Ukuhlola okuzenzakalelayo kwamamodeli e-AI: amasu, amathuluzi, nemikhuba ehamba phambili

Informatec Digital » Izinsiza » Ukuhlola okuzenzakalelayo kwamamodeli e-AI: amasu, amathuluzi, nemikhuba ehamba phambili

Ukufika kobuhlakani bokwenziwa emaqenjini ekhwalithi kuguqule imithetho yegeyimu yokuqinisekisa isoftware, kanye nokuqinisekisa ikhwalithi uqobo. Ukuhlola okuzenzakalelayo kwamasistimu anamamodeli e-AIAsisakhulumi nje ngokuqhuba ama-suites amakhulu: sikhuluma ngokubeka phambili ngedatha, ukuphulukisa izivivinyo eziphukile ngokwazo, nokuhlaziya imiphumela, ku-AI, engahlali inambambili.

Ezinhlanganweni eziholayo, i-AI isetshenziselwa ukunciphisa isikhathi, ukonga umzamo, nokuthola amaphutha angenakwenzeka ezigabeni zokuqala. Ngenxa amasu ezifana ukufunda okuzenzakalelayoI-NLP kanye ne- umbono wekhompyuthaNamuhla kuyenzeka ukhiqize amacala okuhlola, wenze izivivinyo zokuziphilisa ngokuphendula izinguquko, futhi uqinisekise ngokubonakalayo izixhumanisi ngaphandle kokusebenzisa "amaphikseli wokuqhathanisa" wakudala.

Izinselelo zokuhlolwa kwendabuko nokuthi kungani i-AI ingena

Enye yezinkinga ezinkulu ngendlela yendabuko amasudi okuhlola angazinzile: ushintsha isikhethi, ushintsha ingxenye, futhi kungazelelwe inqwaba yemibhalo iyaphuka. Lokhu kubangela ukulungiswa futhi kubambezele ukuthunyelwa, okwandisa i- Isikhathi seMakethe ngoba ugcina ulahla amabhethri amakhulu ukumboza izinguquko ezincane.

Ngokubhekene nalobu buthaka, izinhlaka ziyavela UkuziphilisaUbuchwepheshe obufana ne-Healenium buthola izinguquko zesixhumi esibonakalayo futhi bakhe kabusha ngokuzenzakalelayo izindawo zisebenzisa ukufunda ngomshini. Umphumela: amapheshana okwenziwa ngesandla ambalwa, ukuzinza okukhulu, namasuite avumelana nendawo eshintshayo.

I-AI iphinde ikhanye ekuhlaziyeni ikhwalithi ebikezelayo. Ngamamodeli ahlaba umkhosi izindawo ezisengozini ngaphambi kokuthi afinyelele ekukhiqizeni, amaqembu angakwazi beka kuqala ukuhlolwa lapho kubaluleke khona ngempela, ukusebenza ngokuqhubekayo esikhundleni sokuziphendulela.

Futhi uma sikhuluma ngokuhlolwa okubukwayo, ukweqa kucacile: izindlela ezisetshenziswayo azilingani, futhi umehluko we-bitmap wezinga le-pixel uhlushwa "inkinga yesifinyezo" esesabekayo. Ama-algorithms wesimanje qhathanisa ubudlelwano nezakhiwo (ukuba khona kwama-elementi, ukuma okuhlobene) esikhundleni semibala eqondile, enciphisa ukuphozithiza okungamanga ngisho nokuqukethwe okushukumisayo njengezindaba noma izikhangiso.

I-automation ehlakaniphile: kusukela ekukhiqizeni amacala kuya ekuhlolweni kokuphulukisa

Okuzenzakalelayo "kuma-steroids" kuza lapho sihlanganisa i-ML ne-NLP ukuze khiqiza futhi wenze amacala okuhlola ngokuzenzakalelayo. Lokhu kunweba ukumbozwa, kusheshise ukwenziwa, futhi kwembule amaphutha afihliwe kusukela ekuqaleni kwentuthuko.

Ngaphezu kwalokho, izindawo zokuhlola ukuzelapha zikhulula iqembu le-QA emisebenzini eyisicefe: uma isibaluli noma isigaba se-DOM sishintsha, injini ilungisa izitholi ngaphandle kokungenelela komuntu. Ngalokhu ukuzivuselela Ukugcinwa kuyancipha futhi ama-suites aba namandla kakhulu.

