokwadi chekuvhara bvunzo.
Kukwanisika uye kuita
Tarisa kuti chishandiso chinogona kuburitsa mavhoriyamu makuru e data yekugadzira, kunyanya yekuyedza yakaoma kana yakakwirira-vhoriyamu masisitimu. Iwe unoda chishandiso chinogona kukwira kuti chisangane nezvinodiwa zvedata zvebhizinesi-chiyero maapplication pasina kukanganisa kuita kana kuvimbika.
Data zvakavanzika uye chengetedzo
Isa pamberi maturusi ane akavakirwa-mukati maficha kuchengetedza ruzivo rwakadzama kana rwakavanzika paunenge uchigadzira data. Tarisa zvinhu zvakaita sekusazivikanwa kwedata uye kutevedzera mitemo yekudzivirira data kuti uderedze njodzi dzekuvanzika uye kutevedzera mutemo.
Kubatanidzwa uye kuenderana
Sarudza software inonyatso kuenderana neyako iripo yekuyedza kuseta kuti ifambise kugadzwa nyore uye kusanganisa mukufambisa kwesoftware. Chishandiso chinowirirana neakasiyana siyana ekuchengetedza data masisitimu, dhatabhesi, uye mapuratifomu ekuyedza anozonyanya kuenderana uye nyore kushandisa.
Semuyenzaniso, Syntho inotsigira 20+ dhatabhesi yekubatanidza uye 5+ faira system yekubatanidza, kusanganisira yakakurumbira sarudzo seMicrosoft SQL Server, Amazon S3, uye Oracle, kuve nechokwadi chekuchengetedza data uye nyore kugadzirwa kwedata.
Customization uye kuchinjika
Tsvaga maturusi anopa anochinjika magadzirirwo esarudzo kuti agadzirise synthetic data chizvarwa kune chaiyo yekuedzwa zvinodiwa uye mamiriro. Customizable parameters, senge mitemo yekugadzira data, hukama uye zvipingaidzo, zvinokutendera kuti ugadzirise data rakagadzirwa kuti rienderane nemaitiro ekuyedza uye zvinangwa.
Kunyora zvese
The zvinoreva test data mukuvandudza software haigone kuwedzeredzwa-ndiyo inotibatsira kuona nekugadzirisa kukanganisa mukushanda kwesoftware. Asi kutonga bvunzo data haisi nyaya yekurerutsira; zvakakosha pakutevedzera mirau nemitemo yekuvanzika. Kuita nemazvo kunogona kurerutsa basa rezvikwata zvako zvekusimudzira, kuchengetedza mari uye kuita kuti zvigadzirwa zvitengeswe nekukurumidza.
Ndiko uko synthetic data inouya inobatsira. Inopa data rechokwadi uye rakasiyana-siyana pasina basa rakawandisa renguva, kuchengetedza makambani achienderana uye akachengeteka. Iine maturusi ekugadzira data ekugadzira, kutonga bvunzo data kunova nekukurumidza uye kushanda nesimba.
Chikamu chakanakisa ndechekuti mhando yemhando yekuyedza data iri mukati mekusvikirwa nekambani yega yega, zvisinei nezvinangwa zvayo. Zvese zvaunoda kuti uite kutsvaga mupi anovimbika wezvigadzirwa zvekugadzira data. Bata Syntho nhasi uye bhuku demo remahara kuti uone kuti data rekugadzira rinogona kubatsira sei software yako yekuyedza.
Nezve vanyori
Chief Product Officer & Co-muvambi
Marijn ane ruzivo rwezvidzidzo mukombuta sainzi, engineering yeindasitiri, uye zvemari, uye kubvira ipapo akakunda mumabasa mukugadzirwa kwechigadzirwa chesoftware, data analytics, uye cyber chengetedzo. Marijn ave kuita semuvambi uye Chief Product Officer (CPO) kuSyntho, achityaira hunyanzvi uye chiono chehunyanzvi pamberi pehunyanzvi.
Sevha yako synthetic data gwara izvozvi!
- Chii chinonzi synthetic data?
- Sei masangano achiishandisa?
- Kukosha kuwedzera synthetic data client makesi
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