{"id":16653128,"url":"https://github.com/anuraganalog/ml-for-software-project-management","last_synced_at":"2025-09-02T20:38:49.799Z","repository":{"id":112670263,"uuid":"249325479","full_name":"AnuragAnalog/ML-for-software-project-management","owner":"AnuragAnalog","description":"Using Machine Learning for software effort","archived":false,"fork":false,"pushed_at":"2020-05-30T15:52:18.000Z","size":1096,"stargazers_count":11,"open_issues_count":0,"forks_count":3,"subscribers_count":2,"default_branch":"master","last_synced_at":"2025-03-23T20:04:17.970Z","etag":null,"topics":["cocomo","dataset","eda","effort","engineering","estimation","jupyter","learning","machine","networks","neural","notebooks","software"],"latest_commit_sha":null,"homepage":null,"language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"gpl-3.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/AnuragAnalog.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2020-03-23T03:18:35.000Z","updated_at":"2025-03-18T03:06:17.000Z","dependencies_parsed_at":"2023-06-10T18:45:45.222Z","dependency_job_id":null,"html_url":"https://github.com/AnuragAnalog/ML-for-software-project-management","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/AnuragAnalog%2FML-for-software-project-management","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/AnuragAnalog%2FML-for-software-project-management/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/AnuragAnalog%2FML-for-software-project-management/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/AnuragAnalog%2FML-for-software-project-management/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/AnuragAnalog","download_url":"https://codeload.github.com/AnuragAnalog/ML-for-software-project-management/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":248084305,"owners_count":21045124,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["cocomo","dataset","eda","effort","engineering","estimation","jupyter","learning","machine","networks","neural","notebooks","software"],"created_at":"2024-10-12T09:43:17.234Z","updated_at":"2025-04-09T18:08:32.496Z","avatar_url":"https://github.com/AnuragAnalog.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Machine Learning for software effort Estimation\n\nHow Machine Learning can be used in software estimation\n\n## COCOMO Dataset\n\nSoftware development effort multipliers\n\n| Variable | Description |\n| --- | --- |\n| RELY | Reliability |\n| DATA | Database size |\n| CPLX | Application complexity |\n| TIME | Restriction of time |\n| STOR | Restriction of main store |\n| VIRT | Volatility of virtual machine |\n| TURN | Time of machine performance |\n| ACAP | Analyst capability |\n| AEXP | Experience with application |\n| PCAP | Programmer capability |\n| VEXP | Experience with virtual machine |\n| LEXP | Experience with programming language |\n| MODP | Use programming modern practice |\n| TOOL | Use software tools |\n| SCHED | Schedule for development |\n| LOC | Lines of Code |\n| ACTUAL | Software size |\n\nIt is a set of 63 project instances, which has 17 feature columns, out of which 15 are categorical variables, and two are continuous variables.\nOf which Lines of code(LOC) is an independent variable and Effort is the actual target.","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fanuraganalog%2Fml-for-software-project-management","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fanuraganalog%2Fml-for-software-project-management","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fanuraganalog%2Fml-for-software-project-management/lists"}