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192 results for “software engineering”
Supporting Software Engineers in IT Security and Privacy through Automated Knowledge Discovery - Dataset
<h1>Supporting Software Engineers in IT Security and Privacy through Automated Knowledge Discovery - Dataset</h1> <h2> </h2> <h2>Dataset corresponding to <a href="https://doi.org/10.1145/3672608.3707798">https://doi.org/10.1145/3672608.3707798</a></h2> <div>This is the dataset corresponding to <a href="https://doi.org/10.1145/3672608.3707798">https://doi.org/10.1145/3672608.3707798</a> "Supporting Software Engineers in IT Security and Privacy through Automated Knowledge Discovery" with the goal of providing a systematic method to discover state-of-the-art security knowledge, focused on threats, measures, and properties from science and project literature with minimal manual effort, and providing software engineers with the awareness and means they need to apply the knowledge to their projects.</div> <p> </p> <h2>Structure of the files</h2> <div>The dataset contains the extraction prompt, the extraction results, and metadata.</div> <div>- <strong>ACM_IEEE_EU_Results.zip</strong> is an archive file with the metadata and extraction results with the following folder structure: </div> <div> - <strong>Meta/ </strong>contains the DOI, title, publication date, and pages (omitted for IEEE since it may contain intellectual property).</div> <div> - <strong>Extract/</strong> contains extraction results generated by the LLM in response to the extraction_prompt.txt file.</div> <div> - <strong>ExtractMeta/</strong> contains the metadata for the extraction, such as execution time.</div> <div>- <strong>extraction_prompt.txt</strong> is the prompt used to extract information from the science and project publications.</div>
Social Science Theories in Software Engineering Research - Replication Package
<p>Replication package for the article "Social Science Theories in Software Engineering Research".</p> <p>See README file for additional details.</p>
Exploring Gender Bias in Remote Pair Programming among Software Engineering Students: The Twincode Original Study and First External Replication (datasets)
<p>This repository contains the datasets of the original experiment (University of Seville, December 2021) and its first external replication (University of California, Berkeley, May 2022) of the Twincode exploratory study on the effects of gender bias in remote pair programming among software engineering students.</p>
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: <em>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.</em></p>
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>
Leveraging Diversity in Software Engineering Education through Community Engaged Learning and a Supportive Network
<p>This replication package contains the schedule for the first cohort of our program described in the paper titled "Leveraging Diversity in Software Engineering Education through Community Engaged Learning and a Supportive Network".</p>
On a Microservice System Benchmark with Multiple Architected Variants for Software Engineering Research
Open the record for dataset details and reuse information.
Supplementary Material - Uncovering the Effects of Quantum Computing on Software Engineering: A Systematic Mapping
<p>This is the supplementary material regarding: “On the Influence of Quantum Computing on Software Engineering: A Systematic Mapping”, the idea being to make it possible to reproduce the methodology applied in the Systematic Mapping (SM) used in the study. It consists of:</p> <ul> <li>Spreadsheet with the data of the papers selected in each step of the filtering phase of the SM development</li> <li>Fluxogram detailing the Methodology of the SM step-by-step<strong></strong></li> </ul> <h3><strong>Objectives</strong></h3> <p>The main objective of the SM was to provide a detailed analysis on how quantum computing has affected four software engineering topics: Software Testing and Quality; Software Reengineering/Modernization; Software Modeling and Software Processes and Development Platforms</p> <p>Based on the results of such Mapping, four research questions were defined realted to the quantum software engineering topic:</p> <ul> <li> <p>RQ1: <span>How has QC impacted software testing and qual</span><span>ity? This RQ aims to identify proposed methods for </span><span>testing quantum software and topics related to quantum </span><span>metrics and bugs.</span></p> </li> <li> <p>RQ2: How has QC influenced software reengineering and modernization practices? This study seeks to analyze the treatment of reverse engineering and refactorings within this context.</p> </li> <li> <p>RQ3: How is quantum software modeled? This research aims to investigate the impact of QC on modeling languages and the granularity level used.</p> </li> <li> <p>RQ4: How have development processes and platforms been shaped by QC? The goal is to assess the current maturity of processes and platforms for QC.</p> </li> </ul> <h3><strong>Preparation</strong></h3> <p>In this part we outline the resources, digital libraries, the search string and inclusion and exclusion criteria used in this SM on the influence of quantum computing on software engineering.</p> <p>The platform used to manage the articles and define the search string and inclusion and exclusion criteria was Parsifal. In this process articles were sourced from : ACM Digital; IEEE Digital Library; Science Direct and Scopus.