Kuyesa kwa OpenText Evolve Software Kwa Stellar Application

Zofotokozera:

• Dzina lazogulitsa: Kuyesa Kwadongosolo kwa Mapulogalamu
• Mawonekedwe: Kuyesa magwiridwe antchito, Kuyesa kwantchito, Zodzichitira, Luntha
• Ubwino: Kuchita bwino bwino, kulondola, kuthamanga, kusasunthika kwa ntchito, kudalirika

Zambiri Zamalonda:
Pulogalamu ya Software Testing Evolution imayang'ana kwambiri pakukweza kulimba kwa ntchito, kudalirika, komanso kuthamanga kudzera mu magwiridwe antchito ndi kuyesa magwiridwe antchito. Ikugogomezera kufunikira kwa kuyesa kwa mapulogalamu powonetsetsa kuti mapulogalamu akukwaniritsa miyezo yoyembekezeka yaubwino ndi magwiridwe antchito.

Malangizo Ogwiritsira Ntchito Zogulitsa

Automation ndi Intelligence:
Chogulitsacho chimayambitsa makina ndi luntha kuti asinthe njira zoyesera, kukonza bwino, ndikuwongolera kulondola.

Zochita Zabwino:
Tsatirani machitidwe abwino monga mgwirizano, kuphatikiza, ndikusintha kosalekeza kuti mukwaniritse ntchito zabwino kwambiri.

Mawu Oyamba: Gwiritsirani ntchito liwiro la kusintha
Kuti mabungwe asunthe ndi kupanga zatsopano mwachangu kuti akwaniritse zofuna za msika ndi makasitomala, chitukuko cha mapulogalamu chikuyenera kuyenderana ndi kulimba mtima ndi liwiro lomwe akufuna. Tsoka ilo, machitidwe opangira mapulogalamu atha kukhala ovulaza, m'malo mothandizira, magwiridwe antchito. Kuyesa kwa mapulogalamu, gawo lofunika kwambiri la chitukuko cha mapulogalamu, nthawi zambiri limakhala lopanda ntchito. Nthawi zambiri amakhudzidwa ndi zida zoyambira, njira zamabuku, antchito ochepatages, kuyezetsa kunachitika mochedwa kwambiri pakukula kwa moyo, komanso kusowa kwa mgwirizano. Kuyesa kukapanda kukonzedwa bwino ndipo kumachitidwa payekhapayekha, pamakhala chiwopsezo cha nthawi, ndalama, ndi zinthu zomwe zingawonongedwe, kutumizidwa kwa mapulogalamu kumachedwa, komanso kudalira kwamakasitomala kumasokonekera ngati zomwe ogwiritsa ntchito sachita monga momwe analonjezera. Komabe pali nkhani yabwino: tili mkati mwa pulogalamu yoyeserera. Zida zikupanga kuphatikiza komwe kumafunikira, mgwirizano, makina odzipangira okha, komanso luntha - zomwe zimabweretsa kuwongolera bwino, kulondola, komanso kuthamanga. Tiyeni tifufuze zomwe zingatheke ndi zamakono zamakono zogwirira ntchito ndi kuyesa ntchito, njira zabwino zoperekera mapulogalamu apamwamba, ndi zomwe zikufunika kuti chitukuko cha mapulogalamu chikhale chosavuta, chowongoka, komanso chotsika mtengo.

