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The Power of AI in Application Performance Testing

Iune 12, 2023 e Hōʻike Hōʻikeʻike

Introduction: In the rapidly evolving landscape of software development, ensuring optimal application performance has become paramount. With the increasing complexity of applications and the need for seamless user experiences, traditional methods of performance testing often fall short. Eia nō naʻe, eia naʻe, the emergence of Artificial Intelligence (AI) has revolutionized the field of performance testing, offering unprecedented opportunities to identify bottlenecks, optimize performance, and enhance user satisfaction. This essay explores the remarkable benefits of leveraging AI in application performance testing using tools like Bard Chat and Chat GPT

  1. Enhanced Test Coverage: AI-based performance testing enables organizations to achieve superior test coverage by simulating real-world scenarios and user behavior. Traditional performance testing methods often struggle to accurately replicate complex usage patterns, leaving critical performance issues undetected until deployment. AI algorithms can analyze vast amounts of data, including user logs, historical performance data, and usage patterns, to create realistic and dynamic performance test scenarios. By mimicking real-world user interactions, AI-powered tests provide more comprehensive coverage, identifying potential bottlenecks and issues that may arise under varying conditions.
  2. Efficient Test Case Generation: AI algorithms can significantly streamline the test case generation process. Instead of manually designing test cases, AI can automatically generate an extensive set of test scenarios by considering various factors such as system complexity, user behavior, and anticipated load. This automation eliminates human bias and reduces the time and effort required to create test cases manually. By leveraging AI, organizations can accelerate their testing cycles, enabling faster time-to-market without compromising on application performance.
  3. Real-time Monitoring and Analysis: AI-driven performance testing facilitates real-time monitoring and analysis of critical performance metrics. With the ability to process vast amounts of data in real-time, AI algorithms can swiftly identify performance anomalies, bottlenecks, and degradation trends. By continuously monitoring performance metrics, AI can detect even subtle changes that may affect user experience. Organizations can proactively address performance issues, leading to improved stability, reduced downtime, and enhanced user satisfaction.
  4. Predictive Analytics: One of the most significant advantages of AI in performance testing is its ability to predict application performance under different load conditions. By analyzing historical performance data, AI algorithms can forecast how the application will perform when subjected to increased user traffic or system stress. This foresight allows organizations to make informed decisions about infrastructure scaling, resource allocation, and performance optimization strategies, mitigating risks before they impact end-users. Predictive analytics empowers businesses to optimize their application’s performance and deliver a seamless user experience, even during peak demand periods.
  5. Root Cause Analysis and Optimization: AI-based performance testing enables detailed root cause analysis by analyzing performance data, logs, and system metrics. When performance issues arise, AI algorithms can quickly identify the underlying causes, such as inefficient code, database queries, or infrastructure limitations. This information helps development teams pinpoint the specific areas that require optimization, allowing for targeted improvements. By continuously iterating and refining the application’s performance based on AI-driven insights, organizations can enhance application responsiveness, scalability, and overall user satisfaction.

Ka hopena: The utilization of AI in application performance testing has revolutionized the way organizations ensure optimal performance and user experience. Through enhanced test coverage, efficient test case generation, real-time monitoring and analysis, predictive analytics, and detailed root cause analysis, AI enables businesses to identify and address performance issues proactively. By leveraging AI-driven insights, organizations can optimize their applications, reduce downtime, enhance scalability, and deliver superior user experiences. As the field of AI continues to advance, the future holds even more promise for leveraging AI in application performance testing, allowing businesses to stay competitive in the ever-evolving digital landscape.

RyanAir EU261 E nānā i kāu IBAN/SWIFT (BIC) ʻAʻole hana ʻia nā kikoʻī uku

Iune 30, 2022 e Hōʻike Hōʻikeʻike

RyanAir EU261 Uku

Ke hana nei i kahi koi uku uku EU261 me RyanAir?

Maikaʻi ua hoʻolālā ʻo RyanAir i ke kaʻina hana paʻakikī a paʻakikī loa no ke koi ʻana no ka hoʻopau ʻana a i ʻole ka lohi ʻana ma lalo o ke kaʻina hana uku EU261..

Hoʻolālā maikaʻi ʻia e hoʻolei i nā pilikia he nui i hiki i ka manaʻolana e haʻalele ka poʻe.

