UMartin Schleiss uzame ukuthelekisa iiprojekthi ezahlukeneyo zomthombo ovulekileyo ngokwemigaqo yobunzima bekhowudi kunye nokuqonda ukuba ikhowudi isebenza njani kwaye zeziphi izenzo ezenzayo. Ngokomzekelo, iprojekthi iba nzima ngakumbi ukuyiqonda xa isebenzisa ii-abstractions ezinzima, ezifana nokusasazwa konxibelelwano lwamacandelo phezu kwenethiwekhi, okanye isebenzisa inani elikhulu leemodyuli ezifakwe kwindlwane kunye neeklasi.
I-metric esetyenzisiweyo ukuvavanya ubunzima obunokwenzeka yayibala inani lemisebenzi yokungenisa edibanisa iifayile ezahlukeneyo. Kucingelwa ukuba umntu unokwahlula ngokulula ukudityaniswa kwe-5-6 yeefayile ezahlukeneyo, kwaye njengoko esi sibonakaliso sanda, kuba nzima ukuqonda ingqiqo.
Iziphumo ezifunyenweyo (inqanaba lobunzima lichazwa njengepesenti yeefayile ezinekhonkco kwi-7 okanye ngaphezulu kwezinye iifayile).
- I-Elasticsearch - 77.2%
- IKhowudi ye-Visual Studio - 60.3%.
- Umhlwa - 58.6%
- I-Linux kernel - 48.7%
- I-PostgreSQL - 46.4%
- umongoDB - 44.7%
- I-Node.js - 39.9%
- PHP - 34.4%
- I-CPython - 33.1%
- I-Django - 30.1%
- i-reactJS - 26.7%
- Symfony - 25.5%
- ILaravel - 22.9%
- elandelayoJS - 14.2%
- chakra-ui - 13.5%
umthombo: opennet.ru