@article {2016,
	title = {Manifesto on Engineering Academic Software (Dagstuhl Perspectives Workshop 16252)},
	volume = {6},
	year = {2016},
	month = {12/2106},
	institution = {Schloss Dagstuhl {\textendash} Leibniz Center for Informatics},
	address = {Wadern, Germany},
	abstract = {Software is often a critical component of scientific research.  It can be a component of the academic research methods used to produce research results, or it may itself be an academic research result. Software, however, has rarely been considered to be a citable artifact in its own right. With the advent of open-source software, artifact evaluation committees of conferences, and journals that include source code and running systems as part of the published artifacts, we foresee that software will increasingly be recognized as part of the academic process. The quality and sustainability of this software must be accounted for, both a priori and a posteriori. 

The Dagstuhl Perspectives Workshop on {\textquotedblleft}Engineering Academic Software{\textquotedblright} has examined the strengths, weaknesses, risks, and opportunities of academic software engineering. A key outcome of the workshop is this Dagstuhl Manifesto, serving as a roadmap towards future professional software engineering for software-based research instruments and other software produced and used in an academic context.  The manifesto is expressed in terms of a series of actionable {\textquotedblleft}pledges{\textquotedblright} that users and developers of academic research software can take as concrete steps towards improving the environment in which that software is produced.},
	author = {Alice Allen and Cecilia Aragon and Christoph Becker and Jeffrey Carver and Andrei Chi{\c s} and Benoit Combemale and Mike Croucher and Kevin Crowston and Daniel Garijo and Ashish Gehani and Carole Goble and Robert Haines and Robert Hirschfeld and James Howison and Kathryn Huff and Caroline Jay and Daniel S. Katz and Claude Kirchner and Katie Kuksenok and Ralf L{\"a}mmel and Oscar Nierstrasz and Matt Turk and van Nieuwpoort, Rob and Matthew Vaughn and Jurgen Vinju}
}
@proceedings {2010,
	title = {Machine Learning and Rule-Based Automated Coding of Qualitative Data},
	year = {2010},
	month = {10/2010},
	address = {Pittsburgh, PA},
	abstract = {Researchers often employ qualitative research approaches but large volumes of textual data pose considerable challenges to manual coding. In this research, we explore how to implement fully or semi-automatic coding on textual data (specifically, electronic messages) by leveraging Natural Language Processing (NLP). In particular, we compare the performance of human-developed NLP rules to those inferred by machine learning algorithms. The experimental results suggest that NLP with machine learning can be an effective way to assist researchers in coding qualitative data.

},
	keywords = {FLOSS, NLP},
	attachments = {https://floss.syr.edu/sites/crowston.syr.edu/files/ml_nlp.pdf , https://floss.syr.edu/sites/crowston.syr.edu/files/ASIST\%20poster\%202p\%20final.pdf},
	author = {Kevin Crowston and Xiaozhong Liu and Allen, Eileen E. and Heckman, Robert}
}
@proceedings {Crowston:2008c,
	title = {The motivational arc of massive virtual collaboration},
	year = {2008},
	note = {Please refer to the more recent version of the paper. },
	month = {1{\textendash}2 July},
	address = {L{\"u}neberg, Germany},
	abstract = {Massive virtual collaborations (MVC) involve large numbers of mostly unpaid contributors collectively creating new content. Wikipedia is the most dramatic example of MVC; smaller-scale examples include blogs and discussion groups and free/libre open source software (FLOSS) projects. In this paper, we propose a model of motivations for contribution to MVC that integrates various theoretical perspectives to extend prior work. Specifically, we distinguish three different levels of contribution to projects (initial, sustained and meta) and capture the dynamic and recursive effects of contributions on emergent individual and project states.},
	attachments = {https://floss.syr.edu/sites/crowston.syr.edu/files/MortivationalArc.pdf},
	author = {Kevin Crowston and Fagnot, Isabelle}
}