Hōʻike pū ʻia inā he hewa i ka waiho ʻana, hiki ke hoʻopaneʻe 'lōʻihi' i ka hana ʻana i ka hoihoi. ʻO ia mau mea a pau loa i ke kānāwai, akā, ʻano kūpono ʻole.

ʻO ka mea mua, nānā ʻo ia i ka inoa e pili ana i ka palapala kuhikuhi a ʻaʻole ia e ʻae iā ʻoe e hoʻomau inā ʻaʻole ia he kūlike pololei.. He manaʻo akamai kēlā, akā aia kekahi pilikia no ka mea aia kahi kaawale ma waena o nā ʻāpana ʻelua o ka inoa i hāʻawi ʻia ma ka papa holo moku akā ma ke ʻano he pono e holo pū ʻia lākou..

ʻO kekahi pilikia nui ka memo hewa ma lalo nei…

ʻAʻole kūpono nā kikoʻī uku!

E nānā i kāu IBAN/SWIFT (BIC) nā kikoʻī a hoʻāʻo hou

RyanAir EU261 E nānā i kāu IBAN SWIFT BIC kikoʻī

 

 

 

Loaʻa kāu helu IBAN a i ʻole Swift ma kāu ʻōlelo panakō – e ʻike i ka laʻana kiʻi ma lalo nei

Ryan air iban

Eia naʻe, e hoʻomau mau ana ka palapala pūnaewele Ryan Air e hāʻawi i nā hewa.

Ua loaʻa iaʻu ka hopena i kēia e hoʻohana i kahi helu IBAN pūnaewele

https://www.ibancalculator.com/

ʻO ke komo ʻana i kāu helu moʻokāki a me ka helu helu helu ʻokoʻa i hāʻawi ʻia e nā panakō i kekahi manawa. no ka First Direct ua pani ia i ka HBUKGB41FDD me HBUKGB41XXX

ʻIke maopopo i ka hoʻāʻo ʻana i nā polokalamu a i ʻole ka noʻonoʻo ʻana “nā hemahema” ma ka palapala pūnaewele RyanAir!

Ka Nane o Sh**head the Recruiter

Nowemapa 29, 2021 e Hōʻike Hōʻikeʻike

E hōʻike wau i ke kaʻina ola o ka ʻoihana hoʻolimalima me kahi moʻolelo: Ka Nane o Shithead.

E noʻonoʻo i kahi keikikāne mai kahi ʻāina ʻo Essex sink - ʻo nā swagger a me ka lauoho lauoho. Reptilian, nele o na talena a pau, he sociopathic hoʻowahāwahā i nā mea ʻē aʻe. Pololi no ka holomua, no nā kaʻa wikiwiki a kūpono i nā manu a me ka lager gassy a me nā hale pō weliweli. Ua nānā ʻo ia i ka Apprentice a ʻike ʻo ia ua pau ka ʻoihana. Loaʻa iā ia kahi lole ʻālohilohi a hoʻomaʻamaʻa ʻo ia i kona maka i ke aniani i kēlā me kēia lā. ʻO Spencer a ʻo Kai paha kona inoa, ʻO Nathan a i ʻole Chardonnay, akā e kapa wau iā ia ʻo Shithead.

Ua haʻi ka hoaaloha o Shithead iā ia e pili ana i kahi hana ma kāna keʻena. “Ua like ia me nā telesales āu e hana nei mai ke kula. Hana wale ʻoe i kēia mau mea hoʻolele kamepiula e lawe i nā hana a lākou e makemake ʻole ai. He ʻuʻuku ka uku a he ʻuʻuku ka luna a hoʻokuʻu ʻia ʻoe inā ʻaʻole ʻoe i nā pahuhopu, akā hana ʻoe i kahi ʻeke ma ke komisina". Luuluu ʻo Shithead i ka poʻe kāhea anuanu e pili ana i ka comp-en-sation a ʻo ia ka lark recruiting e hiki iā ia ke ala ma hope., no laila lawe ʻo ia i ka hana.