</p> <p>A search string was employed in each digital library, adapted to the syntax of each of them, while encompassing the time frame from 01/2018 to 06/2023, with the Base Search String being:</p> <p><strong>(“Software Model” OR “Software Engineering” OR “Software Development” OR “Software Lifecycle” OR “Software Development Methodologies” OR “Software Project Management” OR “Testing” OR “Design Pattern” OR “Reengineering” OR “Reverse Engineering” OR “Metrics” OR “Service-Oriented”) AND (“Quantum Software” OR “Quantum Programming” OR “Quantum Computing” OR “Quantum Software Development” OR “Quantum Subroutine” OR “Quantum Program”)</strong></p> <p>Where the upper part includes terms related to software engineering and the lower part covers the quantum terms.</p> <p>Another important task was to define inclusion and exclusion criteria for filtering the studies, being them:</p> <p><strong>Inclusion Criteria</strong></p> <ul> <li> <p>The study is published in English.</p> </li> <li> <p>The content of the study is related to the topic being analyzed.</p> </li> </ul> <p><strong><strong>Exclusion Criteria</strong></strong></p> <ul> <li> <p>The study is not available</p> </li> <li> <p>The study is duplicated</p> </li> <li> <p>The study is not primary study (surveys, systematic reviews/mappings, talks, proceedings, etc)</p> </li> <li> <p>The content of the study is not related to the theme or it is too superficial.</p> </li> <li> <p>The content of the study was updated in a next more-complete version. When the authors published a new and more complete version of the same content, we remove the previous paper.</p> </li> </ul> <h3><strong>Conduction</strong></h3> <p>During the conduction of the papers filtering process there were four stages to which the set of papers were applied to until reaching the final set:</p> <ul> <li> <p>First stage: Removal of every paper that was duplicated, leaving only one instance of each paper.</p> </li> <li> <p>Second stage: Removal of papers that are not a primary study.</p> </li> <li> <p>Third stage: Removal of papers which keywords, title and abstract are not related to the topics of the Systematic Mapping;</p> </li> <li> <p>Fourth stage: Removal of papers whose content is not related to the topics of the Systematic Mapping.</p> </li> </ul>
Agile Social Software Engineer: An Empirical Approach to Mitigate and Manage Social Debts in Agile Environments
<p>Replication package description:<br> "DataCollection.xlsx": Survey responses from Agile teams in weeks 1, 2, 3, 4 and 5.<br> <br> "DataAnalysis.xlsx": Analysis of the answers from the survey to answer the research questions proposed in this work.<br> Team-working issues that could lead to community smells can be found in TeamworkingIssues Tab.<br> The root causes of community smells in agile teams over weeks can be found in Rootcauses Tab.<br> Requests for Agile social guardian intervention can be found in Requestagileteams Tab.<br> Recurring needs and concerns in agile teams can be found in Needs_Concerns Tab.</p>
Agile Minds, Innovative Solutions, and Industry–Academia Collaboration: Lean R&D Meets Problem-based Learning in Software Engineering Education
<p>Supplementary materials of the paper "Agile Minds, Innovative Solutions, and Industry–Academia Collaboration: Lean R&D Meets Problem-based Learning in Software Engineering Education"</p>
Harmonising Contributions: Exploring Diversity in Software Engineering through CQA Mining on Stack Overflow – Replication Package
<p>Community question-and-answering platforms dedicated to software engineering, such as Stack Overflow, have assumed indispensable roles in fostering a thriving global knowledge ecosystem. As these platforms suffer from diversity-related issues, investigating the underlying reasons behind such challenges becomes imperative to devise potential intervention strategies.</p> <p>The proposed study highlights Stack Overflow users’ contribution profiles, both in isolation and relative to various diversity metrics, including GDP and access to electricity. Finally, the study explores whether these contribution profiles extend to the city and state levels.</p> <p>This replication package complements our study, prompting future scholars to further examine our research process or conduct follow up analyses.</p>
Replication Package: Navigating the Complexity of Generative AI Adoption in Software Engineering
<p>This paper explores the adoption of Generative Artificial Intelligence (AI) tools and Large Language Models (LLMs) within the domain of software engineering, focusing on the influencing factors at the individual, technological, and social levels. We applied a convergent mixed-methods approach to offer a comprehensive understanding of AI adoption dynamics. We initially conducted a structured interview study with 100 software engineers, drawing upon the Technology Acceptance Model (TAM), the Diffusion of Innovations theory (DOI), and the Social Cognitive Theory (SCT) as guiding theoretical frameworks. Employing the Gioia Methodology, we derived a preliminary theoretical model of AI adoption in software: the Human-AI Collaboration and Adaptation Framework (HACAF). This model was then validated using Partial Least Squares – Structural Equation Modeling (PLS-SEM) based on data from 183 software professionals. Our research unveils the complex dynamics at play in AI adoption within software engineering. Findings indicate that at this early stage of AI integration, the compatibility of AI tools within existing development workflows predominantly drives their adoption, challenging conventional technology acceptance theories. The impact of perceived usefulness, social factors, and personal innovativeness seems less pronounced than expected. The study provides crucial insights for future AI tool design and offers a framework for developing effective organizational implementation strategies.</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>
Artifacts of the Article: "Guidelines for Using Financial Incentives in Software-Engineering Experimentation"
Open the record for dataset details and reuse information.
