计算材料科学中验证和验证科学软件的挑战

2019 IEEE/ACM 14th International Workshop on Software Engineering for Science (SE4Science) Pub Date : 2019-05-01 DOI:10.1109/SE4Science.2019.00010

T. Vogel, Stephan Druskat, M. Scheidgen, C. Ambrosch-Draxl, L. Grunske

{"title":"计算材料科学中验证和验证科学软件的挑战","authors":"T. Vogel, Stephan Druskat, M. Scheidgen, C. Ambrosch-Draxl, L. Grunske","doi":"10.1109/SE4Science.2019.00010","DOIUrl":null,"url":null,"abstract":"Many fields of science rely on software systems to answer different research questions. For valid results researchers need to trust the results scientific software produces, and consequently quality assurance is of utmost importance. In this paper we are investigating the impact of quality assurance in the domain of computational materials science (CMS). Based on our experience in this domain we formulate challenges for validation and verification of scientific software and their results. Furthermore, we describe directions for future research that can potentially help dealing with these challenges.","PeriodicalId":135738,"journal":{"name":"2019 IEEE/ACM 14th International Workshop on Software Engineering for Science (SE4Science)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"Challenges for Verifying and Validating Scientific Software in Computational Materials Science\",\"authors\":\"T. Vogel, Stephan Druskat, M. Scheidgen, C. Ambrosch-Draxl, L. Grunske\",\"doi\":\"10.1109/SE4Science.2019.00010\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Many fields of science rely on software systems to answer different research questions. For valid results researchers need to trust the results scientific software produces, and consequently quality assurance is of utmost importance. In this paper we are investigating the impact of quality assurance in the domain of computational materials science (CMS). Based on our experience in this domain we formulate challenges for validation and verification of scientific software and their results. Furthermore, we describe directions for future research that can potentially help dealing with these challenges.\",\"PeriodicalId\":135738,\"journal\":{\"name\":\"2019 IEEE/ACM 14th International Workshop on Software Engineering for Science (SE4Science)\",\"volume\":\"17 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-05-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 IEEE/ACM 14th International Workshop on Software Engineering for Science (SE4Science)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SE4Science.2019.00010\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE/ACM 14th International Workshop on Software Engineering for Science (SE4Science)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SE4Science.2019.00010","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 7

摘要

许多科学领域依靠软件系统来回答不同的研究问题。为了获得有效的结果，研究人员需要信任科学软件产生的结果，因此质量保证是至关重要的。在本文中，我们正在研究质量保证在计算材料科学(CMS)领域的影响。根据我们在这一领域的经验，我们为科学软件及其结果的确认和验证制定了挑战。此外，我们还描述了未来研究的方向，这些方向可能有助于应对这些挑战。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Challenges for Verifying and Validating Scientific Software in Computational Materials Science

Many fields of science rely on software systems to answer different research questions. For valid results researchers need to trust the results scientific software produces, and consequently quality assurance is of utmost importance. In this paper we are investigating the impact of quality assurance in the domain of computational materials science (CMS). Based on our experience in this domain we formulate challenges for validation and verification of scientific software and their results. Furthermore, we describe directions for future research that can potentially help dealing with these challenges.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

2019 IEEE/ACM 14th International Workshop on Software Engineering for Science (SE4Science)

自引率

0.00%

发文量