Kufunika koyesa mapulogalamu

Kuyesa kwa mapulogalamu ndi njira yowunika, kutsimikizira ndi kutsimikizira kuti pulogalamuyo imachita zomwe ikuyenera kuchita. Ndi za kusonkhanitsa luntha ndi chidziwitso chochuluka momwe mungathere ndikuyesa zochitika zosiyanasiyana zoyesa kuti muzindikire zovuta zomwe zingakhudze magwiridwe antchito, magwiridwe antchito, chitetezo, komanso zomwe ogwiritsa ntchito azigwiritsa ntchito. Kufunika kwa kuyesa kwa mapulogalamu sikungatheke. Za exampLe, mu June 2024, kusinthidwa kolakwika kwa mapulogalamu kuchokera kwa ogulitsa cybersecurity, CrowdStrike, kudadzetsa kufalikira padziko lonse lapansi.tages, kukhudza ndege, mabanki, ndi ntchito zadzidzidzi ndikudzutsa mafunso okhudza kuyesa kwa mapulogalamu a kampani. Kuyesa kukachitika moyenera, makampani amatha kusunga ndalama zambiri zachitukuko ndi chithandizo. Amatha kuzindikira mwachangu ndikuwongolera zovuta zokhudzana ndi magwiridwe antchito, kapangidwe kake, chitetezo, scalability, ndi kapangidwe kake chinthu chisanagulitsidwe.

Njira zisanu zoyesera mapulogalamu zimakweza moyo wa chitukuko cha mapulogalamu

1. Imathandizira kutulutsidwa kwa mapulogalamu pa nthawi
2. Kumatsimikizira khalidwe ndi ntchito
3. Amachepetsa chiopsezo pozindikira vuto msanga
4. Zimatsimikizira kugwiritsidwa ntchito
5. Imayendetsa zowonjezera mosalekeza

Njira zisanu ndi imodzi zoyeserera bwino

Pali mitundu yambiri yoyesera mapulogalamu-iliyonse ili ndi zolinga zake ndi njira zake-zomwe zimagwira ntchito yofunika kwambiri powonetsetsa kuti chomaliza chikukwaniritsa miyezo yoyembekezeka yaubwino ndi magwiridwe antchito.

Nazi njira zabwino zomwe ziyenera kugwiritsidwa ntchito poyesa njira zothandizira pulogalamu yonse yopanga mapulogalamu:

1. Pangani kuyezetsa patsogolo: Sinthani kuyesa kuchoka pamalingaliro kupita patsogolo.
2. Khalani ochezeka: Gwiritsani ntchito njira ndi mwambo kuti muyesetse msanga komanso pafupipafupi.
3. Gawani zowunikira ndi zomwe mwaphunzira: santhulani ma metrics kuti mulimbikitse machitidwe abwino ndi madera omwe mungawongolere pamapangidwe, chitukuko, ndi magulu oyesera.
4. Wonjezerani mgwirizano: Yambitsani gulu kuti lipeze ntchito zoyesa, ndandanda, ndi zotsatira.
5. Harmonize zida zoyesera: Onetsetsani kuti zida zoyesera zimagwira ntchito limodzi ndikuphatikizidwa mwamphamvu.
6. Chepetsani masitepe apamanja: Ingosinthani momwe zingathere.

Njira yosinthika: Kuyambitsa zodziwikiratu ndi luntha
Kubweretsa ma automation ndi AI pakuyesa mapulogalamu ndi njira yotsimikizika yowonjezerera kuchita bwino, kuchita bwino, komanso kuphimba.

• 60% yamakampani ati kuwongolera zinthu zabwino ndi zina mwazifukwa zomwe bungwe lawo limapangitsa kuyesa kwa mapulogalamu1
• 58% adati bungwe lawo lidakhudzidwa ndi chikhumbo chowonjezera liwiro la kutumiza2

Pambuyo poyesa pulogalamu yamapulogalamu, mabungwe amafotokoza:3 

1. Gartner, Automated Software Testing Adoption and Trends, 2023
   GARTNER ndi chizindikiro cholembetsedwa ndi ntchito ya Gartner, Inc. ndi/kapena mabungwe ake ku US ndi kumayiko ena ndipo amagwiritsidwa ntchito pano ndi chilolezo. Maumwini onse ndi otetezedwa.
2. Ibid.
3. Ibid.

