Isibaluli Somnikelo

Umbuzo: Ubani ofake isandla kuphrojekthi yomthombo ovulekile futhi yiluphi ulwazi oluphathelene nabantu nezinhlangano olunikezwa iminikelo?

Incazelo

Le methrikhi ihlola ukuthi ubani osebenze kuphrojekthi nemisebenzi ethile yephrojekthi futhi inikezela ngencazelo kubanikeli bephrojekthi nezinhlangano ezixhumene nayo. Inhloso ukuqonda, ngokusebenzisa imininingwane mayelana nokushintshashintsha kweminikelo ekhokhelwayo yomphakathi, “ukuthi umsebenzi wenziwa kanjani.”

Izinhloso

  1. Ubani osebenza kuphrojekthi?
  2. Ingakanani isilinganiso somsebenzi wokuzithandela, umsebenzi oxhasiwe, nomsebenzi ohlanganisiwe?
  3. Mingaki iminikelo exhasiwe?
  4. Ubani oxhasa iminikelo?
  5. Ini izinhlobo zeminikelo baxhasiwe?
  6. Uhluke kangakanani umphakathi wabahlanganyeli abasebenza kuphrojekthi?

Implementation

Iminikelo eminingi ingachasiswa ngokungagunci kusetshenziswa idatha yokulandela umkhondo, futhi lezi zichasiso zibonakala kwamanye amamethrikhi. Kodwa-ke, le metric incike kakhulu kudatha enikezwa abanikeli futhi ihunyushwe ubuholi bephrojekthi. Ukuqaliswa kwale metric kufuna ukuthi umuntu okhona ku-loop anqume ukuthi yiziphi izinhlangano, nokuthi umnikelo ucatshangelwa kubani. Umnikeli ngamunye kufanele anikezwe ithuba lokukhombisa ukuthi iyiphi inkampani, isisekelo, iphrojekthi, kanye/noma iklayenti elikhokhele ushintsho oluthile.

Izihlungi

Okubonwayo

Iminikelo Yevolontiya vs Abaxhasi

Iminikelo Ngobulili

Amathuluzi Ahlinzeka Ngemethrikhi

  1. Umphakathi wakwaDrupal wakha leli thuluzi, waqala ukulisebenzisa 2015, futhi ubelokhu ebika imiphumela yabo njalo ngonyaka
  2. Kukhona vula nge-GitLab ukusebenzisa lolu hlelo lokusebenza

Amasu Okuqoqwa Kwedatha

Umphakathi waseDrupal usebenzise isibonelo sendlela yokuqoqa ulwazi oludingekayo ukuze le methrikhi ibalwe. Ihlobanisa abantu ngabanye, kanye nezinhlangano labo bantu bazikhomba njengezibaluli ezigunyazayo, kumnikelo ngamunye ohlukile.

Ukucatshangelwa Kokuziphatha Kwedatha

Nakuba le metric idinga ukuthwebula ubudlelwano phakathi kwabantu ngabanye neminikelo abayenzayo, inhloso yale metric AKUKHO ukukala abantu ngabanye. Inhloso ukwenza kube nokuqonda kabanzi ukuthi iminikelo kule phrojekthi igqugquzelwa kanjani. Ngokusobala, akuyona inhloso yale metric ukufaka isandla ekwenziweni kwegeyimu komsebenzi womnikeli ngamunye.

Okubhekwayo

Abanikeli

  • Matthew Tift
  • Sean Goggins
  • Elizebeth Barron
  • Vinod Ahuja
  • Armstrong Foundjem
  • Kevin Lumbard

Ukuze uhlele le metric sicela uthumele isicelo sokushintsha lapha: https://github.com/chaoss/wg-evolution/blob/main/focus-areas/community-growth/contribution-attribution.md

Ukuze ubhekise le metric kusofthiwe noma ekushicilelweni sicela usebenzise le URL ezinzile: https://chaoss.community/?p=3616

Ukusetshenziswa nokusatshalaliswa kwamamethrikhi ezempilo kungase kuholele ekwephuleni ubumfihlo. Izinhlangano zingase zichayeke ezingozini. Lezi zingozi zingase zigeleze kusukela ekuthobeleni i-GDPR e-EU, nomthetho wezwe wase-US, noma neminye imithetho. Kungase futhi kube nezingozi zenkontileka ezivela kumigomo yesevisi kubahlinzeki bedatha njenge-GitHub ne-GitLab. Ukusetshenziswa kwamamethrikhi kufanele kuhlolwe ubungozi kanye nezinkinga zedatha yezimiso zedatha ezingaba khona. Ngicela ubone Idokhumenti ye-CHAOSS Data Ethics ukuze uthole isiqondiso esengeziwe.

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