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6 results for “ESEM”

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zenodo36/100

Energy Consumption of IO APIS (ESEM'2019 paper)

<p>## About the experiments</p> <p>### Acronyms used in the figures</p> <p>- BufferedReader (BR).<br> - LineNumberReader (LNR).<br> - CharArrayReader (CAR).<br> - PushbackReader (PBR).<br> - FileReader (FR).<br> - FileInputStream (FIS).<br> - BufferedInputStream (BIS).<br> - StringReader (SR).<br> - PushbackInputStream (PBIS).<br> - StringBufferInputStream (SBIS).<br> - ByteArrayInputStream (BAIS).<br> - LineNumberInputStream (LNIS).<br> - Scanner (SCN).<br> - O m&eacute;todo readAllLines da classe Files, e um Stream de String (RFAL).<br> - O m&eacute;todo lines da classe Files, e um Stream de String (RFL).<br> - O m&eacute;todo newBufferedReader da classe Files, e um Stream de String (BRFL)<br> - BufferedWriter (BW).<br> - FileWriter (FW).<br> - StringWriter (SW).<br> - PrintWriter (PW).<br> - CharArrayWriter (CAW).<br> - FileOutputStream (FOS).<br> - ByteArrayOutputStream (BAOS).<br> - BufferedOutputStream (BOS).<br> - PrintStream (POS).</p> <p>### Settings</p> <p>For each setting, we experimented with three files of different sizes: 1 Mb, 10 Mb e 20 Mb.</p> <p>The experiments were ran in the following machine</p> <p>- Hardware: Intel&reg; Core&trade; i7-2670QM CPU @ 2.20GHz, with 4 processors, 16GB DDR3 1600MHz, Ubuntu 16.04 LTS (kernel 4.4.0-112-generic).<br> - Java: Java(TM) SE Runtime Environment, version 1.8.0-151</p>

opencc-by-4.0Dec 2018View details →
zenodo36/100

Soft skills found in job adverts in Cyprus from ESEM 2024 paper (analysis results)

<p>This dataset contains results from the analysis on Soft skills requested in the software industry found in job adverts in Cyprus collected in early 2023 and early 2024.</p> <p>The dataset contains the following:</p> <ul> <li>Soft skills found in all job adverts</li> <li>Soft skills differences between 2023 and 2024 job adverts</li> <li>Job positions categories in the job adverts</li> <li>Soft skills per job position category</li> <li>Soft skills per company size</li> </ul> <p>The relevant publication has been accepted in the 18th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM 2024 - <a href="https://conf.researchr.org/track/esem-2024/esem-2024-technical-track#event-overview">https://conf.researchr.org/track/esem-2024/esem-2024-technical-track#event-overview</a>):</p> <p><em>Georgia Kapitsaki, Loukas Chatzivasili, Maria Papoutsoglou, Matthias Galster, "An Exploratory Study on Soft Skills present in Software Positions in Cyprus: a quasi-Replication Study", ESEM 2024.</em></p>

opencc-by-4.0Aug 2024View details →
zenodo32/100

FIGURES 5–8. ESEM, clypeus. 5, Physotarsus concavus n in A revision of Physotarsus Townes (Hymenoptera: Ichneumonidae: Ctenopelmatinae), with description of 18 new species

FIGURES 5–8. ESEM, clypeus. 5, Physotarsus concavus n. sp., 6, P. luteus n. sp., 7, P. claviger n. sp., 8, Scolobates auriculatus.

opennotspecifiedDec 2009View details →
zenodo32/100

Can ChatGPT emulate humans in software engineering surveys? - ESEM '24

<p>This is the replication package for the paper "Can ChatGPT emulate humans in software engineering surveys?" submitted to the Vision and Reflections track at ESEM '2024.</p>

opencc-by-4.0Sep 2024View details →
zenodo32/100

RELAX ESEM 2021 DR User Study Survey Results Shared Document

<p>Dataset referenced in the ESEM 2021 paper titled &quot;Study of the Utility of Text Classification Based SoftwareArchitecture Recovery Method RELAX for Maintenance&quot;</p>

opencc-by-4.0Aug 2021View details →
zenodo28/100

Characterizing Energy Consumption of Third-Party API Libraries using API Utilization Profiles (ESEM'2020 Dataset)

<p><strong>Motivation</strong></p> <p>This repository contains the data-set used as a basis for our ESEM&#39;2020 paper&nbsp;<em>Characterizing Energy Consumption of Third-Party API Libraries using API Utilization Profiles</em>&nbsp;The dataset is comprised of 2 test scenarios: The first one is based on the paper from Rocha et al. (2019), the second one is based on the commonly known Google Gson library.</p> <p><strong>Description of the dataset</strong></p> <p>The dataset is stored in a file&nbsp;*.csv&nbsp;and contains the following data:</p> <ul> <li>id&nbsp;- an individual identifier</li> <li>name&nbsp;- the name of the library examined</li> <li>className&nbsp;- the class name as an abbreviation</li> <li>method&nbsp;- the name of the executed method</li> <li>duration&nbsp;- duration of method execution</li> <li>energyConsumption&nbsp;- computed energy consumption</li> <li>watts&nbsp;- recorded wattage</li> <li>uApi&nbsp;- the computed uAPI profile value</li> </ul> <p>Besides the data, this repository also contains the result images from the ESEM&#39;2020 paper in&nbsp;pdf-file format.</p> <p><em><strong>Android I/O Experiment</strong></em></p> <p>For the Android I/O Experiment we examined the correlation between API utilization and energy consumption. For the dataset, we took inspiration from Rocha et al. (2019). The dataset uses abbreviations for the examined classes which are further described in the <em>readme.md</em> file</p> <ul> <li>Filename:&nbsp;io_test_052020.csv</li> </ul> <p><em><strong>Google Gson Experiment</strong></em></p> <p>The Google Gson dataset contains recordings for Google Gson version 2.8.5. Again, the dataset was used as a foundation for examining the correlation between the computed API profiles and energy consumption.</p> <ul> <li>Filename:&nbsp;gson_test_052020.csv</li> </ul> <p><strong>License</strong></p> <p>Creative Commons CC-BY</p>

opencc-by-4.0Jul 2020View details →

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