Increasing Quality And Managing Complexity In Neuroinformatics Software Development With Continuous Integration. - Info and Reading Options
By Zaytsev, Yury V. and Morrison, Abigail
"Increasing Quality And Managing Complexity In Neuroinformatics Software Development With Continuous Integration." and the language of the book is English.
“Increasing Quality And Managing Complexity In Neuroinformatics Software Development With Continuous Integration.” Metadata:
- Title: ➤ Increasing Quality And Managing Complexity In Neuroinformatics Software Development With Continuous Integration.
- Authors: Zaytsev, Yury V.Morrison, Abigail
- Language: English
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- Internet Archive ID: pubmed-PMC3539731
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The Internet Archive:
This article is from <a href="//archive.org/search.php?query=journaltitle%3A%28Frontiers%20in%20Neuroinformatics%29" rel="ugc nofollow">Frontiers in Neuroinformatics</a>, <a href="//archive.org/search.php?query=journaltitle%3A%28Frontiers%20in%20Neuroinformatics%29%20AND%20volume%3A%286%29" rel="ugc nofollow">volume 6</a>.<h2>Abstract</h2>High quality neuroscience research requires accurate, reliable and well maintained neuroinformatics applications. As software projects become larger, offering more functionality and developing a denser web of interdependence between their component parts, we need more sophisticated methods to manage their complexity. If complexity is allowed to get out of hand, either the quality of the software or the speed of development suffer, and in many cases both. To address this issue, here we develop a scalable, low-cost and open source solution for continuous integration (CI), a technique which ensures the quality of changes to the code base during the development procedure, rather than relying on a pre-release integration phase. We demonstrate that a CI-based workflow, due to rapid feedback about code integration problems and tracking of code health measures, enabled substantial increases in productivity for a major neuroinformatics project and additional benefits for three further projects. Beyond the scope of the current study, we identify multiple areas in which CI can be employed to further increase the quality of neuroinformatics projects by improving development practices and incorporating appropriate development tools. Finally, we discuss what measures can be taken to lower the barrier for developers of neuroinformatics applications to adopt this useful technique.
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"Increasing Quality And Managing Complexity In Neuroinformatics Software Development With Continuous Integration." is available for download from The Internet Archive in "texts" format, the size of the file-s is: 15.88 Mbs, and the file-s went public at Wed Oct 29 2014.
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