@article {9999,
	title = {Using natural language processing for qualitative data analysis},
	journal = {International Journal of Social Research Methodology},
	volume = {15},
	year = {2012},
	month = {2012},
	chapter = {523-543},
	abstract = {Social researchers often apply qualitative research methods to study groups and their communications artefacts. The use of computer-mediated communications has dramatically increased the volume of text available, but coding such text requires considerable manual effort. We discuss how systems that process text in human languages (i.e., natural language processing, NLP) might partially automate content analysis by extracting theoretical evidence. We present a case study of the use of NLP for qualitative analysis in which the NLP rules showed good performance on a number of codes. With the current level of performance, use of an NLP system could reduce the amount of text to be examined by a human coder by an order of magnitude or more, potentially increasing the speed of coding by a comparable degree. The paper is significant as it is one of the first to demonstrate the use of high-level NLP techniques for qualitative data analysis.},
	doi = {10.1080/13645579.2011.625764},
	attachments = {https://floss.syr.edu/sites/crowston.syr.edu/files/NLP_for_qualitative_analysis.pdf},
	author = {Kevin Crowston and Allen, Eileen E. and Heckman, Robert}
}
@article {2010,
	title = {The under-appreciated role of stigmergic coordination in software development},
	year = {2010},
	abstract = {<p>Coordination in software development teams has been a topic of perennial interest in empirical software engineering research. The vast majority of this literature has drawn on a conceptual separation between work and coordination mechanisms, separate from the work itself, which enable groups to achieve coordination. Traditional recommendations and software methods focused on planning: using analysis to predict and manage dependencies. Empirical research has demonstrated the limits of this approach, showing that many important dependencies are emergent and pointing to the persistent importance of explicit discussion to managing these dependencies as they arise. Drawing on work in Computer-Supported Collaborative Work and building from an analogy to collaboration amongst insects (stigmergy), we argue that the work product itself plays an under-appreciated role in helping software developers manage dependencies as they arise. This short paper presents the conceptual argument with empirical illustrations and explains why this mechanism would have significant implications for Software Engineering coordination research. We discuss issues in marshaling clear positive evidence, arguing that these issues are responsible, in part, for the under-consideration of this mechanism in software engineering and outlining research strategies which may overcome these issues.</p>},
	keywords = {Coordination, FLOSS, Stigmergy},
	attachments = {https://floss.syr.edu/sites/crowston.syr.edu/files/stigmergy-short.pdf},
	author = {Bolici, Francesco and James Howison and Kevin Crowston}
}