Kuyesa magwiridwe antchito: Chifukwa chiyani ndikofunikira

Kuyesa kagwiridwe ka ntchito kumatsimikizira kukhazikika, kuthamanga, scalability, ndi kuyankha kwa pulogalamu yomwe ili ndi ntchito zosiyanasiyana. Pamafunika luso lakuya laukadaulo komanso kutenga nawo mbali m'magulu angapo, kuyesa magwiridwe antchito kumaganiziridwa kuti ndizovuta komanso zovuta. Kufika patali, kumaphatikizapo kuyezetsa katundu, kuyesa kupsinjika, kuyesa scalability, kuyesa kupirira, ndi zina zambiri. Ndikofunikira kutsimikizira momwe mapulogalamu amagwirira ntchito musanatulutsidwe kumalo amoyo kuti muzindikire zovuta zomwe zingachitike pamapulogalamu - zonsezi zitha kusokoneza wogwiritsa ntchito:

• Nthawi yoyankhira nthawi yayitali kapena yosakwanira
• Nthawi zocheperako
• Kuchulukitsidwa kwapang'onopang'ono kwa kuchuluka kwa ogwiritsa ntchito
• Zolepheretsa magwiridwe antchito
• Zogwiritsidwa ntchito mochepera komanso / kapena zogwiritsidwa ntchito mopitilira muyeso (CPU, kukumbukira, bandwidth)

Kuyesa kagwiridwe ka ntchito kumapanga zambiri, zomwe zimafuna nthawi yambiri, kuchitapo kanthu pamanja. Mwa kubweretsa makina panjira yovutayi, zovuta zimatha kudziwidwa mwachangu, ndikuwonjezera kusasinthasintha komanso kubwerezabwereza pamachitidwe oyesera - kupititsa patsogolo mosalekeza.

Kuyesa magwiridwe antchito: Mipata yodziwika ndi zovuta
Gawo loyesa magwiridwe antchito a pulogalamu yopangira mapulogalamu ndilofunika, koma nthawi zambiri zimakhala zosavuta kunena kuposa kuchita.

Mavuto omwe nthawi zambiri amalepheretsa kuyesa ndi kufikira ndi awa:

Kugwirizana kochepa
Zochita zapang'onopang'ono zimabweretsa kubwereza kwa zoyeserera ndi opanga, mainjiniya ogwira ntchito, ndi akatswiri.

Kuvuta kwa ntchito
Kuchuluka kwa matekinoloje ndi ntchito, kuphatikizidwa ndi mipata yofikira, zitha kukakamiza magulu kuti asankhe zomwe angayesere komanso komwe angayese.

Kuchuluka kwa data
Ogwira ntchito amatha kuvutika kuti afufuze zomwe zimayambitsa, zomwe zimapangitsa kuti zikhale zovuta kuzindikira zovuta ndikutanthauzira molondola momwe ntchitoyo ikuyendera.

Zosatheka zapaintaneti
Kulephera kutengera zochitika zenizeni komanso kuyembekezera zovuta zenizeni, monga kufunikira kwa nyengo.

Mfundo yopingasa
Zofunikira pakupanga mayeso osiyanasiyana ndi zida zolembera zimakhudza kutengera mwachangu komanso kugwiritsa ntchito mosavuta.

Kukwera mtengo
Kusamalira katundu woyezetsa ndi ndalama zogwirira ntchito kumawonjezeka, kuyika chiwopsezo pa bajeti yazantchito ndi zida.

Kuyesa kogwira ntchito: Chifukwa chiyani kuli kofunika

M'malo othamanga kwambiri popanga mapulogalamu, kuyezetsa kogwira ntchito ndikofunikira kuti zitsimikizire kuti mayankho akugwira ntchito monga momwe amayembekezeredwa, malinga ndi zofunikira za pulogalamuyo. Mwanjira ina: kutsimikizira zomwe pulogalamu kapena pulogalamu yamapulogalamu ikuyembekezeka kukhala nazo. Za example, pa gawo lolipirira, zochitika zoyeserera zingaphatikizepo ndalama zingapo, njira zogwirira ntchito manambala a kirediti kadi omwe anatha ntchito, ndi kupanga zidziwitso mukamaliza kuchita bwino.

