{"action":"reopened","issue":{"url":"https://api.github.com/repos/ahiralesc/cutu/issues/1","repository_url":"https://api.github.com/repos/ahiralesc/cutu","labels_url":"https://api.github.com/repos/ahiralesc/cutu/issues/1/labels{/name}","comments_url":"https://api.github.com/repos/ahiralesc/cutu/issues/1/comments","events_url":"https://api.github.com/repos/ahiralesc/cutu/issues/1/events","html_url":"https://github.com/ahiralesc/cutu/issues/1","id":363613935,"node_id":"MDU6SXNzdWUzNjM2MTM5MzU=","number":1,"title":"User story 1. Log set characteristics.","user":{"login":"ahiralesc","id":10506475,"node_id":"MDQ6VXNlcjEwNTA2NDc1","avatar_url":"https://avatars3.githubusercontent.com/u/10506475?v=4","gravatar_id":"","url":"https://api.github.com/users/ahiralesc","html_url":"https://github.com/ahiralesc","followers_url":"https://api.github.com/users/ahiralesc/followers","following_url":"https://api.github.com/users/ahiralesc/following{/other_user}","gists_url":"https://api.github.com/users/ahiralesc/gists{/gist_id}","starred_url":"https://api.github.com/users/ahiralesc/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/ahiralesc/subscriptions","organizations_url":"https://api.github.com/users/ahiralesc/orgs","repos_url":"https://api.github.com/users/ahiralesc/repos","events_url":"https://api.github.com/users/ahiralesc/events{/privacy}","received_events_url":"https://api.github.com/users/ahiralesc/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":0,"created_at":"2018-09-25T14:41:09Z","updated_at":"2018-09-25T14:49:53Z","closed_at":null,"author_association":"OWNER","body":"Story: As a user I want to characterize the log set characteristics so that I can identify tendencies and irregular behavior.\n\nBDD: Given 500 task logs files, when I run the log analysis script, then it plots the number of events per the entire instrumentation window; it lists logs with unusual high number of events; and provides first order statistics of the number of events and size of logs, and of the instrumentation length in terms of hours, minutes, and seconds. "}}
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