Ukwenza kahle okuqhubekayo kungenye futhi: izinjini ze-AI zifunda ekubulaweni futhi zilungise isu. Okusebenzayo kuyathuthukiswa, futhi okungadingekile kuyaqedwa, kufinyelelwe a ukubeka phambili okunempumelelo kakhudlwana kanye nokuqondanisa okukhulu nezinjongo zebhizinisi.

Ama-bots okuhlola nawo ayasebenza, kusetshenziswa amamethrikhi afana nokufakwa, izinguquko zekhodi, nesimo se-suite ukunquma ukuthi yini okufanele iqalise ekuphindaphindweni ngakunye. Lokhu "ubuchopho" kunciphisa ukubulawa okungadingekile kanye kusheshisa ukudiliva Ngaphandle kokulahlekelwa yikhwalithi.

Lapho i-SUT iyimodeli ye-AI: akukhona konke ukudlula/ukuhluleka

Kunombono obalulekile: Izinhlelo ze-AI azinqumi. Okokufaka okufanayo kungakhiqiza okuphumayo okuhlukile, ngakho-ke isinqumo kanambambili asisavumelekile. Siyadinga amamethrikhi amaningi (ukunemba, ukukhumbula, i-F1, ukuchema, ukuzinza kwesikhashana, njll.) ukuhlola ukuqondanisa nezidingo.

Ngaphezu kwalokho, amamodeli afunda futhi azivumelanise nezimo. Lokhu kudinga ukuqinisekiswa okuqhubekayo: akwanele ukuqinisekisa inguqulo eyodwa bese ukhohlwa ngayo, ngoba imodeli ingashintsha. thola ukuziphatha kwabo ngedatha entsha noma izindawo. Amasu okuhlola kufanele acabangele lo mjikelezo wempilo.

Ukuhlolwa okubukwayo: okwenziwa ngesandla, okuzenzakalelayo kwakudala, kanye ne-AI-powered

Ekuhloleni okubukwayo okwenziwa ngesandla, ithimba liqhathanisa izikrini ukuze lithole umehluko. Isebenza ngezinga elincane, kodwa ngezinhlanganisela eziningi zesiphequluli, i-OS, nosayizi besikrini, iba... okungasebenziseki gcina leyo ndlela esikalini.

Ukuskena okuzenzakalelayo kwakudala kuthwebula ama-bitmaps futhi kuqhathanise amanani we-hexadecimal pixel nge-pixel. Ihlala ithola izinguquko zomumo, kodwa ihlushwa ukuvuma okungamanga ngenxa yokungaguquki, amafonti, noma ukuhluka okuncane, ikakhulukazi okuqukethwe okunamandla.

Inguqulo enikwe amandla yi-AI ingena esikhundleni sokuqhathaniswa kwephikseli nokuhlaziywa kobudlelwano nezakhiwo. Lokhu kwehlukanisa phakathi kwezinguquko zokuklama ngamabomu namaphutha angempela, okuvumela ukuqinisekiswa. inhloso ebonakalayo ngaphandle kokudinga indawo emile.

Empeleni, lezi zindlela zihlanganisiwe. I-AI yenza ukuhlola okukhaliphile kokuqala futhi, lapho ithola khona ukungafani okukhulu, igxila ekuhloleni ukuhlolwa okuphelele ukuqinisekisa nokuxilonga.

Izinzuzo ezibalulekile nokusetshenziswa njalo kwe-AI ku-QA

I-AI iletha i-automation ehlakaniphile ecubungula imiqulu emikhulu yedatha ngokushesha nangokunembe kakhudlwana kunezindlela zendabuko, okwenza kube lula ukutholwa kusenesikhathi kanye nokufakwa okungcono.

Mayelana nokusebenza, ilingisa imithwalo engokoqobo, ihlonza izingqinamba, futhi ilindele ukuwohloka. Ekusebenzisekeni, ihlaziya ukusebenzisana futhi iphakamise ukuthuthukiswa. Ekuvikelekeni, ithola ubungozi nge ukuhlaziya okumile kanye nokumodela okuyingozi.

Leli khono lokubeka phambili ubungozi, ukwaba izinsiza, kanye nokulungisa ngokuqhubekayo indlela yokwenza lenza i-AI ibe yithuluzi elinamandla ukwenza kahle okuqhubekayo kuwo wonke umjikelezo wokuphila wokuhlola.

