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199 results for “software studies”
Supplementary material of the study "Flying over Brazilian Organizations with Zeppelin: A Preliminary Panoramic Picture of Continuous Software Engineering"
<p><strong>Supplementary Material</strong></p> <p><em>Context</em>: Software organizations have faced several challenges, such as the need for faster deliveries, frequent changes in requirements, lower tolerance to failures and the need to adapt to contemporary business models. Agile practices have allowed organizations to shorten development cycles and increase customer collaboration. However, this has not been enough. Organizations should evolve to continuous and data-driven development in a continuous software engineering approach. Continuous Software Engineering (CSE) consists of a set of practices and tools that support a holistic view of software development with the purpose of making it faster, iterative, integrated, continuous and aligned with business. Implementing CSE requires changes in the organization’s culture, practices and structure, which may not be easy. <em>Objective</em>: We aim to provide a preliminary picture of CSE adoption in Brazilian software organizations. <em>Method</em>: We adapted and used Zeppelin, a diagnostic instrument of CSE adoption based on the Stairway to Heaven Model (StH), to perform a survey with 28 Brazilian organizations aiming at investigating the adoption of CSE practices. <em>Results</em>: The results indicate that organizations have better addressed agile and continuous deployment practices than the ones related to continuous integration and continuous experimentation, but this scenario changes a bit depending on the organization type. The results also show that CSE adoption has been heterogeneous, but there are patterns in the adoption of some practices. <em>Conclusion</em>: Although the StH model proposes a sequential and evolutionary path for CSE adoption, organizations have not always followed that path systematically. There are indeed CSE practices that depend on others and thus contribute to sequential implementation. However, organizations tend to adopt the practices gradually, covering different stages, and evolving according to the organization needs.</p> <p>This package contains supplementary material of the study performed to investigate the adoption of CSE practices in Brazilian organizations. It contains:</p> <ul> <li>The questionnaire used to collect data (Google Forms format) – in Portuguese only (available at https://forms.gle/oWpiQ1VJ8oywj4sXA)</li> <li>The questionnaire used to collect data (pdf format) </li> <li>A spreadsheet containing raw data, some tables and graphs</li> <li>Python Notebook files for showing exploratory analysis (using Spearman Coefficient) </li> </ul> <p>Please cite: Paulo Sérgio dos Santos Júnior, Monalessa P. Barcellos, Fabiano B. Ruy, and Moisés S. Omêna. 2022. Flying over Brazilian Organizations with Zeppelin: A Preliminary Panoramic Picture of Continuous Software Engineering. In 36th Brazilian Symposium on Software Engineering (SBES ’22), October 21–23, 2022, Uberlândia, Brazil.</p> <p> </p>
Dataset for an analysis of selected studies on software development and reuse in the field of software documentation
<p>The data record contains bibliographical metadata from 2012 to 2023, which have been extracted from the databases ScienceDirect, SpringerLink and IEEE Xplore. It was created in the context of a master thesis which will be published later. The aim was to make a selection of studies on software documentation from the perspective of software development based on the master thesis.</p>
Supplementary materials of the paper entitled: "Metamorphic Testing Meets Regression Testing: A Case Study of Scientific Software Maintenance"
<p>Supplementary materials of the paper entitled:</p> <p>“Metamorphic Testing Meets Regression Testing: A Case Study of Scientific Software Maintenance”</p> <p>file01 - source code for detecting and comparing output relations of a given metamorphic relation<br> file02 - interview transcripts and qualitative coding results<br> file03 - system script for compiling SWMM, creating sSWMM simulation outputs, and logging execution time<br> file04 - source code for SWMM 5.1.014<br> file05 - source code for SWMM 5.1.015<br> file06 - a suite of 40 regression tests (40 .inp files)<br> file07 - result table for 760 cases (19 MRs × 40 .inp files)<br> file08 - 491 automatically generated follow-up .inp files via reuse<br> file09 - result table for mutation analysis<br> file10 - output files for mutation analysis with metamorphic testing:<br> a. Original source output<br> b. Original follow-up output<br> c. Mutant source output<br> d. Mutant follow-up output</p>
Artifact for ESEC/FSE Paper: "23 Shades of Self-Admitted Technical Debt: An Empirical Study on Machine Learning Software"
<p>Artifact for ESEC/FSE paper entitled "23 Shades of Self-Admitted Technical Debt: An Empirical Study on Machine Learning Software"</p>
Cloud computing is one of the most popular and sophisticated technologies adopted by organizations worldwide. Some world-leading organizations enhance their efficiency and effectiveness by using cloud computing technology. Working from home (WFH) has been a popular trend among organizations during the coronavirus (COVID-19) pandemic. The COVID-19 saw a breakthrough in work cultures and environments where working from home was a remarkable success in remote working environments, despite being a rare phenomenon in Sri Lanka. Yet, it is argued that the deployment of work from home has not been effective among Sri Lankan business organizations due to a lack of IT infrastructure, facilities, and knowledge. The purpose of the study is to investigate the impact of cloud computing, embracing the service models (Infrastructure as a Service, Platform as a Service, and Software as a Service) as theoretical lenses and testing the COVID-19 as the moderator. The study has been conducted based on a deductive approach and adopted a stratified random sampling method. The sample consisted of 384 IT employees among those who had experienced working from home. The study utilized multiple regression and found that cloud computing service models significantly impact work from home with the moderating effect of COVID-19.
