Publication Type

Conference Proceeding Article

Version

publishedVersion

Publication Date

7-2024

Abstract

Reproducibility of scientic computation is a critical factor in validating its underlying process, but it is often elusive. Complexity and continuous evolution in software systems have introduced new challenges for reproducibility across a myriad of computational sciences, resulting in growing debt. This requires a comprehensive domain-agnostic study to dene and asses Reproducibility Debt (RpD) in scientic software, thus uncovering and classifying all underlying factors attributed towards its emergence and identication i.e., causes and eects. Moreover, an organised map of prevention strategies is imperative to guide researchers for its proactive management. This vision paper highlights the challenges that hinder eective management of RpD in scientic software, with preliminary results from our ongoing work and an agenda for future research.

Keywords

Reproducibility Debt, Technical Debt, Scienti c Software, Scienti c Computing, Computational Software

Discipline

Software Engineering

Research Areas

Software and Cyber-Physical Systems

Areas of Excellence

Digital transformation

Publication

FSE 2024: Companion Proceedings of the 32nd ACM International Conference on the Foundations of Software Engineering, Porto de Galinhas, Brazil, July 15-19

First Page

462

Last Page

466

Identifier

10.1145/3663529.3663778

Publisher

ACM

City or Country

New York

Additional URL

https://doi.org/10.1145/3663529.3663778

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