Preprints (not yet peer-reviewed)

141 downloads
471 views

Statistical books are an opportunity for accessing relatively deeper insights into statistics and software even outside the introductory classroom setting. There are however many resources available to the practitioner in addition to the traditional text model....

["Bioinformatics","Computer Education","Data Science","Programming Languages"]
doi:10.7287/peerj.preprints.26924v1
61 downloads
168 views

IRT models are often applied when observed items are used to measure a unidimensional latent variable. Originally used in educational research, IRT models are now widely used when focus is on physical functioning or psychological well-being. Modern applications...

["Data Science","Graphics","Programming Languages"]
doi:10.7287/peerj.preprints.26740v1
97 downloads
211 views

Configuration files are widely used by scientists and researchers to configure the parameters and initial settings for their computer programs. We present here a Python package that adds physical quantities to these parameters and validate them against user defined...

["Scientific Computing and Simulation","Programming Languages","Software Engineering"]
doi:10.7287/peerj.preprints.3418v1
201 downloads
636 views

Two complementary GIS-based functions are designed and implemented to assess the expected degree of loss due to the occurrence of flood events. Each function processes institutional thematic layers and allows decision makers first to quantify the physical and the...

["Spatial and Geographic Information Systems","Programming Languages"]
doi:10.7287/peerj.preprints.2228v2
17,570 downloads
4,036 views

At Airbnb, R has been amongst the most popular tools for doing data science in many different contexts, including generating product insights, interpreting experiments, and building predictive models. In a recent survey of the Airbnb team, 73% of Data Scientists...

["Data Science","Programming Languages"]
doi:10.7287/peerj.preprints.3182v1
62 downloads
242 views

Distributed open source software development has largely turned to GitHub, a pull-based software development collaboration platform. Recent studies have deployed data science techniques on the large datasets available about millions of projects on GitHub. Some...

["Human-Computer Interaction","Social Computing","Programming Languages","Software Engineering"]
doi:10.7287/peerj.preprints.2989v1
126 downloads
825 views

How often do JavaScript programmers embed structured languages into strings literals? We conduct an empirical investigating mining nearly 500 thousand JavaScript source files from almost ten thousand repositories from GitHub. We parsed each string literal with...

["Programming Languages","Software Engineering"]
doi:10.7287/peerj.preprints.2723v1
272 downloads
473 views

Collections of historical images are currently being scanned to stop their degradation and to enable a numeric exploitation. These collections have a high cultural, artistic and scientific value. However, they are not fully exploited because the photographs do...

["Spatial and Geographic Information Systems","Programming Languages"]
doi:10.7287/peerj.preprints.2243v2
292 downloads
669 views

Remote sensing techniques provide a new way to obtain hydrological variables (i.e. rainfall and soil moisture), mainly in poorly instrumented areas that are fundamental for natural hazard assessment and mitigation. The ever increasing availability of satellite...

["Data Science","Scientific Computing and Simulation","Programming Languages"]
doi:10.7287/peerj.preprints.2131v4
253 downloads
346 views

GIS technology has been used for many years in environmental risk analysis due to its capability to focus on the management and analysis of geographic and alphanumeric data to support spatial decision-making (Vairavamoorthy et al, 2007). Especially in emergency...

["Spatial and Geographic Information Systems","Programming Languages"]
doi:10.7287/peerj.preprints.2235v2
64,504 downloads
110,091 views

Biases against women in the workplace have been documented in a variety of studies. This paper presents the largest study to date on gender bias, where we compare acceptance rates of contributions from men versus women in an open source software community. Surprisingly,...

["Human-Computer Interaction","Social Computing","Programming Languages","Software Engineering"]
doi:10.7287/peerj.preprints.1733v2
127 downloads
668 views

Background: Modern software development teams are distributed across onsite and off-shore locations. Each team has developers with varying experience levels and English communication skills. In such a diverse development environment it is important to maintain...

["Computer Architecture","Programming Languages","Software Engineering"]
doi:10.7287/peerj.preprints.2163v1
131 downloads
460 views

Software development processes are collaborative in nature. Neglecting the key role of end-users leads to software unlikely to satisfy their needs. This collaboration becomes specially important when creating Domain-Specific Modeling Languages (DSMLs), which are...

["Programming Languages","Software Engineering"]
doi:10.7287/peerj.preprints.2046v1
2,651 downloads
2,001 views

Continuous Integration (CI) has become a best practice of modern software development. At present, we have a shortfall of insight into the testing practices that are common in CI-based software development. In particular, we seek quantifiable evidence on how central...

["Data Science","Programming Languages","Software Engineering"]
doi:10.7287/peerj.preprints.1984v1
259 downloads
883 views

Background. Today, redundancy in source code, so-called “clones”, caused by copy&paste can be found reliably using clone detection tools. Redundancy can arise also independently, however, caused not by copy&paste. At present, it is not clear how only functionally...

["Programming Languages","Software Engineering"]
doi:10.7287/peerj.preprints.1516v2
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