Piʻi kā mākou protagonist no kāna lā mua ma 24-7-Synergistic-Cyber-Resourcing-International Ltd. He keʻena lawelawe ma Readingstoke, pau loa i ka plasticky a me ka naff, piha i na berks e like me ia i ike ole i ka IT. ʻO ke alakaʻi ʻana i kēia hive o villany ka mea nona ka ʻoihana, Mr Bastard. "Ua ʻike ʻo Old Bastard i nā hana hoʻopunipuni a pau" hāwanawana ke kanaka ma ke pākaukau e hiki mai ana, "E aʻo mai iā ia a e hana ʻoe i ʻeke". Hāʻawi lākou iā Shithead i kahi PC crap, he kelepona, he mooolelo ma LinkedIn a me ka waihona o ka poe akamai IT i kaili ia lakou mai kahi kahua hana i ka pule i hala. Ma hope o kekahi mau hola hoʻomaʻamaʻa, hāʻawi ʻo ia i ka spec no kahi hana weliweli a lākou e hoʻāʻo nei e hoʻopiha no nā pule he nui a kauoha ʻia e kiʻi i kāna puʻuwai liʻiliʻi.. "ʻAʻohe kaomi" haʻi lākou iā ia, "Akā ua hoʻopau ʻia ʻoe inā ʻaʻole hiki iā ʻoe ke loaʻa kekahi".

ʻAʻohe manaʻo o kēlā mau huaʻōlelo IT ʻakaʻaka iā Shithead akā kākau ʻo ia i kekahi mau huaʻōlelo i loko o kāna waihona. ʻIke ʻo ia he nui nā pāʻani hou aʻe inā haʻalele ʻo ia i ka pahu "wahi" blank. Hoʻopuka ia i kahi papa inoa o nā poʻe loea āpau i nā ʻenehana e like me "L-U-N-I-X", "Dogger" a me "Curriculum Vitae". Ma ka hoʻohana ʻana i kekahi mau ʻōlelo recruiter maikaʻi i aʻo ʻia e nā poʻe ʻē aʻe iā ia, kākau ʻo ia i leka uila. “L@@K! Ua koi ʻia ʻo L.U.N.I.X ninja Dogger rockstar no ka papahana neʻe ʻana i ka māla ʻōmaʻomaʻo ma Lākana. Kāhea i nā kikoʻī!!!”.

Ua haʻalele ʻo ia i ka haʻi ʻana he haneli mau mile ma waho o Ladana. Ma ke kai. I loko o kahi submarine wela piha i ka ma'i ebola a me nā tigers hae. "ʻAʻole makemake e hoʻonāwaliwali i kekahi" manaʻo ʻo Shithead.

Ma ke kaomi ʻana i kahi pihi hoʻouna ʻo ia i hoʻokahi kaukani pāʻani.

Ma hope o ka hapalua hola ʻaʻohe mea i pane mai. ʻOi aku ka ʻino, aia kahi leka uila mai kekahi arsehole paʻa e ʻōlelo ana ua pāpā ʻia ʻo ia. Hoʻāʻo ʻo ia e hoʻopaʻapaʻa me ka leka bounce, hooweliweli e hoike aku i ka Makai Internet no ka hoemi ana i kona Kuokoa o ka olelo. "Makemake mākou e hana hewa" ʻōlelo ʻo Shithead.

ʻAʻohe mea i mahalo i kāna leka uila maikaʻi, holoi ʻo ia i kēlā me kēia kahua huli, koho i nā mea a pau 50,000 o ka IT 'oihana i loko o ka waihona a kaomi hou "hoʻouna"..

Hoʻomaka nā pane e kahe i loko. "E nalo iā ʻoe berk" i ka ʻoihana IT, "Haʻalele i ka hoʻonele ʻana i koʻu manawa". Akā ua aʻo ʻia ʻo Shithead no kēia a hoʻopili ʻo ia i kekahi mau pane canned. "ʻAʻole anei ʻoe e hele no kahi manawa kūpono?” ua wili ʻo ia. "ʻAʻole wau e hana pono i kaʻu ʻoihana inā ʻaʻole wau i haʻi iā ʻoe e pili ana i kēia mau manawa nui a pau". "ʻAe, ʻike wau ua ʻōlelo ʻoe ʻaʻole makemake ʻoe akā ʻaʻole makemake ʻoe e ʻike e pili ana i kā mākou uku ʻimi ʻimi £ 50.?”

