1,721,019 research outputs found
Automated classification of NASA anomalies using natural language processing techniques
No full textNASA anomaly databases are rich resources of software failure data in the field. These data are often captured in natural language that is not appropriate for trending or statistical analyses. This fast abstract describes a feasibility study of applying 60 natural language processing techniques for automatically classifying anomaly data to enable trend analyses. © 2013 IEEE
Ask the engineers: Exploring repertory grids and personal constructs for software data analysis
No full textMaturity in software projects is often equated with data-driven predictability. However, data collection is expensive and measuring all variables that may correlate with project outcome is neither practical nor feasible. In contrast, a project engineer can identify a handful of factors that he or she believes influence the success of a project. The challenge is to quantify engineers' insights in a way that is useful for data analysis. In this exploratory study, we investigate the repertory grid technique for this purpose. The repertory grid technique is an interview-based procedure for eliciting 'constructs' (e.g., Adhering to coding standards) that individuals believe influence a worldly phenomenon (e.g., What makes a high-quality software project) by comparing example elements from their past (e.g., Projects they have worked on). We investigate the relationship between objective metrics of project performance and repertory grid constructs elicited from eight software engineers. Our results show correlations between the engineers' subjective constructs and the objective project outcome measures. This suggests that repertory grids may be of benefit in developing models of project outcomes, particularly when project data is limited
Technical debt: Showing the way for better transfer of empirical results
No full textIn this chapter, we discuss recent progress and opportunities in empirical software engineering by focusing on a particular technology, Technical Debt (TD), which ties together many recent developments in the field. Recent advances in TD research are providing empiricists the chance to make more sophisticated recommendations that have observable impact on practice. TD uses a financial metaphor and provides a framework for articulating the notion of tradeoffs between the short-term benefits and the long-term costs of software development decisions. TD is seeing an explosion of interest in the practitioner community, and research in this area is quickly having an impact on practice. We argue that this is due to several strands of empirical research reaching a level of maturity that provides useful benefits to practitioners, who in turn provide excellent data to researchers. They key is providing observable benefit to practitioners, such as the ability to tie technical debt measures to business goals, and the ability to articulate more sophisticated value-based propositions regarding how to prioritize rework. TD is an interesting case study in how the maturing field of empirical software engineering research is paying dividends. It is only a little hyperbolic to call this a watershed moment for empirical study, where many areas of progress are coming to a head at the same time
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Characterization of cull sows harvested in the U.S.
No full textStalder, K.J.; Knauer, M.; Karriker, L.; Baas, T.J.; Johnson, C.; Serenius, T.; Layman, L.; Mabry, J. W.; McKean, J.D.. (2006). Characterization of cull sows harvested in the U.S.. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/157430
Performance and economic evaluation of feeding cull sows
No full textFitzgerald, R.; Stalder, K.J.; Karriker, L.; Knauer, M.; Johnson, C.; Baas, T.J.; Layman, L.; Mabry, J. W.. (2006). Performance and economic evaluation of feeding cull sows. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/157432
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