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6 results for “ESEM”
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 método readAllLines da classe Files, e um Stream de String (RFAL).<br> - O método lines da classe Files, e um Stream de String (RFL).<br> - O método 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® Core™ 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>
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>
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.
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>
RELAX ESEM 2021 DR User Study Survey Results Shared Document
<p>Dataset referenced in the ESEM 2021 paper titled "Study of the Utility of Text Classification Based SoftwareArchitecture Recovery Method RELAX for Maintenance"</p>
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'2020 paper <em>Characterizing Energy Consumption of Third-Party API Libraries using API Utilization Profiles</em> 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 *.csv and contains the following data:</p> <ul> <li>id - an individual identifier</li> <li>name - the name of the library examined</li> <li>className - the class name as an abbreviation</li> <li>method - the name of the executed method</li> <li>duration - duration of method execution</li> <li>energyConsumption - computed energy consumption</li> <li>watts - recorded wattage</li> <li>uApi - the computed uAPI profile value</li> </ul> <p>Besides the data, this repository also contains the result images from the ESEM'2020 paper in 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: 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: gson_test_052020.csv</li> </ul> <p><strong>License</strong></p> <p>Creative Commons CC-BY</p>
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
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DANDI Archive for NWB datasets
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International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.