Hoʻouna kekahi mau poʻe i nā CV akā ʻaʻole i kūlike kā lākou acronyms i ka papa inoa ma ka spec no laila ʻoki ʻo ia iā lākou.. "Fucking timewasters" ʻōlelo ʻo ia, "Ke ʻimi nei mākou i kahi loea ninja rockstar domain ma L.U.N.I.X, ʻaʻole kēia ʻo Ubuntu crap". Ke maloʻo nā noi hoʻomaka ʻo ia e kāhea i nā poʻe mai ka waihona. "ʻAʻohe mea e pili ana i kaʻu mau akamai" e ʻōlelo mau ai ka poʻe. "Ua haʻi aku au iā ʻoe ʻelima mau manawa ʻaʻole wau e ʻimi nei i kahi ʻaelike". Hoʻopaʻa ʻo ia iā lākou a hiki i ka wā e waiho ai i ke kelepona i lalo a i ʻole ke ana i loko a leka uila iā ia i kahi CV.

Ma hope ua lanakila kekahi ʻuhane ʻilihune i ka pāʻani o ka acronym bingo. Hoʻopili ʻo ia i kā lākou CV i ka laʻana o ka hui, e hōʻino ana i ka hoʻopili ʻana a me ka uhi ʻana i ko lākou ʻike e like me kā Mr Bastard i aʻo ai iā ia. "ʻAʻole makemake lākou e hele i hope o kā mākou kua" hoʻomanaʻo ʻo Bastard iā ia.

Ma hope o ka hoʻopaʻapaʻa ʻana no nā lā he ʻumi, noi ka mea kūʻai i kahi nīnauele. ʻO ka mea pōʻino, ua loaʻa i ka mea noi kahi hana ma kahi ʻē. "Mai hopohopo" wahi a Mr Bastard iā ia, "E koho wale i kekahi a hoʻouna iā lākou". Hoʻolimalima ʻia ke kanaka a loaʻa iā Shithead kahi komisina liʻiliʻi. Ua paʻi ʻo ia i kāna pahuhopu a ʻaʻole e hoʻokuʻu ʻia i kēia mahina. "Ua maopopo iaʻu e aloha ʻoe ma laila" ʻakaʻaka ʻo ia i ke kelepona, haʻaheo i kona akamai.

Kāhea ʻo Mr Bastard iā Shithead i kāna keʻena. “Maikaʻi ka ʻōpio Shithead, ua hoʻāʻo mākou e hoʻopiha i kēlā hana no nā pule. Pehea ʻoe i hana ai?”. Manaʻo ʻo Shithead i nā tausani o ka poʻe āna i spammed. “ʻAe, pono, Maikaʻi maoli wau i ka hoʻohiwahiwa ʻana i ke kālena". Hoʻolaha ʻo Mr Bastard iā ia i ka hui ʻaelike. "ʻO ia kahi o ke kālā maoli" wehewehe ʻo Old Bastard, "Hana lākou nā mea ʻaelike i kahi ʻeke. ʻO ka mea maikaʻi loa ʻaʻole mākou e hana hou ma hope o ka loaʻa ʻana iā lākou akā pono e uku mai kēlā poʻe kūʻai dumbfuck iā mākou. 15% o ka uku o na la a mau loa aku!”

ʻEono mahina ma hope mai ua aʻo ʻo Shithead i nā mea āpau e pili ana i ka hoʻopaʻa ʻana IT. Ua "hoʻonoho" ʻo ia i ka nui o nā mea hana a me 247SCRI Ltd (Ua kapa hou lākou ma hope o kēlā ʻoihana me ke kanaka make a me nā tigers) ke ʻohi nei ʻo ia i ʻelua mea nui i ka lā mai nā hua o kāna hana. Ua hoʻolimalima ʻo ia i kahi BMW a hoʻolei i kāna kālā i loko o nā pahu shit. Ua aʻo ʻo ia i ka hoʻopunipuni i nā mea kūʻai aku, e ʻohi i nā CV ma ka hoʻolaha ʻana i nā hana hoʻopunipuni, e hooponopono i ka poe noi, e hoʻohālikelike ʻo ia e "hōʻike" i kahi mea i lohe ʻole ʻia e pili ana iā ia a pehea e hoʻopau ai i ka hoʻohewa ʻana i kāna mau hana kānalua ma ka ʻōlelo ʻana., hiki ole, "ʻaʻohe pilikia o kekahi iā ia".

