2009 ICSE Workshop on Software Engineering for Computational Science and Engineering最新文献

Refactoring and the evolution of Fortran 重构和 Fortran 的演变

2009 ICSE Workshop on Software Engineering for Computational Science and Engineering Pub Date : 2009-05-23 DOI: 10.1109/SECSE.2009.5069159

J. Overbey, Stas Negara, Ralph E. Johnson

引用次数: 26

How do scientists develop and use scientific software? 科学家如何开发和使用科学软件?

2009 ICSE Workshop on Software Engineering for Computational Science and Engineering Pub Date : 2009-05-23 DOI: 10.1109/SECSE.2009.5069155

J. Hannay, H. Langtangen, Carolyn MacLeod, Dietmar Pfahl, J. Singer, G. Wilson

{"title":"How do scientists develop and use scientific software?","authors":"J. Hannay, H. Langtangen, Carolyn MacLeod, Dietmar Pfahl, J. Singer, G. Wilson","doi":"10.1109/SECSE.2009.5069155","DOIUrl":"https://doi.org/10.1109/SECSE.2009.5069155","url":null,"abstract":"New knowledge in science and engineering relies increasingly on results produced by scientific software. Therefore, knowing how scientists develop and use software in their research is critical to assessing the necessity for improving current development practices and to making decisions about the future allocation of resources. To that end, this paper presents the results of a survey conducted online in October-December 2008 which received almost 2000 responses. Our main conclusions are that (1) the knowledge required to develop and use scientific software is primarily acquired from peers and through self-study, rather than from formal education and training; (2) the number of scientists using supercomputers is small compared to the number using desktop or intermediate computers; (3) most scientists rely primarily on software with a large user base; (4) while many scientists believe that software testing is important, a smaller number believe they have sufficient understanding about testing concepts; and (5) that there is a tendency for scientists to rank standard software engineering concepts higher if they work in large software development projects and teams, but that there is no uniform trend of association between rank of importance of software engineering concepts and project/team size.","PeriodicalId":311477,"journal":{"name":"2009 ICSE Workshop on Software Engineering for Computational Science and Engineering","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131721849","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 237

Preparing scientists for scalable software development 让科学家为可扩展软件开发做好准备

2009 ICSE Workshop on Software Engineering for Computational Science and Engineering Pub Date : 2009-05-23 DOI: 10.1109/SECSE.2009.5069166

Valerie Maxville

{"title":"Preparing scientists for scalable software development","authors":"Valerie Maxville","doi":"10.1109/SECSE.2009.5069166","DOIUrl":"https://doi.org/10.1109/SECSE.2009.5069166","url":null,"abstract":"Software development projects have always struggled to find the balance between domain knowledge and software engineering skills and experience. In computational science, this situation is in the extreme, requiring highly specific domain knowledge paired with skills in tuning parallel programs for optimal performance on specific hardware. These projects often take place in very small teams, or by an individual researcher, who must embody both the scientist and the software engineer. Through observation of a range of computational science projects, and the implementation of rigorous software engineering methods in larger projects, we can reflect on where to bring some of the formality of software engineering into computational science. As part of the iVEC Education Program we provide training to eResearchers, which provides an opportunity to prepare scientists for software projects. By infusing the training program with Software Engineering principles, we can provide best practice essentials to the scientists whose code may eventually need to be scaled to multiple processors, platforms, sites, users and developers. By promoting easily adopted, high-return techniques, we hope to develop a culture where quality is intrinsic, reuse is maximised and effort can be focussed on innovative, robust science.","PeriodicalId":311477,"journal":{"name":"2009 ICSE Workshop on Software Engineering for Computational Science and Engineering","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130202173","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 5

Integration strategies for Computational Science & Engineering software 计算科学与工程软件的集成策略

2009 ICSE Workshop on Software Engineering for Computational Science and Engineering Pub Date : 2009-05-23 DOI: 10.1109/SECSE.2009.5069160

R. Bartlett

引用次数: 9

Some challenges facing software engineers developing software for scientists 为科学家开发软件的软件工程师面临的一些挑战

2009 ICSE Workshop on Software Engineering for Computational Science and Engineering Pub Date : 2009-05-23 DOI: 10.1109/SECSE.2009.5069156

J. Segal

引用次数: 30

Testing for trustworthiness in scientific software 科学软件的可信度测试

2009 ICSE Workshop on Software Engineering for Computational Science and Engineering Pub Date : 2009-05-23 DOI: 10.1109/SECSE.2009.5069163

D. Hook, D. Kelly

引用次数: 49

Injecting software architectural constraints into legacy scientific applications 将软件架构约束注入到遗留科学应用程序中

2009 ICSE Workshop on Software Engineering for Computational Science and Engineering Pub Date : 2009-05-23 DOI: 10.1109/SECSE.2009.5069164

D. Woollard, C. Mattmann, N. Medvidović

引用次数: 9

Reusability of FEA software: A program family approach 有限元分析软件的可重用性:一个程序族方法

2009 ICSE Workshop on Software Engineering for Computational Science and Engineering Pub Date : 2009-05-23 DOI: 10.1109/SECSE.2009.5069161

Wen Yu, Spencer Smith

引用次数: 9

Developing scientific applications using Generative Programming 使用生成式编程开发科学应用程序

2009 ICSE Workshop on Software Engineering for Computational Science and Engineering Pub Date : 2009-05-23 DOI: 10.1109/SECSE.2009.5069162

R. Arora, P. Bangalore, M. Mernik

引用次数: 7

An empirical characterization of scientific software development projects according to the Boehm and Turner model: A progress report 根据Boehm和Turner模型的科学软件开发项目的经验特征:进度报告

2009 ICSE Workshop on Software Engineering for Computational Science and Engineering Pub Date : 2009-05-23 DOI: 10.1109/SECSE.2009.5069158

Carlton A. Crabtree, A. G. Koru, C. Seaman, H. Erdogmus

{"title":"An empirical characterization of scientific software development projects according to the Boehm and Turner model: A progress report","authors":"Carlton A. Crabtree, A. G. Koru, C. Seaman, H. Erdogmus","doi":"10.1109/SECSE.2009.5069158","DOIUrl":"https://doi.org/10.1109/SECSE.2009.5069158","url":null,"abstract":"A number of recent studies reported on the success of applying agile methods in scientific software development projects. These studies found that agile methods are well suited to the exploratory, iterative, and collaborative nature of scientific inquiry. However, these findings might not be applicable in all situations pertaining to scientific software development projects. In addition, they only constitute a subset of the important factors while deciding which development methods and practices should be adopted. Therefore, it becomes important to conduct further research before making recommendations regarding the adoption of certain development methods and practices in this domain. In this progress report, we discuss our on-going research that will empirically study the characteristics of various scientific software development projects according to a model suggested by Boehm and Turner. We plan to conduct interviews and collect data from various scientific software development projects in the Baltimore-Washington area. We expect that our qualitative results will increase our understanding of the characteristics in those projects favoring plan-driven approaches or agile methods, and the needs and conditions associated with those characteristics. Our research provides guidance to scientific software developers by enhancing their capacity to evaluate and understand their own project characteristics and select effective software practices. As a long-term benefit in the same direction, our qualitative results will generate a set of hypotheses that can be tested in different project environments to better understand and categorize scientific software development projects. Consequently, in the future, more generalizable and actionable recommendations can be made for scientific software development projects.","PeriodicalId":311477,"journal":{"name":"2009 ICSE Workshop on Software Engineering for Computational Science and Engineering","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127385906","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 12