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An Industrial Case Study on Shrinking Code Review Changesets through Remark Prediction [article]

Tobias Baum and Steffen Herbold and Kurt Schneider
2018 arXiv   pre-print
Change-based code review is used widely in industrial software development. Thus, research on tools that help the reviewer to achieve better review performance can have a high impact.  ...  Besides the main results on the mining and prediction of triggers for review remarks, we contribute experiences with a novel, multi-objective and interactive rule mining approach.  ...  Furthermore, we would like to thank Eirini Ntoutsi for input on the data mining approach, Javad Ghofrani for providing his mining server and Melanie Busch and Wasja Brunotte for feedback on an article  ... 
arXiv:1812.09510v1 fatcat:biwaz4fokzhdfdaj4aoukofxli

Spatiotemporal enabled Content-based Image Retrieval

Mariana Belgiu, Martin Sudmanns, Tiede Dirk, Andrea Baraldi, Stefan Lang
2016 International Conference on GIScience Short Paper Proceedings  
One of the key issues of all deployment optimization algorithms is accurate estimation of the coverage of an individual sensor.  ...  An individual sensor covers only a limited area, which depends on its sensing capacity, range of communication as well as the environment's complexity.  ...  Demšar who read and commented on an earlier version.  ... 
doi:10.21433/b311729295dw fatcat:fulw4pw3kfh5nmfzcsy3pkisvm

Applied Machine Learning [article]

Michael Richter, University Of Calgary, University Of Calgary
This Technical Reports contains the documentation of the reports of the students of this class on the projects they performed.  ...  faultiness prediction as well as industrial surveys on deriving quality measures of software systems.  ...  This study is framed as an exploratory study into this concept conducted from an empirical perspective.  ... 
doi:10.11575/prism/30968 fatcat:xqt6oao23rczhlrppigmd5hjfu

Estimating Fine-Grained Mobile Application Energy Use based on Run-Time Software Measured Features

Stephen Romansky
Hindle for supervising my studies, to peers and colleagues for providing discussion, and to my parents for support.  ...  For funding thank you to: Nvidia for support through the NVIDIA TITAN X GPU grant that was used in this research; thank you University of Alberta for funding through the QE II award; thank you Alberta  ...  A case study is performed with the tool that enables developers to fix hotspots in their code to reduce energy consumption by 46%.  ... 
doi:10.7939/r3-4rdh-2j11 fatcat:5xg5eytk6bdlfpppg3djovnmgi