Ua aʻo pū ʻo ia i ka ʻōwili ʻana i kekahi o kāna kōmike i loko o kahi paipu a me ia, e kau i ke koena i kona ihu. No laila, ola ʻo Shithead paʻa i ka ʻoiaʻiʻo ʻo ia ka makana a ke Akua i ka ʻoihana IT. "Ua makemake wau iā ʻoe" haʻi ʻo ia i ka poʻe i hopu iā ia me ka hoʻohana ʻana i kā lākou CV., "a honi i kaʻu hoki no ka mea ʻaʻole loa ʻoe e loaʻa kahi hana ma kēia kūlanakauhale me kaʻu 'help".

Akā ʻaʻole ʻo Shithead he moron piha. Ua loaʻa iā ia kahi waiwai no 247SCRI a mālama ʻo Old Bastard i ka hapa nui nona iho.. Heluhelu ʻo ia i ka mea a ke kanaka e hana ai. “Kol!” Noʻonoʻo ʻo Shithead, “Hiki iaʻu ke hana i kēlā. E hoʻomaka ana ke kumukūʻai a inā e hoʻopau wau, ʻo lākou ka poʻe IT arseholes e nalowale. "

Ma hope o kekahi mau hola, ua kāʻili ʻo Shithead i ka waihona, hoʻopaʻa inoa i kāna hui hou (“Shithead-E-Web-Interglobal-Talent-Solutions”) a loaʻa iā ia kekahi mau mea hoʻolālā pūnaewele waho e kūkulu i kahi pūnaewele nona. "E hoʻohālikelike maoli ʻia" ʻōlelo ʻo ia iā lākou, no laila lākou e hoʻopiha ai me nā kiʻi kiʻi kiʻi o ka lani o ke kūlanakauhale a me ka poʻe-nana-koʻikoʻi-i-ka-hana.

Ma ke kakahiaka Poakahi e hana ana ʻo Shithead i ka papa inoa o nā mea kūʻai aku i ʻaihue. Ua ʻike ʻo ia i ka mea a kāna ʻoihana kahiko i koi ai no laila ua maʻalahi ka hoʻohaʻahaʻa ʻana iā lākou. Kāhea ʻo ia i nā mea hana o nā mea noi mua e ʻimi no nā hana hiki iā ia ke hoʻolaha, e hoopau ana i kekahi mau oihana ma ka hana. "Ha" manaʻo ʻo ia, "ʻoi aku nā hana naʻu e hoʻopiha".

ʻEono mahina ma hope mai e ulu ana ka ʻoihana a haʻaheo loa ʻo Shithead iā ia iho. Hoʻololi ʻo ia i ka BMW no kahi Aston Martin, uku i ka mea kākau moʻolelo maʻalahi e kuke i nā puke a hoʻopiha i kahi keʻena lawelawe me kāna mau ʻōlelo ʻino.. Aʻo mai lākou mai kahi pro a lele wikiwiki ka poʻe avaricious i ka pūnana i nā ʻoihana hoʻomaka. Hoʻokahi miliona mau hui hou e pua.

 

No ke aloha o ke Akua e hoopau i keia hoino

Ke kolo nei ka ʻoihana ʻenehana UK me nā parasites e like me Shithead. Ke kala aku nei mākou i kā lākou ʻano weliweli ma ka manaʻo he poʻe kolohe kaʻawale; ʻo nā mea a mākou i hopu ʻole ʻia e ʻulaʻula, pono e hoʻomaʻemaʻe. I ka wā i ʻoi aku ai kaʻu papa inoa shitlist i hoʻokahi haneli mau kāʻei kua hoʻomaopopo wau ʻO ka hana ʻenehana he ʻoihana popopo loa. He ʻino maikaʻi loa ia o nā mea hoʻoikaika hewa, nā pale haʻahaʻa i ke komo ʻana a me nā hoʻoponopono liʻiliʻi me ka lawa ʻana o ke kālā e huki i kahi maʻi o nā kāne waena kolohe..

