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ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Impact Factor : 8.14

Issue per Year : 12

Volume Published : 11

Issue Published : 120

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Paper Title: Developer Productivity Analytics Using Git Commit Data
Authors Name: V MUTHU KARTHIK , R PRAJWAL , S YUVARAJ , L DEEPIKA
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IJRTI_210203
Published Paper Id: IJRTI2604287
Published In: Volume 11 Issue 4, April-2026
DOI:
Abstract: Software development teams rely heavily on version control systems such as Git to manage and track changes in source code.Every code modification performed by developers is stored as commit data, which contains valuable information regarding development activity and contribution patterns. However, many organizations do not fully utilize this data to evaluate developer productivity. Traditional evaluation methods are often manual and subjective, which may lead to inaccurate performance assessments. This paper proposes a Developer Productivity Analytics system that analyzes Git commit data to evaluate developer contributions. The system extracts key metrics such as commit frequency, lines of code added or deleted, active development days, and code churn. These metrics are processed using data analytics techniques and visualized through dashboards and reports. The proposed system transforms raw Git repository data into meaningful productivity insights that support data‑driven decision‑making and transparent performance evaluation in software development teams.
Keywords: Developer Productivity, Git Analytics, Software Engineering Metrics, Data Analysis, Version Control Systems
Cite Article: "Developer Productivity Analytics Using Git Commit Data", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2456-3315, Vol.11, Issue 4, page no.c97-c100, April-2026, Available :http://www.ijrti.org/papers/IJRTI2604287.pdf
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ISSN: 2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publication Details: Published Paper ID: IJRTI2604287
Registration ID:210203
Published In: Volume 11 Issue 4, April-2026
DOI (Digital Object Identifier):
Page No: c97-c100
Country: Namakkal, Tamil Nadu, India
Research Area: Engineering
Publisher : IJ Publication
Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2604287
Published Paper PDF: https://www.ijrti.org/papers/IJRTI2604287
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED, Journal Starting Year (ESTD) : 2016

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