https://puma.ub.uni-stuttgart.de/group/simtech/opensourcePUMA RSS feed for /group/simtech/opensource2026-04-24T11:21:03+02:00https://puma.ub.uni-stuttgart.de/bibtex/21067f244d259e0508d982198162629cd/hermannhermann2021-05-27T14:08:47+02:00forschungsdaten software opensource diss <span data-person-type="author" class="authorEditorList "><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Mateusz Kuzak" itemprop="url" href="/person/16e78586c851511bb216526a592d1da2c/author/0"><span itemprop="name">M. Kuzak</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Jen Harrow" itemprop="url" href="/person/16e78586c851511bb216526a592d1da2c/author/1"><span itemprop="name">J. Harrow</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Rafael C. Jimenez" itemprop="url" href="/person/16e78586c851511bb216526a592d1da2c/author/2"><span itemprop="name">R. Jimenez</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Paula Andrea Martinez" itemprop="url" href="/person/16e78586c851511bb216526a592d1da2c/author/3"><span itemprop="name">P. Martinez</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Fotis E. Psomopoulos" itemprop="url" href="/person/16e78586c851511bb216526a592d1da2c/author/4"><span itemprop="name">F. Psomopoulos</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Radka Svobodová Vařeková" itemprop="url" href="/person/16e78586c851511bb216526a592d1da2c/author/5"><span itemprop="name">R. Svobodová Vařeková</span></a></span>, </span> und <span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Allegra Via" itemprop="url" href="/person/16e78586c851511bb216526a592d1da2c/author/6"><span itemprop="name">A. Via</span></a></span></span>. </span><span class="additional-entrytype-information"><span itemtype="http://schema.org/Book" itemscope="itemscope" itemprop="isPartOf"><em><span itemprop="name">2018 IEEE 14th International Conference on e-Science (e-Science)</span>, </em></span><em>Seite <span itemprop="pagination">19-20</span>. </em>(<em><span>Oktober 2018<meta content="Oktober 2018" itemprop="datePublished"/></span></em>)</span>Thu May 27 14:08:47 CEST 20212018 IEEE 14th International Conference on e-Science (e-Science)1019-20Lesson Development for Open Source Software Best Practices Adoption2018forschungsdaten software opensource diss The "ELIXIR Training Platform" is partnering with The Carpentries (Software and Data Carpentry) to train life science researchers in computing and data management skills. The "ELIXIR Software development best practices" group, which is part of the ELIXIR Tools Platform, has proposed "Four simple recommendations to encourage best practices in research software" aiming to help researchers and developers to adopt Open Source Software (OSS) practices and thus improve the quality and sustainability of research software. In order to encourage researchers and developers to adopt the four recommendations (4OSS) and build FAIR software, we are developing specific and practical training materials, taking advantage of the Carpentries approach and experience in training material development and maintenance.https://puma.ub.uni-stuttgart.de/bibtex/2ab15660494f079d5f9b1975f132c3ab6/hermannhermann2021-01-08T07:37:22+01:00forschungsdaten software opensource diss quality <span data-person-type="author" class="authorEditorList "><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="W. Hasselbring" itemprop="url" href="/person/15044a726053d892d0e09d646e30efb73/author/0"><span itemprop="name">W. Hasselbring</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="L. Carr" itemprop="url" href="/person/15044a726053d892d0e09d646e30efb73/author/1"><span itemprop="name">L. Carr</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="S. Hettrick" itemprop="url" href="/person/15044a726053d892d0e09d646e30efb73/author/2"><span itemprop="name">S. Hettrick</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="H. Packer" itemprop="url" href="/person/15044a726053d892d0e09d646e30efb73/author/3"><span itemprop="name">H. Packer</span></a></span>, </span> und <span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="T. Tiropanis" itemprop="url" href="/person/15044a726053d892d0e09d646e30efb73/author/4"><span itemprop="name">T. Tiropanis</span></a></span></span>. </span><span class="additional-entrytype-information"><span itemtype="http://schema.org/PublicationIssue" itemscope="itemscope" itemprop="isPartOf"><em><span itemprop="journal">Computer</span>, </em> <em><span itemtype="http://schema.org/PublicationVolume" itemscope="itemscope" itemprop="isPartOf"><span itemprop="volumeNumber">53 </span></span>(<span itemprop="issueNumber">8</span>): <span itemprop="pagination">84-88</span></em> </span>(<em><span>August 2020<meta content="August 2020" itemprop="datePublished"/></span></em>)</span>Fri Jan 08 07:37:22 CET 2021Computer08884-88Open Source Research Software532020forschungsdaten software opensource diss quality Reports on the need to make make software open source. It should be both archived for reproducibility and actively maintained for reusability. In computational and computer science, research software is a central asset for development activities. For good scientific practice, the resulting research software should be open source. Established open source software licenses provide sufficient options for granting permissions such that it should be the rare exception to keep research software closed. Proper engineering is required for obtaining reusable and sustainable research software. This way, software engineering methods may improve research in other disciplines. However, research in software engineering and computer science itself will also benefit when programs are reused. To study the state of the art in this field, we analyzed research software publishing practices in computer and computational science and observed significant differences: computational science emphasizes reproducibility, while computer science emphasizes reuse.https://puma.ub.uni-stuttgart.de/bibtex/2e4602e1b778dfd0b8c4ab043258649fb/hermannhermann2020-05-22T09:58:40+02:00forschungsdaten software opensource <span data-person-type="author" class="authorEditorList "><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Wolfgang Bangerth" itemprop="url" href="/person/1876a0794c6b75f4a00af9639d365b24e/author/0"><span itemprop="name">W. Bangerth</span></a></span>, </span> und <span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Timo Heister" itemprop="url" href="/person/1876a0794c6b75f4a00af9639d365b24e/author/1"><span itemprop="name">T. Heister</span></a></span></span>. </span><span class="additional-entrytype-information"><span itemtype="http://schema.org/PublicationIssue" itemscope="itemscope" itemprop="isPartOf"><em><span itemprop="journal">Computational Science &amp; Discovery</span>, </em> <em><span itemtype="http://schema.org/PublicationVolume" itemscope="itemscope" itemprop="isPartOf"><span itemprop="volumeNumber">6 </span></span>(<span itemprop="issueNumber">1</span>): <span itemprop="pagination">015010</span></em> </span>(<em><span>November 2013<meta content="November 2013" itemprop="datePublished"/></span></em>)</span>Fri May 22 09:58:40 CEST 2020Computational Science {\&} Discovery111015010What makes computational open source software libraries successful?62013forschungsdaten software opensource Software is the backbone of scientific computing. Yet, while we regularly publish detailed accounts about the results of scientific software, and while there is a general sense of which numerical methods work well, our community is largely unaware of best practices in writing the large-scale, open source scientific software upon which our discipline rests. This is particularly apparent in the commonly held view that writing successful software packages is largely the result of simply ‘being a good programmer’ when in fact there are many other factors involved, for example the social skill of community building. In this paper, we consider what we have found to be the necessary ingredients for successful scientific software projects and, in particular, for software libraries upon which the vast majority of scientific codes are built today. In particular, we discuss the roles of code, documentation, communities, project management and licenses. We also briefly comment on the impact on academic careers of engaging in software projects.