Ua pau wau me nā keʻena hoʻolimalima. 90% o ka'u hana (a 100% o ka hana a'u i makemake ai) hele mai ma ka ʻōlelo o ka waha akā ʻaneʻane pau koʻu ikaika ʻimi hana i pau i kēia mau berks. Inā ʻaʻole ʻoe e pōloli (a leʻaleʻa paha i ka hoʻopunipuni ʻia a hoʻopunipuni ʻia) ʻAʻole kūpono lākou i ka hoʻonui ʻana i nā mea kaua.

Hele pololei kā lākou mau leka uila piha i ka ʻōpala. ʻO nā mea i koe pro-mānoanoa, no laila ʻaʻole pili nā ʻōlelo aʻo.

I nā mea hana - e noi i kāu limahana e kōkua i ka loaʻa ʻana o nā mea hoʻolimalima hou. Hāʻawi i kahi makana - lawa e loaʻa ai ko lākou manaʻo, e ʻōlelo i ka uku ʻelua pule. He emi loa ia ma mua o ke kumu kūʻai o Shithead. A maikaʻi nā mea hoʻoikaika a pau: ʻAʻohe mea e hoʻolimalima i ka naʻaupō inā pono lākou e hana pū me lākou a ʻo nā limahana hou me nā pilina pili i kāu hui e ʻoi aku ka nui o ka noho ʻana.. E kahaha ʻoe i ka maikaʻi o kēia.

I koʻu mau hoa hana IT - mai hāʻule i ka manaʻo he mea pono nā mea hoʻolimalima. Kāohi i kā lākou leka uila. Palaka ko lakou kelepona. E launa pū me nā hoa hana kahiko. E aʻo i ka pūnaewele. E hui pū i nā hui, papa a me nā papa leka uila no kāu kahua a e hoʻomanaʻo e kau ma luna o lākou ke hoʻāʻo nei e hoʻolimalima. I kēlā me kēia manawa e hoʻopiha ai ʻoe i kahi hana ma kāu ʻoihana pūnaewele e pōloli ana ka mea hoʻolimalima. E hoomanao, ʻo ka nui o ke kālā āu e omo ai mai loko mai o ke kaiaola recruitment, ʻoi aku ka liʻiliʻi o Shitheads hiki iā ia ke kākoʻo.

Inā pono ʻoe e hana me nā ʻelele, nīnau i nā mea a pau a lākou e ʻōlelo ai. ʻOiai maikaʻi paha lākou e hoʻomanaʻo ʻaʻole lākou i hoʻoikaika ʻia e hana ʻoiaʻiʻo. ʻAʻole lākou he hoaaloha. Loaʻa nā ʻōlelo hoʻohiki (a me ka wehewehe hana) ma ka palapala. E hōʻoia pololei me nā mea kūʻai aku inā ʻo lākou ka luna. Ma mua o kou kau inoa ʻana i kekahi mea e hoʻohālikelike i nā memo me ka mea kūʻai aku e ʻike i ke ʻano o ka uku o ka ʻelele; E hoʻopunipuni pinepine lākou iā ʻolua e ʻoki i kahi ʻoki nui. Ke hopu ʻoe i kekahi e hana hoʻopunipuni e hoʻolaha aku i mea e makaʻala ai kekahi. E kiʻi aku i ka mea kūʻai aku (kōkua kōkua: hele pololei i HR) e haʻi iā lākou i nā mea e hana nei. ʻO nā mea ʻē aʻe e pīhoihoi lākou i ke ʻano o ko lākou hōʻike ʻana. E noi i kekahi loea e heluhelu i kāu ʻaelike (ʻAʻole maopopo ka hapa nui o nā mea hoʻolimalima e pili ana i ke kānāwai aelike) a nīnau i kēlā me kēia ʻōlelo paʻakikī. E hele i waho inā hana lākou i nā kumu no ke kūkākūkā ʻole. Inā he ʻaelike ʻoe a i ka manawa hope loa lākou koi e ʻike i kāu ID (passport, laikini kalaiwa) hoole; ʻAʻohe o lākou kuleana.

ʻO ka mea nui - he iwi kuamoʻo. Ke hoʻāʻo kekahi ʻeke ʻeke e hoʻopau i kekahi, ʻaʻole ʻoe e ʻae iā ia e paheʻe. Mai ʻae i ka lehulehu o nā kānaka waena e ulu waiwai ma ka hoʻopau ʻana i kā mākou ʻoihana.