Amathuluzi olimi lwemvelo nokusekelwa kwe-QA

Amamodeli olimi nezinkundla zokuxhumana zisiza izidingo zedokhumenti, zithuthukise indlela yokwamukela, futhi zisheshise ukubhala kokuhlolwa. Phakathi kwezinketho ezishiwo, izinjini ezikhiqizayo ezifana I-ChatGPT (isekelwe ku-GPT-3)izinsiza zokuqonda kumagumbi afana ne-Azure AI kanye abasizi bezingxoxo njenge-BARDUkukhetha kuncike ezidingweni zokubambezeleka, izindleko, amakhono, futhi, okubaluleke kakhulu, ubumfihlo bedatha.

Lolu sizo luphinde lusize ukuxhumana kwe-PO-QA, lunciphise ukungaqondakali, futhi lumise imibhalo, ishiye ukuqinisekiswa kokugcina ezandleni zomuntu.

Ukusebenza okunamandla kwesevisi ye-AI kanye nokuhlolwa kwe-ejenti

Kusendlalelo sokuhlanganisa, umsizi osekelwe engxoxweni ohlanganiswe ku-Virtualize UI ukhiqiza amasevisi abonakalayo kusuka ezincazelweni ze-API, ukupheya kwesicelo/impendulo, noma izincazelo. I-AI iphatha imisebenzi yokumisa eyinkimbinkimbi, izimpendulo zamapharamitha, futhi iphakamisa izixazululo. amanani azenzakalelayo ezanele.

Lokhu kuhambisana nokugeleza komsebenzi kokuqala kwe-API ukuze kuhlolwe ngokushesha nangcono, ngisho noma amasistimu angempela engatholakali. Ngaphezu kwalokho, i-Virtualize inika amandla ukuhlola izinhlelo zokusebenza ezinamandla ze-AI ezisebenzisa i- I-Model Context Protocol (MCP), ukulingisa nokulawula amaseva e-MCP ancike ukuze kuqinisekiswe ama-generative agents.

Izinzuzo ezibalulekile: ukukhiqiza ngokushesha amasevisi abonakalayo ngolimi lwemvelo noma izincazelo zesevisi futhi ususe izinyathelo ezenziwa ngesandla ngenxa ye ezenzakalelayo parameterization kanye nokulungiswa.

Ukunciphisa isikhathi sokuhlola kanye namathuluzi amele

Amasudi okuhlola athuthukisiwe e-AI anganciphisa isikhathi sokuhlola kufika ku-80% ngokudala, ukugcina, nokusebenzisa izivivinyo ngokuhlakaniphe kakhulu, ukuzivumelanisa nezinguquko ze-UI ngaphandle kokubhala kabusha imibhalo. Izibonelo: I-Mabl (ukuhlehla okubonakalayo nokusebenza), i-ACELQ (ayikho ikhodi ene ukuzivuselela), I-Applitools Eyes (i-advanced visual) kanye ne-Functionize (NLP yokukhiqiza amacala okuhlola).

Ukuze uhlele amathuluzi amaningi, izinkundla ezifana ne-Latenode zenza imisebenzi ephindaphindayo ngokuzenzakalelayo, hlanganisa idatha, futhi ulawule imiphumela. Lokhu kwenza kube lula ukuhlola iwebhu, iselula, ne-API, futhi kunciphise isikhathi sokuthuthukisa. imijikelezo yokulethwa ezimweni eziyinkimbinkimbi.

Izimo zomhlaba wangempela zibonisa umthelela: kwezentengiselwano ze-e-commerce, izindawo ezihlakaniphile kanye nokuziphilisa kunciphisa ukulungiswa; kuselula, ukwenziwa okusabalalisiwe kuthuthukisa ukutholakala kanye ukutholwa amaphutha kudivayisi ngayinye; kuma-API, ukukhiqizwa kwezimo ezingokoqobo kunciphisa amaphuzu angamanga futhi kusheshise ukuhlanganiswa; emibonweni, i-AI ihlukanisa umklamo wamabomu emaphutheni; esipheqululini esiphambanayo, ukuqhathanisa okuzenzakalelayo Babona izinkinga ezithile ngesiphequluli.

Ngokusho kokuhlangenwe nakho okwabiwe, ukutshalwa kwezimali kulawa mathuluzi kubuyiswa ngokushesha ngenxa yokuhlanganiswa komkhiqizo okhuphukile kanye nokufinyelela kaningi emakethe, ikakhulukazi uma kuhlanganiswe Amapayipi e-CI/CD.

