Metrics Pipeline (Codename): An Analytics and Visualization Pipeline for Software Quality Metrics

Nicholas Synovic; Emmanuel Amobi; Erik Greve; Sophie Von Hatten; Austin Pinderski; Stephanie Rodriguez; Martin Zugschwert; Jamie C Davis; Nicholas Hayward; Konstantin Laufer; George Thiruvathukal; Konstantin Läufer

Metrics Pipeline (Codename): An Analytics and Visualization Pipeline for Software Quality Metrics

Nicholas Synovic, Emmanuel Amobi, Erik Greve, Sophie Von Hatten, Austin Pinderski, Stephanie Rodriguez, Martin Zugschwert, Jamie C Davis, Nicholas Hayward, Konstantin Laufer, George Thiruvathukal, Konstantin Läufer

Purdue University

Research output: Contribution to journal › Article › peer-review

Abstract

The Metrics Pipeline (Codename) focuses on metrics indicative of team progress and project health instead of privileging individual metrics, e.g. number of commits, etc. The Metrics Dashboard allows the user to submit the URL of a hosted repository for batch analysis, whose results are then cached. Upon completion, the user can interactively study various metrics over time (at varying granularity), numerically, and visually. The initial version of the system is up and running as a public cloud service (SaaS) and supports project size (KLOC), defect density, defect spoilage, and productivity. While our system is by no means the first to support software metrics, we believe it may be one of the first community-focused extensible resources that can be used by any hosted project.

Original language	American English
Journal	Undergraduate Research and Engagement Symposium
State	Published - 1800

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Metrics Pipeline (Codename) An Analytics and Visualization PipelFinal published version, 241 KBLicense: Unspecified

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title = "Metrics Pipeline (Codename): An Analytics and Visualization Pipeline for Software Quality Metrics",

abstract = " The Metrics Pipeline (Codename) focuses on metrics indicative of team progress and project health instead of privileging individual metrics, e.g. number of commits, etc. The Metrics Dashboard allows the user to submit the URL of a hosted repository for batch analysis, whose results are then cached. Upon completion, the user can interactively study various metrics over time (at varying granularity), numerically, and visually. The initial version of the system is up and running as a public cloud service (SaaS) and supports project size (KLOC), defect density, defect spoilage, and productivity. While our system is by no means the first to support software metrics, we believe it may be one of the first community-focused extensible resources that can be used by any hosted project.",

author = "Nicholas Synovic and Emmanuel Amobi and Erik Greve and \{Von Hatten\}, Sophie and Austin Pinderski and Stephanie Rodriguez and Martin Zugschwert and Davis, \{Jamie C\} and Nicholas Hayward and Konstantin Laufer and George Thiruvathukal and Konstantin L{\"a}ufer",

year = "1800",

language = "American English",

journal = "Undergraduate Research and Engagement Symposium",

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TY - JOUR

T1 - Metrics Pipeline (Codename): An Analytics and Visualization Pipeline for Software Quality Metrics

AU - Synovic, Nicholas

AU - Amobi, Emmanuel

AU - Greve, Erik

AU - Von Hatten, Sophie

AU - Pinderski, Austin

AU - Rodriguez, Stephanie

AU - Zugschwert, Martin

AU - Davis, Jamie C

AU - Hayward, Nicholas

AU - Laufer, Konstantin

AU - Thiruvathukal, George

AU - Läufer, Konstantin

PY - 1800

Y1 - 1800

N2 - The Metrics Pipeline (Codename) focuses on metrics indicative of team progress and project health instead of privileging individual metrics, e.g. number of commits, etc. The Metrics Dashboard allows the user to submit the URL of a hosted repository for batch analysis, whose results are then cached. Upon completion, the user can interactively study various metrics over time (at varying granularity), numerically, and visually. The initial version of the system is up and running as a public cloud service (SaaS) and supports project size (KLOC), defect density, defect spoilage, and productivity. While our system is by no means the first to support software metrics, we believe it may be one of the first community-focused extensible resources that can be used by any hosted project.

AB - The Metrics Pipeline (Codename) focuses on metrics indicative of team progress and project health instead of privileging individual metrics, e.g. number of commits, etc. The Metrics Dashboard allows the user to submit the URL of a hosted repository for batch analysis, whose results are then cached. Upon completion, the user can interactively study various metrics over time (at varying granularity), numerically, and visually. The initial version of the system is up and running as a public cloud service (SaaS) and supports project size (KLOC), defect density, defect spoilage, and productivity. While our system is by no means the first to support software metrics, we believe it may be one of the first community-focused extensible resources that can be used by any hosted project.

UR - https://ecommons.luc.edu/ures/2021/2021/91

M3 - Article

JO - Undergraduate Research and Engagement Symposium

JF - Undergraduate Research and Engagement Symposium

ER -

Metrics Pipeline (Codename): An Analytics and Visualization Pipeline for Software Quality Metrics

Abstract

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