I/O Associations in Scientific Software: A Study of SWMM

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

6 Scopus citations

Abstract

Understanding which input and output variables are related to each other is important for metamorphic testing, a simple and effective approach for testing scientific software. We report in this paper a quantitative analysis of input/output (I/O) associations based on co-occurrence statistics of the user manual, as well as association rule mining of a user forum, of the Storm Water Management Model (SWMM). The results show a positive correlation of the identified I/O pairs, and further reveal the complementary aspects of the user manual and user forum in supporting scientific software engineering tasks.

Original languageEnglish
Title of host publicationComputational Science – ICCS 2021 - 21st International Conference, Proceedings
EditorsMaciej Paszynski, Dieter Kranzlmüller, Dieter Kranzlmüller, Valeria V. Krzhizhanovskaya, Jack J. Dongarra, Peter M. Sloot, Peter M. Sloot, Peter M. Sloot
PublisherSpringer Science and Business Media Deutschland GmbH
Pages375-389
Number of pages15
ISBN (Print)9783030779795
DOIs
StatePublished - 2021
Event21st International Conference on Computational Science, ICCS 2021 - Virtual, Online
Duration: Jun 16 2021Jun 18 2021

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume12747 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference21st International Conference on Computational Science, ICCS 2021
CityVirtual, Online
Period06/16/2106/18/21

Keywords

  • Association rule mining
  • Scientific software
  • Storm Water Management Model (SWMM)
  • User forum
  • User manual

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