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6,782 results for “project”
Refactoring Code Smells in Open Source Projects: A Hands-on Approach to Teaching Software Maintenance
<p>Code smells are suboptimal code structures that can undermine software quality and maintainability. On the one hand, software engineers commonly apply refactoring techniques to address these deficiencies and improve internal quality attributes. On the other hand, when performed manually and without discipline, refactoring can lead to code degradation. Despite its importance, refactoring and code smells are rarely explored in depth in undergraduate computing courses, which can be reflected in industry practices. To address this gap, this paper presents a hands-on approach to teaching code smell refactoring through contributions to Open Source Software (OSS) projects, an environment where developers with diverse skill levels collaborate, and maintaining code quality is particularly challenging. Code smells accumulate over time in such scenarios, hindering software evolution and collaboration. Our study in two undergraduate Software Quality and Software Maintenance courses expands on previous findings by incorporating an in-depth analysis of students’ learning experiences. The results indicate that: (i) students rec- ognized improvements in code quality after refactoring; (ii) they identified strong connections between refactoring, testing, and debugging; (iii) their confidence decreased when refactoring required changes across multiple files; (iv) code complexity posed a significant challenge to refactoring; (v) students’ choices of refactoring techniques were influenced by project structure and personal preferences, often combining multiple techniques to address a single smell; (vi) in some cases, refactoring introduced new code smells; (vii) the longest refactoring efforts were also the most likely to reintroduce code smells; (viii) contributing to OSS projects improved students’ programming skills and fostered a sense of professional growth; (ix) students faced challenges in understanding OSS contribution processes, particularly regarding issue resolution, adherence to contribution guidelines, and responding to maintainer feedback; (x) automated checks and review workflows varied across projects, affecting students’ ability to submit successful contributions; and (xi) despite these challenges, engagement with OSS enabled students to gain practical experience in collaborative software development. Our findings offer valuable insights for software engineering educators seeking to integrate refactoring practices into coursework while leveraging OSS contributions as an educational tool.</p>
Archi Dataset: a dataset of software engineering projects
<p>A dataset composed of 8 software engineering projects collected (and refined) from the Software Engineering – Laboratory of Advanced Programming” course at Sapienza University of Rome for master students in Engineering in Computer Science.</p> <p>The dataset comprises folders for each project. Each folder contains:</p> <ul> <li><em>input.txt</em> file with the description of the system and the list of user stories,</li> <li><em>DataMetrics.json</em> with the performance characteristics of the project. An example of DataMetrics format is provided below.<br> <pre><code>[ { "set_id": 1, "set_name": "auth client", "user_stories": [1, 2, 3, 4], "links": [2, 3, 5], "db": "true" }, ... ]</code></pre> <p>The <em>json</em> is represented by an array of dictionaries, each relative to a set, characterized by a <em>set_id</em> and a <em>set_name</em>, grouping user stories (identified by their numerical identifier in <em>user_stories</em>). Each dictionary also contains <em>links</em> and <em>db</em> keys to indicate other sets that have a related context and the need for a backend service to store or retrieve data, respectively. From an architectural point of view, user stories that belong to linked sets can be fulfilled by the same container and the sets of user stories that are required to store or retrieve data must be fulfilled by a container hosting a database microservice.</p> </li> <li><em>Student_Doc.md</em> with the student (entire) documentation (solution) of the project,</li> <li><em>source</em> code of the developed project.</li> </ul> <p>The dataset is under continuous updating. Each academic year it will be enriched with new projects. </p> <p>If you want to contribute, please contact us.</p>