<p>Cloud computing is one of the most popular and sophisticated technologies adopted by organizations worldwide. Some world-leading organizations enhance their efficiency and effectiveness by using cloud computing technology. Working from home (WFH) has been a popular trend among organizations during the coronavirus (COVID-19) pandemic. The COVID-19 saw a breakthrough in work cultures and environments where working from home was a remarkable success in remote working environments, despite being a rare phenomenon in Sri Lanka. Yet, it is argued that the deployment of work from home has not been effective among Sri Lankan business organizations due to a lack of IT infrastructure, facilities, and knowledge. The purpose of the study is to investigate the impact of cloud computing, embracing the service models (Infrastructure as a Service, Platform as a Service, and Software as a Service) as theoretical lenses and testing the COVID-19 as the moderator. The study has been conducted based on a deductive approach and adopted a stratified random sampling method. The sample consisted of 384 IT employees among those who had experienced working from home. The study utilized multiple regression and found that cloud computing service models significantly impact work from home with the moderating effect of COVID-19.</p>
An empirical study on the influence of developers' experience on software test code quality
<p>Software developers' engagement in open-source software projects lies in different levels of participation, e.g., core or peripheral developers. Recent studies have investigated the role of developers' contributions and their influence on software quality. However, few studies investigate the relationship between the developers' experience and test code quality in software projects. In this study, we aim to investigate the relationship between the developers' experience and the test code quality from the perspective of test smells. We performed an empirical study to analyze the insertion and removal of test smells in four open-source Java projects. We collected 18 test smells and calculated their authorship through the projects' Tags. The four software projects contain 386 test classes and 5,178 test smells. We found out that the insertion of 67.28\% of test smells occurs during the test class creation, and the removal of 20.88\% of test smells occurs during the evolution of projects. In addition, core developers are responsible for inserting 88.91\% and removing 89.82\% test smells. Core developers insert and remove more test smells than the peripheral developers. Most test smell removal is due to test code deletion, which may indicate that both core and peripheral developers are unaware of test smells in test code.</p>
Supplementary Material - Systematic Mapping Study - Information and Software Technology
<p>Supplementary material - Article title: "Constructing the graphical structure of expert-based Bayesian networks in the context of software engineering: A systematic mapping study" - Information and Software Technology. This file contains the detailed procedure employed in the systematic mapping.</p>
Dataset about Reproducibility in Software Engineering Research: A Systematic Mapping Study
<p>This artifact contains the results collected in one Systematic Mapping Study (SMS), about Reproducibility in Software Engineering Research. The results are associated with the selected studies and with the research questions considered.</p>
Software Deployment on Heterogeneous Platforms: A Systematic Mapping Study
<p>Complete dataset of the study</p>
Assessing the Resilience of Software Systems by Application of Chaos Engineering - A Case Study
<p>This repo contains all supplementary data sets that I have created and used throughout my bachelor's thesis. In particular, it contains<br> - JMeter configuration file<br> - CSV files of measured JMeter runs<br> - Chaos Experiments declared in JSON<br> - Created boxplots and ecdf plots based on the CSV files<br> - Kubernetes deployments<br> - Bash scripts <br> </p>
A Systematic Mapping Study on Software Product Line Experiments
<p>Available data regarding a A Systematic Mapping Study on Software Product Line Experiments</p>
A Systematic Mapping Study on Student Reflection in Software Engineering Project-Based Learning (supplementary material)
<p>This repository contains supplementary material for the manuscript "A Systematic Mapping Study on Student Reflection in Software Engineering Project-Based Learning". The CSV file is structured as follows:</p> <ul> <li>Column A represents the paper citation key generated by Zotero that we used as a unique identifier for all papers in this study.</li> <li>Columns B-I include the results of our data extraction as per the data extraction form.</li> <li>Columns J-AB include metadata about each paper.</li> </ul>
Which RESTful API Design Rules are Important and How Do They Improve Software Quality? A Delphi Study with Industry Experts