Mai hānai i ka holoholona.

<aie i ka mea kumu (nalowale) mea kakau o keia>

Hoʻokomo ʻo TOSCA

Nowemapa 14, 2021 e Hōʻike Hōʻikeʻike

ʻO TOSCA Testsuite kahi polokalamu lako kālā no ka hoʻokau hoʻomohala ʻana i ka hana pono a me ka hoʻokau hou ʻana i ka ʻike loea. I ka hoʻāʻo ʻana i ka hana hana automation, Hoʻokomo ʻia ka TOSCA i ka hoʻokele hoʻonohonoho hoʻāʻo, kahi kuhi palapala hoʻohana (GUI), kahi ʻōhua kauoha kauoha (CLI) a kahi loulou i hoʻohana ʻia (API). Kūkulu ʻia ʻo TOSCA Testsuite e ka polokalamu kamepiula ʻoihana TRICENTIS Technology & Kūkākūkā me GmbH i hoʻokumu ʻia ma Wina.

ʻO nā pahuhopu a me nā pono o ka hoʻokō ʻana i kahi huahana e like me TOSCA Testsuite e hoʻomaikaʻi i ka pono ma ke kākoʻo ʻana.:

 

  • Hōʻoiaʻiʻo loiloi hōʻoia i ka pono o ka ʻoihana
  • ʻO kahi waihona kikowaena no nā hihia hoʻokolokolo a me nā palapala hōʻoia
  • Pili a me ka hoʻāʻo hoʻonohonoho hoʻāʻo
  • Kūleʻa ka hoʻāʻo me ka wikiwiki kūpono / mālama ʻokiʻoki
  • Hoʻokele maikaʻi ʻole ma o ka hoʻohui pū ʻana me kahi huahana hoʻokele hemaʻa (e.g. JIRA), hiki ai i nā hemahema ke kau ʻia i nā lālā o ka hui
  • ʻO ka hoʻomakaʻana o nā kaʻina hana hoʻokolohua maʻamau
  • ʻO ka hoʻokele workflow ma o ka hoʻohui me TFS
  • Hōʻike hōʻike i ka hōʻike ʻana me nā hōʻike hōʻaiʻē palapala

 

tosca testsuite
tosca testsuite

Ma ka hoʻokau ʻana a hoʻokō ʻana i ka TOSCA i kahi hui e neʻe aʻe i luna ma o nā pae kiʻekiʻe ʻo ka Test Maturity Level.

ʻOiai he mea nui ka hoʻomaopopo ʻana i nā pōmaikaʻi koʻikoʻi a hiki i ka Test Automation ke lawe mai i kahi hui, ʻAʻole pono e manaʻo ʻia he panacea e hoʻoponopono i nā pilikia hoʻāʻo āpau. Eia nō naʻe kekahi mau mea hana softtware ʻoihana e like me Mana BI ʻaʻole i kūpono ʻole i nā mea hōʻike loiloi ukali.

No ka hoʻokomo i ka automation hōʻike ma ke ʻano o ka hoʻāʻo ʻana (i ka ʻokoʻa hana koi pono) pono kahi hui e ʻike i nā kumuhana aʻe:

  • Pono e loaʻa i ka hui kahi kaʻina hoʻāʻo makua a me ka hiki ke hoʻāʻo. Hiki ke hoʻololi wale i ka hana lima o kēia manawa.
  • Pono ka automation i ka hoʻokō nui ʻana i nā pono kūpono a me ka hoʻomohala a me ka hoʻomau ʻana o ka mālama ʻana i nā pā hoʻokama automated.
  • ʻAʻole kūpono ka automation i nā wahi i hoʻololi ʻia ʻole.

Tricentis Tosca hoʻopaneʻe a hoʻopale i ka hopena i ka hopena hoao ana o kāu ʻāina kikohoʻe holoʻokoʻa. Kona codeless, ʻO ke ala i hoʻohana ʻia AI e hoʻolalelale i ka hoʻāʻo ʻana i nā noi noiʻi.