I-orchestration egelezayo nge-Latenode

Nakuba amathuluzi akhethekile enza ukuhlola kahle kakhulu, umzamo omningi (idatha, imibiko, ukuhlanganiswa) usingathwa kangcono nezinkundla ezizenzakalelayo ezizenzakalelayo. Lapha yilapho i-Latenode ihamba phambili. xhuma ama-ecosystems ukuhlola ngokuhlanganisa okungaphezu kuka-300 kanye nomakhi obonakalayo ofinyelelekayo.

Ukugeleza komsebenzi okujwayelekile: Ukukhiqizwa kwamacala anamandla e-AI nge-HTTP, ukusetshenziswa ezindaweni eziningi, isitoreji esimaphakathi, nokubika eziteshini ezifana ne-Slack noma i-imeyili; yeselula, iqala ngokuthi Ama-webhooks e-GitHubIhlaziya izinguquko, ikhiqize izimo, iqhube izivivinyo, futhi ivule amathikithi ngesi-Jira; kuma-API, ihlanganisa amaqoqo e-Postman ne-AI ngamacala asemaphethelweni, isebenzise nge-REST, futhi ibuyekeza amadeshibhodi ngesikhathi sangempela.

Imisebenzi ehlukene: isiphequluli esingenakhanda esizenzakalelayo esinesizindalwazi esimaphakathi, ukuxhumana kwamamodeli amaningi (isb., i-GPT-4 yokukhiqiza, uClaude wokuhlaziya ikhodi kanye Gemini ukuhumusha imiphumela) nokuhlanganiswa okubanzi kwe-CI/CD, ukuphathwa kokuhlolwa nokuxhumana.

Ngamaphrojekthi angaphezu kuka-200, babika ukuncishiswa okufika ku-50% kubunzima benqubo ngokusebenzisa i-orchestration yokuphela-kuya-ekupheleni. Ngaphezu kwalokho, i-Latenode iveza izindlela ezingcono kakhulu zokwamukelwa ukuze i-AI ingabi ubuchwepheshe obubodwa, kodwa kube umzamo wokubambisana. ukugeleza okuhlangene.

Ukukhetha kahle: izici zokukhetha kanye nemikhuba engcono kakhulu

Izici ezibalulekile zokukhetha: izakhiwo (iwebhu yesimanje iqhathaniswa nefa iqhathaniswa neselula yomdabu), ubuchwepheshe beqembu (ukwenza ngendlela oyifisayo okuthuthukisiwe uma kuqhathaniswa nekhodi ephansi/ayikho), ukuhlanganiswa ne CI/CD kanye nokuphathwa kokuhlolwa, izindleko eziphelele zobunikazi kanye nezidingo ze ukuhambisana nokuphepha (ukubethela, ukuhlola, i-RBAC, inqubomgomo yedatha).

Imikhuba emihle kakhulu: setha izinjongo kanye namamethrikhi empumelelo kusukela ekuqaleni; sebenzisa amaphrojekthi okulinga anomkhawulo ukuze alinganise izikhathi zokusetha kanye nokulungisa; tshala imali ukuqeqeshwa kanye nokuguqula ukuphathwa; ukuhlanganisa i-orchestration ukumboza ukudalwa kwedatha, ukuhlaziya imiphumela nokubika; ukusungula ukubusa kanye nokubuyekezwa ngezikhathi ezithile kwe-suite; futhi unakekele ukuphathwa kwedatha kanye nezindawo zokuhlola.

Lapho lezi zakhi zihlangana ndawonye, ​​i-AI iyayeka ukuba isithembiso futhi iba isisetshenziswa sangempela sokusebenza kahle, ngokulungiswa okuncane, ukumbozwa okukhulu, nemijikelezo emifushane. beshesha ngokwengeziwe.

I-AI Test Generation and Optimization

I-AI isiza ukwakha imodeli yesistimu ngaphansi kokuhlolwa futhi, ukusuka lapho, ikhiqiza ngokuzenzakalelayo amacala ahlanganisa izindlela nezifunda. Lokhu isizukulwane esekwe kumamodeli Incike kumagrafu, ukuhlaziya okumile, kanye ne-NLP ezidingweni.

