Other
Abstract
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High energy consumption is a challenging issue that an ever increasing number of mobile applications face today.
However, energy consumption is being tested in an ad hoc way, despite being an important non-functional requirement of an application.
Such limitation becomes particularly disconcerting during software testing: on the one hand, developers do not really know how to measure energy; on the other hand, there is no knowledge as to what is the energy overhead imposed by the testing framework.
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10,000 rows of sample data in four formats (CSV, JSON, XML, XLSX) for testing. Fields are as follows: seq, first, last, age, street, city, state, zip, dollar, pick, date, latitude, longitude, birthday, ccnumber, dollar, ccnumber, phone, email, sentence, paragraph
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The bounding boxes of "Robust Visual Tracking Based on Adaptive Extraction and Enhancement of Correlation Filter" tracker on the whole OTB-2015 dataset.
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This dataset contains the performance models, simulation and monitoring results, and analysis scripts that we used for our evaluation.
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Feature code is often scattered across a software system. Scattering is not necessarily bad if used with care, as witnessed by systems with highly scattered features that evolved successfully. Feature scattering, often realized with a pre-processor, circumvents limitations of programming languages and software architectures. Unfortunately, little is known about the principles governing scattering in large and long-living software systems.
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Feature code is often scattered across a software system. Scattering is not necessarily bad if used with care, as witnessed by systems with highly scattered features that evolved successfully. Feature scattering, often realized with a pre-processor, circumvents limitations of programming languages and software architectures. Unfortunately, little is known about the principles governing scattering in large and long-living software systems.
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This dataset contains the information about 305 shared web hosting providers, their uptime, response time, number of servers and sites for the period of the previous 3 months (08/14/2018 – 11/11/018).
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The Geomagnetic field can be used for classifying different landmark locations inside a big building.
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The data set provided source code in C on how to compute Collatz dynamics by automata in terms of residue classes. It also includes algorithms implemented by C codes that can output residue classes by inputting reduced dynamics. The formular for computing a residue class for a given reduced dynamics is as follows:
Function $Invrs(\cdot)$.
$Invrs: c \rightarrow rs$ takes as input \\
$c=O$ or \\
$c=I^{p_1}O^{q_1}I^{p_2}O^{q_2}...I^{p_n}O^{q_n} \in \{I,O\}^{\geq 2},$ $p_i,q_i\in \mathbb{N}^*, i=1,2,...,n, n \in \mathbb{N}^*$\\
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