Online repository for Paper "AgentFL: Scaling LLM-based Fault Localization to Project-Level Context"
<h3>Summary</h3> <p>This is the online repository for the arXiv paper "AgentFL: Scaling LLM-based Fault Localization to Project-Level Context".</p> <p>We also provide the results for the TSE'25 paper "SOAPFL: A Standard Operating Procedure for LLM-based Method-Level Fault Localization".</p> <h3>Environment</h3> <ul> <li><a href="https://github.com/rjust/defects4j/tree/v1.4.0">Defects4J-V1.4.0</a> (Note that the buggy items in V1.4.0 is identical with V1.2.0, we use V1.4.0 to avoid some problems in V1.2.0)</li> <li><a href="https://github.com/rjust/defects4j/tree/v2.0.0">Defects4J-V2.0.0</a></li> <li>Python version >= 3.8.5</li> </ul> <h3>Defects4J Mod</h3> <p>Before running AgentFL, please apply the files under the <code>AgentFL/Defects4J_mod</code> directory to modify your Defects4J V1.4.0/V2.0.0.</p> <h3>Run AgentFL</h3> <p>Set your own OpenAI API key in <code>AgentFL/camel/model_backend.py</code></p> <p>It's easy to run AgentFL for localizing a bug with the following command:</p> <p><code>python3 run.py --config <CONFIG_DIR> --version <D4J_VERSION> --project <PROJECT> --bugID <BUG_ID> --model <GPT_MODEL_NAME></code></p> <p>For example:</p> <p><code>python3 run.py --config Default --version 1.4.0 --project Closure --bugID 26 --model GPT_3_5_TURBO</code></p> <p>More configs can be seen under the directory <code>AgentFL/Config</code></p> <h3>Results</h3> <p>We release all of the results of AgentFL in the <code>AgentFL/Results</code> directory, including the evaluation results on Defects4J V1.4.0/V2.0.0 and the ablation study result.</p> <p>For each bug, we record all of the prompts, responses, and intermediate outputs.</p> <blockquote> <p>NEW: We have released the newest results for TSE'25 paper "SOAPFL: A Standard Operating Procedure for LLM-based Method-Level Fault Localization". The results can be found in the `<a href="https://zenodo.org/api/records/16938304/draft/files/SoapFL_results.zip/content" target="_blank" rel="noopener noreferrer">SoapFL_results.zip</a>` file!</p> </blockquote> <h3>Human Evaluation Results</h3> <p>The human evaluation results can be found in the file <code>AgentFL/EvaluationResult/DebugResult_d4j140_GPT35_human.xlsx</code></p> <h3>System Messages for Agents</h3> <ul> <li>Test Code Reviewer:</li> </ul> <blockquote> <p>You are a Test Code Reviewer. We share a common interest in collaborating to successfully locate the buggy code that cause the test suite to fail. You can examine the test code and the initialized classes to analyze the similar behavior of the failed tests within the test suite. To locate the bug, you must write a response that appropriately solves the requested instruction based on your expertise.</p> </blockquote> <ul> <li>Source Code Reviewer</li> </ul> <blockquote> <p>You are a Source Code Reviewer. we are both working at DebugDev. We share a common interest in collaborating to successfully locate the buggy code that cause the test suite to fail. Your main responsibilities is to generate a comment for each covered method base on the method call relationship. To locate the bug, you must write a response that appropriately solves the requested instruction based on your expertise.</p> </blockquote> <ul> <li>Software Test Engineer</li> </ul> <blockquote> <p>You are a Software Test Engineer. We share a common interest in collaborating to successfully locate the buggy code that cause the test suite to fail. You main responsibilities include examining the information of the failed tests to analyze the possible causes of the test failures, and determining the method that need to be fixed. To locate the bug, you must write a response that appropriately solves the requested instruction based on your expertise.</p> </blockquote> <ul> <li>Software Architect</li> </ul> <blockquote> <p>You are a Software Architect. We share a common interest in collaborating to successfully locate the buggy code that cause the test suite to fail. You are very familiar with the architecture of the software, the functions of each class and method in the software. You main responsibilities include examining the given information to locate the possible buggy classes and buggy methods. To locate the bug, you must write a response that appropriately solves the requested instruction based on your expertise.</p> </blockquote>