Ukuze uthole idatha, amasu okuhlanganiswa (ama-GAN, ama-autoencoder) adala amasethi edatha angokoqobo ngaphandle kokuveza ulwazi olubucayi, alungele ukulayisha, ingcindezi, noma ukuhlola ukuthobelana okufana I-GDPR.

Kumodi yokuhlola, i-AI iphakamisa izindawo ezishisayo, imizila, nezinhlanganisela zedatha okungenzeka ukuthi ukwehluleka, kuncike ukuqinisa ukufunda kanye nokuhlaziywa kweseshini yomsebenzisi.

Ukwenza kahle okufanelekile kufaka phakathi ukubeka phambili (okuzokwenziwa ngemuva koshintsho ngalunye), ukuthenwa kokuphindiwe, kanye ukuphulukiswa okuzenzakalelayo Ukuhlolwa kwe-UI uma izici noma izibaluli zishintsha.

Izinyathelo zokuyithatha: khomba lapho ilimaza khona kakhulu (ukudala, ukugcinwa, ukufakwa), qoqa idatha yomlando, khetha amathuluzi (ezohwebo noma i-OSS) futhi uqale kancane ngabashayeli bezindiza, ukulinganisa umthelela kanye nokuqeqesha iqembu ukuhumusha yemiphumela.

Amajeneretha ekesi okuhlola anikwe amandla yi-AI: ukubuka konke kanye nokusetshenziswa

Amajeneretha okuhlola esimanje aguqula izimfuneko, izindaba zabasebenzisi, kanye nethrafikhi yomhlaba wangempela ibe izivivinyo ezisebenzisekayo, ezibeka kuqala ngokusekelwe emlandweni wokungaphumeleli, futhi zibuyekeze ngokuzenzakalelayo izivivinyo ezithintwa izinguquko. Phakathi kwamathuluzi ashiwo kukhona: I-Keploy (irekhoda amakholi e-API futhi idale amasuite e-CI/CD-ready ready and mocks), Testim (E2E with auto-healing), Testsigma (ulimi lwemvelo kuya emibhalweni), i-Mbl (iyasebenza futhi ibonakala emafini), Functionize (imodeli ethuthukisiwe yokuhlola okuguquguqukayo) kanye ne-Appvance IQ (i-generative AI yokufakwa esikalini).

Izinzuzo: ukumbozwa okukhulu okuhlanganisa amakesi asemaphethelweni, umzamo omncane owenziwe ngesandla, impendulo esheshayo ye-CI, ukonga kusuka ku-QA encane yamanuwali, izivivinyo zokuziphilisa ebusweni bezinguquko kanye nokunemba lapho ufunda emaphethini okuhluleka.

Izimo ezijwayelekile: ukuhlehla okuthuthukayo ngokuzibophezela ngakunye, i-API esekelwe kuthrafikhi yangempela, i-UI eqinile ezinguqukweni, ukuguqulwa kwezimfuneko zibe ukuhlola okuzenzakalelayo, kanye ukusebenza ngemithwalo esekelwe kumamodeli.

Imikhuba emihle yokuhlanganisa: yenza izivivinyo kuwo wonke amabhilidi, xhumanisa imiphumela kumphathi wenkinga, ukuhlola okukhiqizwa ibhalansi nokuhlola okuhlola, kanye nama-artifact okuhlola enguqulo ahambisana nekhodi ukuze asebenzisane ngokugcwele. ukulandelelaAmafemu afana ne-Q2BSTUDIO ahlanganisa lezi zixazululo kumaphrojekthi enziwe ngokwezifiso, ahlanganisa i-AI, ukuphepha, namafu.

Amathuluzi abalulekile nolwazi kumaphrojekthi wangempela

Phakathi kwezinkundla ezikhonjwe amaqembu anolwazi: Fakaza isheshisa ukuhlolwa okusebenzayo kanye ne-UI ngezindawo ezihlakaniphile kanye nesizukulwane esinamandla e-AI; Qase ilawula ukuhlola futhi iguqule amacala okwenziwa ngesandla abe awazenzakalelayo, namadeshibhodi nokuhlanganisa; I-Sauce Labs Inikeza ulwazi oluhlanganisiwe lwesiphequluli esiphambanayo namadivayisi angempela anemininingwane exhaswe yi-ML; Ama-Applitools Thuthukisa okubonwayo (okuhlanganisa nama-PDF) nge-“Visual AI” ye ukuhlehla kanye nezinguquko zokuklama.