<p>The dataset of a Delphi study with 8 industry experts who reached consensus on the perceived importance and positive software quality impact of 82 RESTful API design rules from the catalogue by Mark Massé ("REST API Design Rulebook", O’Reilly Media, 2011). The replication package contains:</p> <ul> <li><strong>rules.csv:</strong> the final consensus results for the 82 rules in CSV format</li> <li><strong>rule-importance.xlsx</strong>: the detailed results and analysis for rule importance as an Excel spreadsheet</li> <li><strong>rule-sw-quality-impact.xlsx</strong>: the detailed results and analysis for rule impact on software quality as an Excel spreadsheet</li> </ul> <p>In this version, we updated the final numbers for the software quality mapping with the results from the synchronous meeting.</p>
Quality and Trackability of Author Indicated Software Citations (NEST Case Study)
<p>This dataset contains a randomly selected minimal sample of 471 NEST software citations, which were provided by authors and published on the NEST software page as a publication list. The software citations were analyzed on their quality and trackability.</p> <p>The data was collected in 2020 for a PhD thesis on research data and software (re)use indications in scholarly works.</p>
Replication Package for the Paper: Understanding Software Architecture Erosion: A Systematic Mapping Study
<p>This is the replication package for the paper: "Understanding Software Architecture Erosion: A Systematic Mapping Study". It contains five files as described below:</p> <p><strong>1. List of the Selected Studies_SMS.xlsx</strong><br> includes the detailed information of the 73 selected studies.</p> <p><strong>2. Data Extraction.xlsx</strong><br> includes the extracted data based on the data items (i.e., D1-D16).</p> <p><strong>3. Sample of Study Selection.xlsx</strong><br> includes the 100 randomly selected papers from the search results and the results of each round selection.</p> <p><strong>4. Pilot Data Extraction.xlsx</strong><br> includes the pilot data extraction results from five papers.</p> <p><strong>5. Sample of Data Extraction.xlsx</strong><br> includes the data extraction results from another randomly selected five papers.</p>
Supplemental package of a study on the impacts of Covid-19 on software startups and established companies
<p>This package presents the data obtained in a study on the impact of COVID-19 restrictions to software startups and established companies. It contains the questionnaire used to collect data, the answers obtained and a Jupyter notebook containing the analysis performed.</p>
An Empirical Study to Evaluate the Impact of Mindfulness at a Software Company (Laboratory Package)
<p>For the empirical study carried out in an Andalusian software company to evaluate the effects of the practise of mindfulness, this laboratory package contains the experimental material used during its execution, the data sets (both "csv" and "sav" files) derived from the experimental tasks, and the results of the statistical analysis (both scripts and plots).</p>
Supplemental package of a study on the use of qualitative surveys in software engineering researchers
<p>This package contains the list of analyzed papers in a meta-study on the use of qualitative surveys in software engineering research. It contains all the files obtained in queries to scientific databases, and the list of analyzed papers containing how they were classified according to the aspects analyzed.</p>
1. Files containing data from each sample studied and ready to be open in Thellier Tool 4.0 software (Leonardt et al., 2004) for evaluation and determination of archaeointensity and archaeoinclination.
<p>Files containing data from each sample studied and ready to be open in Thellier Tool 4.0 software (Leonardt et al., 2004) for evaluation and determination of archaeointensity and archaeoinclination.</p> <p>Data supporting manuscript entitled “Archaeomagnetic studies of bricks from ancient buildings sampled in SE Poland (Central Europe)” by J. Nawrocki, K. Standzikowski, M. Chadima, T. Werner, M. Łanczont, J. Gancarski, Z. Gil submitted to Journal of Archaeological Science: Reports (JASREP-D-23-00078).</p>
Reproduction package for "Revisiting the reproducibility of empirical software engineering studies based on data retrieved from development repositories"
<p>Reproduction package for "Revisiting the reproducibility of empirical software engineering studies based on data retrieved from development repositories", published in Information and Software Technology, Volume 164, December 2023. DOI: <a title="Persistent link using digital object identifier" href="https://doi.org/10.1016/j.infsof.2023.107318" target="_blank" rel="noreferrer noopener"><span><span>https://doi.org/10.1016/j.infsof.2023.107318</span></span></a></p>
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
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.