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hoʻāʻo noi noi

Hoʻolā hoʻokolohua hoʻokō ʻia

ʻO ka hoʻāʻo ʻana i ka hana noi ke ʻano o ka hoʻāʻo ʻana i hana ʻia e hoʻoholo ai pehea e hana ai kahi polokalamu polokalamu e pili ana i ka pane a me ke kūpaʻa ma lalo o kahi hana.. Hiki iā ia ke lawelawe e hoʻokolokolo, ana, hōʻoia a hōʻoia i nā ʻano maikaʻi ʻē aʻe o ka ʻōnaehana, e like me ka scalability, pono a me ka hoʻohana kumu. ʻO ka hoʻohana ʻana i ka hana hoʻokō ʻehā he ʻāpana o ia […]

hoʻoili ʻia ka ʻike software

Nā lawelawe hōʻike hoʻāʻo

Nupepa, nā ʻike a me ka ʻikepili ma Hoʻolā hoʻokolohua hoʻokō ʻia, Hoʻolā hoʻokō hoʻokō hoʻokō, ʻO nā pono hana e hōʻike ai, Nā meahana hana paʻa paʻa a me nā pono hana pūnaewele. Eʻoluʻolu e waiho iā mākou i kahi leka inā makemake ʻoe e hāʻawi i ka pūnaewele a i ʻole ka ʻōlelo…

hoʻāʻo noi noi

Hoʻolā hoʻokolohua hoʻokō ʻia

Hōʻike hōʻike hana noi ke kaʻina hana o ka hoʻāʻo ʻana e hoʻoholo ai pehea e hana ai kahi polokalamu polokalamu i ka pane o ka pane a me ke kūpaʻa ma lalo o kahi hana. Hiki iā ia ke lawelawe e hoʻokolokolo, ana, hōʻoia a hōʻoia i nā ʻano maikaʻi ʻē aʻe o ka ʻōnaehana, e like me ka scalability, pono a me ka hoʻohana kumu.

Hoʻoikaika hana polokalamu kahi ʻāpana o ka hana ʻenehana, kahi hana ʻepekema e kū nei e hoʻāʻo e kūkulu i ka hana i ka hoʻolālā a me ka hoʻolālā ʻana o kahi ʻōnaehana.

E hoʻomau i ka heluhelu ʻana

hoʻāʻo hana polokalamu

Hoʻolā hoʻokō hoʻokō hoʻokō

Hōʻike hana polokalamu kōkua i ka pale ʻana i nā pilikia hana ma ke ʻimi ʻana i nā ʻōmole ma mua o ka hoʻoili ʻia ʻana o kahi ʻōnaehana a hoʻonui paha. Polokalamu hoʻāʻo hana kōkua iā ʻoe e hoʻāʻo i kahi ākea o nā noi, me Pūnaewele pū kekahi 2.0, ERP / CRM, a me nā hoʻoilina hoʻoilina e kōkua ai e ʻike a hoʻoliʻiliʻi i nā ʻōmole hana a loaʻa kahi kiʻi kūpono o ka hana ʻōnaehana hopena ma mua o ka hele ʻana, no laila hiki iā ʻoe ke hōʻoia i ka hoʻopili ʻana o nā noi hōʻike palapala hoʻokō noi nā koi a pale i nā pilikia i ka hana ʻana.

E hoʻomau i ka heluhelu ʻana

ʻulaʻula-ʻula

ʻO ka hoʻāʻo ʻana i nā pono hana paʻa

Ke kumu o ʻO ka hoʻāʻo ʻana i nā hana paʻa paʻa e hōʻoia i ka hiki i ke kumuhana paʻa ke kākoʻo i ka ukana a me nā puke a nā papa noi i noi ai.

Me nā hui he nui e ʻae nei i kahi hoʻolālā hoʻolālā nunui, ʻōnaehana ʻōnaehana a me ka Polokalamu ma ke ʻano he lawelawe he mea nui ia e hōʻoia i ka lako pono i hiki ke hāʻawi i ka ʻike pono o ka mea hoʻohana.

ʻO ka hoʻāʻo ʻana i nā hana paʻa paʻa e kōkua iā ʻoe e hoʻomaopopo i nā ʻōkuhi ʻōnaehana kī nui a me nā kaohi.

E hoʻomau i ka heluhelu ʻana

ʻImi Hōʻike Hana Hana

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