Kokuqukethwe nasendaweni, Spling Ihlola isipelingi nohlelo lolimi ngokuqonda umongo okuthuthukile, luwusizo ekuqinisekiseni imilayezo namafomethi ngezilimi eziningi. Ekufinyeleleni kwe-OSS, I-Ax DevTools Iguqulela ngokuzenzakalelayo ukugqama, ukuzulazula kwekhibhodi, futhi ilebula i-OCR; ukuze kuthotshelwe ukuhweba, I-AccessiBe Ukusekelwa kwe-WCAG/ADA/EAA ngokulungiswa okunamandla e-AI nokusekelwa kochwepheshe.

Ngokuhambisana okukhulu, IsiphequluliStack Yengeza okuzenzakalelayo kwekhodi ephansi, ukuhlola okubukwayo noPercy, nokuphathwa kokuhlolwa; ihlanganisa nokuziphilisa, Izinyathelo ze-NL nezikhathi zokulinda ezihlakaniphile. Esizukulwaneni esixhumene ne-ALM, I-AI Test Case Generator Dala amacala aphelele e-Jira noma e-Azure ngama-ID, izinyathelo, nemiphumela elindelekile.

Ku-API ecosystem, I-Postbot U-Postman usiza ngokubhala imibhalo, ukudala ukuhlolwa, ukubona ngeso lengqondo, nokususa iphutha kusetshenziswa ulimi lwemvelo. Njengenye indlela, i-OSS... I-Testcraft (isandiso sesiphequluli) sikhiqiza imibono yokuhlola nemibhalo ye-Playwright, i-Selenium noma i-Cypress, futhi ithola izinkinga zokufinyeleleka ngaphakathi kwesiphequluli ngokwaso.

Baqedwa nge Yenza umsebenzi (Abenzeli be-AI bokusebenza okuzenzakalelayo nokulungiswa), Abahloli.ai (ama-ejenti okuhlola nokutholwa okuzenzakalelayo), I-Momentic.ai (izindawo zokuzipholisa kanye nokugomela kolimi lwemvelo) kanye I-TestGrid (iwebhu, iselula, i-API, ukusebenza kanye ne-IoT emafini, emagcekeni kanye ne-hybrid nge I-CoTester AI).

Izinkomba, ukutholwa kanye nendlela yomuntu

Ngokwamamethrikhi, ukonga okufika ku-80% ngesikhathi sokuhlola kanye no-70% ekulungisweni kubikwa nge-AI. Ngokusho kwedatha okwabelwana ngayo, u-57% wezinhlangano usuvele usebenzisa i-AI ekuhloleni kanti u-90% uhlela ukukhulisa utshalomali, ngemakethe elinganiselwe Izigidi ezingu-3,4 ngo-2033. Ngokuhambisanayo, ama-72% ezinkampani azobe esebenzise i-AI okungenani emsebenzini owodwa webhizinisi.

Noma kunjalo, akufanelekile ukuwela ogibeni lwezinhlelo "ezizenzakalelayo ngokugcwele". Izixazululo ze-AI kufanele khulisa Ukuhlanganisa nokusebenza kahle akufanele kuthathe indawo yokwahlulela komuntu. Kusenendawo enkulu lapho ukwakhiwa kwemibono yochwepheshe kubalulekile, ikakhulukazi ezizindeni ezibucayi noma lezo ezinezidingo ze... usability okuyinkimbinkimbi.

Ukuhlola okuzenzakalelayo kwamamodeli we-AI nesofthiwe yesimanje kuncike esizukulwaneni esihlakaniphile nasekubekeni phambili, ukuzelapha, okubonwayo okunamandla e-AI, ama-bots okukhetha, ukwenziwa kwezinto ezibonakalayo okusizwayo, kanye ne-orchestration. Ngenhlanganisela efanele yamathuluzi (kusuka ku-ACELQ kuya ku-TestGrid, kusukela ku-Applitools kuya ku-BrowserStack), imikhuba engcono kakhulu (ama-pilot, amamethrikhi, ukuphatha, idatha), nezinkundla zokugeleza komsebenzi ezifana ne-Latenode, amaqembu azuza isivinini, anciphisa ukulungiswa, futhi athuthukise ikhwalithi ngaphandle kokudela ukusebenza kahle. isilawuli abantu