Kuyesa kogwira ntchito ndikofunikira pakukula kwa pulogalamuyo, kumapereka maubwino anayi:

1. Tsimikizirani zotsatira za ogwiritsa ntchito: Imayang'ana ma API, chitetezo, kulumikizana kwamakasitomala/maseva, database, UI, ndi magwiridwe antchito ena ofunikira.
2. Kuyesa kwa mafoni: Kuonetsetsa kuti mapulogalamu akugwira ntchito mosasunthika pazida zosiyanasiyana ndi makina ogwiritsira ntchito.
3. Zindikirani ndi kuthetsa mipata ya magwiridwe antchito: Imawonetsanso zomwe ogwiritsa ntchito amakhala nazo kuti akwaniritse zomwe akufuna.
4. Kuchepetsa chiwopsezo: Kupititsa patsogolo mtundu wazinthu, kumachotsa zopinga, komanso kumalimbitsa chitetezo.

Pezani chithunzi chovuta cha chitetezo cha ntchito
Kuyesa kwa mapulogalamu kumathandiza kuvumbulutsa ndi kuthetsa ziwopsezo zachitetezo m'malo osiyanasiyana munthawi yonse ya chitukuko cha mapulogalamu. Kuphatikiza kusanthula kosasunthika ndi zida zowunikira zosinthika kumapereka mawonekedwe owoneka bwino, kukulitsa mgwirizano ndi kukonzanso ndikuchepetsa ziwopsezo pamapulogalamu operekera mapulogalamu.

Kuyesa kogwira ntchito:

Mipata yodziwika ndi zovuta
Kuyesa kogwira ntchito kumatha kubwereza komanso kuwononga nthawi.

Kuyambitsa makina opangira nthawi komanso kupulumutsa mtengo, kukonza zoyeserera, kuwoneka, ndi ROI pothana ndi zovuta zisanu ndi chimodzi zodziwika bwino:

Kuwononga nthawi     
Makina ochepa ndi/kapena zida, zopangira zinthu zolakwika, ndi zochita zomwe sizikugwirizana ndi zofunikira zamabizinesi.

Staffing shortages
Kuvuta kwa zinthu kumapangitsa kuti zikhale zovuta kulinganiza ndikuyika patsogolo maudindo pakati pa opanga ndi oyesa.

Kuyeserera kowononga nthawi
Kukonzekera kosadalirika, injini zambiri zoyeserera, komanso kuyesa kuyesa molumikizana.

Mipata ya luso
Zochita zamakono zimafuna luso laukadaulo kuti mugwiritse ntchito makinawo, kuchepetsa kukhudzidwa kwa ogwiritsa ntchito ndi kuyikapo.

Kukonza mayeso otopetsa
Kupanga mayeso obwereza, kuyesa kutha kusintha pafupipafupi, ndi makina osweka.

Infrastructure pamwamba
Malo oyesera angapo (osatsegula, zida zam'manja, ndi zina zambiri) ndi chithandizo cha Hardware pamayankho oyesera (zosefera, zopatsa chilolezo, zigamba, zokweza).

OpenText: Wothandizana nawo poyesa makina opangidwa ndi AI

Monga odzichitira okha komanso mpainiya wa AI, timamvetsetsa kufunikira kothandiza mabungwe kukumbatira njira zatsopano zogwirira ntchito, kupatsa mphamvu magulu kuti aganizirenso za chitukuko cha mapulogalamu.

Limbikitsani njira zoyesera mapulogalamu ndi mnzanu wodalirika yemwe amasiyana chifukwa cha ma advan asanutages:

