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40 lines
1.6 KiB
Markdown
40 lines
1.6 KiB
Markdown
# User stories Batch 1
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## [x] As a user I want to be able to download the dataset for EITHER comment generation OR code refinment
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- When asking for the dataset, there is a parameter to say whether you want to download the context or
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not (the state of the repo before the PR).
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- TODO: actually build the datasets
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## [x] As a user I want to be able to submit my predictions for the given downloaded dataset
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## [ ] As a user I want to be able to see the results of the code refinment, whether the compiled and tested successfully
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## [ ] Add a download button to the page that gives the user a slightly more detailed version of the result, showing the bleu score for each paraphrase and the number of tests passed for code refinement (?)
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## [ ] As a user I want to be able to see the performance of my predictions against the benchmark (comment generation: bleu score, code refinement: # tests passed)
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## [ ] As a user I want to see what the webpage is used for (inspired from https://seart-ghs.si.usi.ch)
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# Work flow
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First I'll do a basic express server to serve the datasets. No login no frontend. I'll implement
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Batch 1 then move on to some other features (frontend, maybe auth).
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# Batch 2
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## [ ] As a dev I want to be able to deploy my webapp into a container
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## [ ] As a user I want to have a webpage to make all the actions mentioned above
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# DATASET
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## [ ] Rebuild the dataset (is doing)
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## [ ] Match all the current entries in dataset.json and put the selection thing inside dataset.dont-care.json
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## [ ] Go through manual selection of dataset.dont-care.json to fill missing repos
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## [ ] The step above will already create all the archives
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