Supplementary Material - Active Learning in Software Engineering A Rapid Review
<p>Supplementary Material for paper Active Learning in Software Engineering: A Rapid Review presented in CLEI 2024. The spreadsheet contains the studies considered for the Rapid Review.<br><br></p>
Gamification of Student Development Projects in Software Engineering Education - Master's Thesis Dataset
<p>This dataset contains all questionnaire results of the Master's Thesis <em>Gamification of Student Development Projects in Software Engineering Education</em>. The thesis will be linked to this set as soon as it is completed and publically available.</p> <p>In total, five questionnaires were conducted. To analyze users and requirements, a questionnaire with students and project supervisors was conducted. The implemented tool was evaluated using a pre-, mid-, and post-study questionnaire. This dataset contains a folder for each questionnaire including results in CSV format, results in HTML format, which is more human readable, and the questionnaire in PDF format. Due to the used survey tool, <em>lamapoll</em>, some parts of the files are in German. However, the questions and responses are all in English.</p> <p>Additionally, the scripts folder contains the Python scripts that were used to produce the graphics of the thesis. The Python libraries <code>matplotlib</code>, <code>pandas</code>, <code>scipy</code>, <code>numpy</code>, and <code>plot_likert</code> are required to run the scripts. Some of them use the two provided files <code>evalutation_concat_raw_excel.csv</code>, which is a concatenation of the results of the three evaluation questionnaires, and <code>sprint_stats.csv</code>, which contains statistics of the sprints relevant to the user study.</p>
A project-based learning approach for enhancing learning skills and motivation in software engineering
<p>Supplementary material for: <strong>A project-based learning approach for enhancing learning skills and motivation in software engineering</strong></p> <ul> <li><strong>DTSIPBLData.txt</strong>- Data set</li> <li><strong>ScriptRPBL.R:</strong> R Script tp perform the analysis of data.</li> <li><strong>Supplementary material- R Script.docx</strong>: Documented R Script</li> </ul>
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 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>
Enhancing Women's Experiences in Software Engineering
<p><strong>Context: </strong>Women face many challenges in their lives, including harassment, lack of acceptance, and excessive workloads. These challenges affect their daily experiences and influence major life decisions, such as pursuing a career in IT. These issues further diminish the already low participation of women in the industry, making the field less appealing to potential newcomers. The challenges often begin before women even enroll in bachelor's programs, setting a difficult path for those aspiring to enter the software development industry.<br><strong>Goal: </strong>To investigate challenges women face in IT at different stages of their lives—specifically, during their last year of high school, while they are at University pursuing their bachelor's degree, and as practitioners. Furthermore, we aim to explore solutions to address these identified challenges.<br><strong>Research Method: </strong>To achieve this goal, we conducted a literature review using the snowballing technique to identify challenges and solutions already reported in the literature. The literature review results were used as input for workshops, in which we sought to understand the perspectives of high school women, undergraduates, and practitioners regarding the same set of challenges and solutions identified in the literature.<br><strong>Results:</strong> Our studies revealed that, regardless of the life stage, women feel discouraged in a toxic environment often characterized by a lack of inclusion, harassment, and the exhausting need to prove themselves. We also discovered that some challenges are specific to certain life stages; for example, issues related to maternity were mentioned only by practitioners.<br><strong>Conclusions: </strong>Women encounter gender-related challenges even before deciding to enter the software development field when the proportion of men and women is still similar. While issues such as feeling the need to prove themselves are mentioned at all three stages, high school women's challenges are more often directed toward convincing their parents that they are mature enough to handle their own responsibilities. As women move to the other stages, the challenge shifts to proving their competence in managing responsibilities for which they have received training. Increasing the inclusion of women in the field should, therefore, start earlier, and profound societal changes may be necessary to boost women's participation in the field. </p>
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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.