1. Zochitika zakuya ndi ukatswiri
   Tengani advantagndi kumvetsetsa kwathu mozama za zovuta zoyesa mapulogalamu ndi zofunikira. OpenText ili ndi mbiri yotsimikizika yopereka zida zoyezetsa zodalirika zodalirika ndi mabizinesi otsogola padziko lonse lapansi.
2. Zatsopano zosayima
   Pezani mayankho oyesa apamwamba omwe amaphatikiza AI yotsogola, kuphunzira pamakina, ndi kuthekera kwamtambo.
3. Comprehensive kuyesa zida
   Yang'anirani ndikuyendetsa bwino pamayeso athunthu ndiukadaulo wa OpenText. Zida zathu zimathandizira kuyesa magwiridwe antchito ndi magwiridwe antchito, kuyesa kwa mafoni, ndikuwongolera mayeso.
4. Thandizo lotsimikiziridwa, lodalirika
   Landirani chithandizo chosayerekezeka ndikukhala m'gulu lathu la ogwiritsa ntchito. Inu ndi gulu lanu mutha kuthana ndi zovuta mwachangu ndikugawana machitidwe abwino kwambiri, kukulitsa luso lanu lonse komanso zokolola.
5. Broad integration ecosystem
   Gwiritsani ntchito zida zomwe mumazidziwa kale. OpenText imathandizira zophatikizira pamasamba otseguka, zida za chipani chachitatu, ndi mayankho ena a OpenText. Mukhozanso kuthandizira njira zingapo zoyesera pa moyo wanu wonse wa chitukuko cha mapulogalamu.

Pezani zomwe mukufunikira kuti mugwire ntchito

Wonjezerani njira zoyesera zoyeserera ndi OpenText ndikukhala ndi kuyezetsa komaliza, komaliza ndi kuwunikira: uinjiniya wa magwiridwe antchito. Kugwiritsa ntchito makina odzichitira okha ndi AI, timathandizira zovuta, zochulukira mabizinesi, kupsinjika ndi zochitika, kutsanzira zenizeni zenizeni zapadziko lonse lapansi ndi katundu ndikuthandizira kuyesa pamtundu uliwonse wa pulogalamu ndi protocol - m'malo aliwonse opanga mapulogalamu. Timapangitsa njira zoyesera kukhala zanthawi zonse, zimathandizira kuwongolera mosalekeza pogwiritsa ntchito njira zobwereza pafupipafupi, komanso timathandizira mabungwe kuti azitsatira zomwe akufuna poyesa kuphatikiza ma CI/CD, zida zotsegula, ndi zida zoyesera za gulu lachitatu.

Kwezani gulu lanu ndi nsanja yoyeserera yogawana yomwe imalimbana ndi zovuta zanu zonse zoyeserera kachitidwe:

Zosavuta: Zosavuta kugwiritsa ntchito, zoyeserera ndi zolemba zomwe zidakwezedwa pamphindi.

OpenText performance engineering solutions

• OpenText™ Enterprise Performance Engineering (LoadRunner™ Enterprise): Njira yoyesera yogwirira ntchito yomwe imachepetsa zovuta, kuyika zinthu pakati, ndikuwonjezera katundu ndi malaisensi.
• OpenText™ Professional Performance Engineering (LoadRunner™ Professional): Yankho lachidziwitso, losunthika lomwe limapulumutsa nthawi yamabungwe, limathandizira kufalitsa ma code, ndikupereka zotsatira zolondola.
• OpenText™ Core Performance Engineering (LoadRunner™ Cloud): Chitani zoyeserera zambiri za magwiridwe antchito popanda zida zodula.
• Smart: Ma analytics olosera, ma analytics odziwa malo, ndi kusanthula kwa zochitika zimapereka chidziwitso chanthawi yeniyeni, kuloza chomwe chayambitsa zovuta komanso kupereka malingaliro okhathamiritsa.
• Scalable: Onjezani ogwiritsa ntchito pafupifupi mamiliyoni asanu kuti apeze mayeso omaliza ndikugwiritsa ntchito SaaS yochokera pamtambo kuti muwonjezeke mwachangu komanso pofunidwa.

Pezani zomwe mukufunikira kuti muyese ntchito
Dulani malire a zida zoyesera zogwirira ntchito ndi njira ya OpenText yopangidwa kuti ikwaniritse zofunikira zamapulogalamu amakono. Maluso athu ophatikizidwa a AI amafulumizitsa kapangidwe kake koyeserera ndi kachitidwe, kulola magulu kuti ayese mwachangu komanso mwachangu. web, mafoni, API, ndi ntchito zamabizinesi.

