AWS QnABot is a multi-channel, multi-language conversational interface (chatbot) that responds to your customer's questions, answers, and feedback. The solution allows you to deploy a fully functional chatbot across multiple channels including chat, voice, SMS and Amazon Alexa.
Main Code: 24,569 LOC (272 files) = JS (75%) + VUE (16%) + PY (4%) + YAML (1%) + CSS (1%) + SCSS (<1%) + HTML (<1%) + PUG (<1%) + EJS (<1%) + STYL (<1%) Secondary code: Test: 3,145 LOC (37); Generated: 66,249 LOC (19); Build & Deploy: 78 LOC (2); Other: 80,621 LOC (145); |
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Duplication: 25% | |||
File Size: 4% long (>1000 LOC), 61% short (<= 200 LOC) | |||
Unit Size: 12% long (>100 LOC), 35% short (<= 10 LOC) | |||
Conditional Complexity: 3% complex (McCabe index > 50), 67% simple (McCabe index <= 5) | |||
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Logical Component Decomposition: primary (35 components) | ||
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4 years, 5 months old
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16% of code updated more than 50 times Also see temporal dependencies for files frequently changed in same commits. |
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Goals: Keep the system simple and easy to change (4) |
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Features of interest:
TODOs
10 files |
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Latest commit date: 2021-12-20
0
commits
(30 days)
0
contributors
(30 days) |
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generated by sokrates.dev (configuration) on 2022-02-01