About: Testing Research Software: A Case Study

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type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
title	Testing Research Software: A Case Study
Creator	Carver, Jeffrey David Moulton, J Eisty, Nasir Nam, Hai Perez, Danny
source	PMC
abstract	Background: The increasing importance of software for the conduct of various types of research raises the necessity of proper testing to ensure correctness. The unique characteristics of the research software produce challenges in the testing process that require attention. Aims: Therefore, the goal of this paper is to share the experience of implementing a testing framework using a statistical approach for a specific type of research software, i.e. non-deterministic software. Method: Using the ParSplice research software project as a case, we implemented a testing framework based on a statistical testing approach called Multinomial Test. Results: Using the new framework, we were able to test the ParSplice project and demonstrate correctness in a situation where traditional methodical testing approaches were not feasible. Conclusions: This study opens up the possibilities of using statistical testing approaches for research software that can overcome some of the inherent challenges involved in testing non-deterministic research software.
has issue date	2020-05-25(xsd:dateTime)
bibo:doi	10.1007/978-3-030-50436-6_33
has license	no-cc
sha1sum (hex)	08ab924b12e7cd8cada853485e6fb39fe9f51732
schema:url	https://doi.org/10.1007/978-3-030-50436-6_33
resource representing a document's title	Testing Research Software: A Case Study
has PubMed Central identifier	PMC7304767
schema:publication	Computational Science - ICCS 2020
resource representing a document's body	covid:08ab924b12e7cd8cada853485e6fb39fe9f51732#body_text
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