Chifukwa chake, mabungwe amatha:

• Sungani nthawi, onjezerani kulondola: Kuthekera koyendetsedwa ndi AI kumachepetsa nthawi yopanga zolemba ndikupangitsa kuti mayeso awonjezeke pamapangidwe omwe amagawidwa.
• Konzani kufalitsa: Thandizani njira iliyonse yachitukuko, kuphatikiza Agile ndi DevOps, kuti muyesere moyenera komanso mowongolera.
• Chepetsani mipata ya luso: Phatikizaninso ogwiritsa ntchito mabizinesi (ma SME) munjira zoyeserera zokha, kugwiritsa ntchito njira zoyesera zopangira ma model.
• Dziwani zambiri: Gwiritsani ntchito malipoti athunthu ndi kusanthula kuti muzindikire mwachangu ndikuwongolera zovuta ndikudziwitsa kupanga zisankho.
• Kumayambiriro kwa maadiresi: Chepetsani kuponda kwanu pamtambo ndikuyesa kuyesa kuchokera kulikonse ndi SaaS-based, yokhayo yophatikizidwa yankho.

OpenText ntchito kuyesa mayankho

• OpenText™ Functional Testing: AI-powered test automation.
• OpenText™ Functional Testing Lab for Mobile and Web: Njira yothetsera kuyezetsa kwa mafoni ndi zida
• Mayeso a OpenText™ Functional Testing for Developers: Yankho losinthira kumanzere kwa kuyesa magwiridwe antchito.

Masitepe otsatirawa: Khalani opambana muukadaulo wa mapulogalamu ndi luso
Dziwani momwe mungalimbikitsire kuyezetsa kwa mapulogalamu kuti mukhale ndi mapulogalamu abwino kwambiri komanso zinthu zapamwamba.

• Dziwani zambiri za engineering performance
• Pezani zina zowonjezera pakuyesa kwa magwiridwe antchito

Zokhudza OpenText
OpenText, The Information Company, imathandizira mabungwe kuti azitha kuzindikira kudzera munjira zotsogola pamsika, m'malo kapena mumtambo. Kuti mumve zambiri za OpenText (NASDAQ: OTEX, TSX: OTEX) pitani opentext.com.
opentext.com | | X (yomwe kale inali Twitter) | LinkedIn | CEO Blog
Copyright © 2024 Open Text • 10.24 | 243-000058-001

FAQ

• Q: Chifukwa chiyani kuyesa mapulogalamu ndikofunikira?
  Yankho: Kuyesa kwa mapulogalamu kumawonetsetsa kuti mapulogalamu akwaniritsa miyezo yabwino, kuzindikira zovuta msanga, kuchepetsa zoopsa, ndikuwongolera kuwongolera kosalekeza.
• Q: Kodi ubwino woyesa ntchito ndi chiyani?
  A: Kuyesa kagwiridwe ka ntchito kumathandizira kuwunika kuthamanga kwa ntchito, kudalirika, ndi scalability pansi pamikhalidwe yosiyanasiyana kuti muwongolere magwiridwe antchito.
• Q: Kodi kuyesa kogwira ntchito kumathandizira bwanji pa mapulogalamu khalidwe?
  Yankho: Kuyesa kogwira ntchito kumatsimikizira kuti ntchito iliyonse ya pulogalamuyo imagwira ntchito moyenera, kuwonetsetsa kuti mapulogalamu onse ndi odalirika komanso odalirika.

Zolemba / Zothandizira

Kuyesa kwa OpenText Evolve Software Kwa Stellar Application [pdf] Buku Logwiritsa Ntchito Kusintha Mayeso a Mapulogalamu a Stellar Application, Kuyesa kwa Mapulogalamu a Kusintha Kwa Stellar Application, Kuyesa kwa Stellar Application, Stellar Application, Application

Maumboni

• Buku Logwiritsa Ntchito