Member

SJIF Impact Factor 8.659 | ISSN: 2582-3930

International Journal of Scientific Research in Engineering and Management

(Gateway to Global Scholars - An International, Scholarly, Multi-Disciplinary, Open Access Journal)

Peer-Reviewed Journal Designed to Meet UGC's Quality Parameters

Loading article...

ArticlePeer ReviewedOpen AccessPlagiarism Passed

Paper ID:IJSREM53618

Estimating Agile Effort through Merge Request Analytics with an Explainable T-Shirt Sizing Model

Stream/Area:

Subject:

Paper ID:

IJSREM53618

Volume:

9 |

11 |

Nov 2025

Pages:

Publication Frequency:

Monthly (12 issues per year)

Digital Object Identifier

10.55041/IJSREM53618

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

Share this article:

Authors

Muthukrishnan Thukkaram

Author Services & Downloads

Full Articles

Abstract

Automated effort estimation that maps engineering work to agile sizing units (e.g., T-shirt sizes) would greatly streamline planning and release forecasting. We propose MR-Size, an explainable, repository-driven estimator that computes a composite complexity score for GitLab merge requests using code diffs, per-file weights, contributor dynamics, and semantic contextual signals (

KEYWORDS

and text embeddings)

Cite This Article

Muthukrishnan Thukkaram, "Estimating Agile Effort through Merge Request Analytics with an Explainable T-Shirt Sizing Model," International Journal of Scientific Research in Engineering and Management, vol. 9, no. 11, Nov 2025. https://doi.org/10.55041/IJSREM53618

Full Article/Conclusion

References

Editorial & Review Transparency

Publication Date

8/10/2025

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

Documents

Review Report (Confidential)

Article Metrics & Impact

Article Views

Total views since publication

PDF Downloads

Total downloads since publication

Geographic Reach

Indexing, Archiving & Preservation

Digital Preservation: This article is permanently archived on Zenodo and complies with all data preservation standards across major indexing platforms.

Ethics, Compliance & Transparency

Plagiarism Screening

This manuscript has been checked for plagiarism using TurnitinPlagiarismChecker software.

Conflict of Interest

The authors declare no conflict of interest related to this research work.

Funding Information

No funding information available for this research.

Similar & Recommended Articles