Raw documents of data (eggshell project)
<p>Raw documents of data for eggshell project</p>
Combinational quantification of distinct neural projections from retrograde tracing
<p>This record contains the experimental cases with the following ids, used for data analysis of the paper. <br><br>SW190423-07<br>Sw190423-08<br>SW190423-09<br>SW190425-07<br>SW190425-08<br>SW190425-09<br>SW190425-10<br>SW190426-01<br>SW190426-02<br>SW190426-03<br>SW190816-01<br>SW190816-03</p>
EFFECT OF PROJECT PLANNING ON THE PERFORMANCE OF A ROAD CONSTRUCTION PROJECT: A CASE OF KICUKIRO CENTER-KAGARAMA-MUYANGE ROAD IMPLEMENTED BY NPD LTD IN KICUKIRO DISTRICT, RWANDA
<p><strong>ABSTRACT:</strong> The study investigated the project planning and performance of road construction project specifically the Kicukiro Center-Kagarama-Muyange Road in Rwanda. The study was guided by specific objectives which are to ascertain the effects of scope planning on performance of road construction projects; to determine the effect of resource planning on performance of road construction projects; to determine the effect of Risk planning on performance of road construction projects; and to examine the effect of stakeholders planning on performance of road construction projects. Descriptive and correlative research designs; and the mixed approach of qualitative and quantitative approaches were used. Targeted population was 237 persons. The study had 149 respondents as sample size. Data collection methods were documentary analysis; questionnaire; interview guide; and observations. Descriptive statistic method was used to analyze collected data specifically the frequencies, percentages, mean, and standard deviation. Correlation coefficient; and multiple linear Regression analysis models were adopted. The results showed that there is a positive and strong correlation between Project scope planning and Performance. The findings showed level of f-test model is 228.710 which is positive with p-value of 0.000b less than both standard significance levels of 0.05 and 0.01. The study retained alternative hypothesis stated that Ha1 stated that there is a significant effect of resource planning on performance of road construction project; Ha2 said that there are significant effects of scope planning on performance of road construction project; Ha3 stated that there are significant effects of Risk planning on performance of road construction project; and Ha4 said that there are significant effects of stakeholder's involvement on performance of construction projects of Kicukiro Center-Kagarama-Muyange. Kicukiro District. </p><p> </p><p><strong>Key words: </strong>project planning; performance; road construction project</p><p> </p>
USAID PEER Project 6-134 Madagascar: Community-based monitoring and management of Madagascar's National Park protected areas
<p>Data pertinent to USAID PEER Project 6-134 Madagascar.</p><p>Please see the following page for project info and updates:</p><p>https://sites.nationalacademies.org/PGA/PEER/PEERscience/PGA_181428</p>
Human Connectome Project (HCP) Intrahemispheric FC
Open the record for dataset details and reuse information.
Multilevel Interventions for Mental Health in SMEs and Public Workplaces - H-Work EU Project Dataset (Only for Partners)
<p>This Dataset includes data collected as part of the H-Work project, at timepoints T1-T7. It contains data from each timepoint per site in single files and merged Data from multiple sites and timepoints, for more information see info file.</p>
GEOLAB Project FROSPER: FROst heaving soils-Solar Panel foundations interaction in cold European Regions: an experimental study
<p>The objective of the proposed project is to investigate the<strong> resilience of solar panels foundations in cold climates</strong>. The efficiency of solar panels is overall better in cold climates, when the direct sunlight is available, due to the lower temperature-induced dispersion. For this reason, large solar fields tend to be installed in cold regions, such as northern Europe or Canada. A solar field with <i>e.g.</i>, 10 MW, requires a great number of solar panels (~6000) whose foundations are generally<strong> steel piles</strong> driven into the soil down to a depth of 2÷5 m below the ground surface. In the cold regions, the shallow layers of soil are periodically subjected to <strong>freezing thus to the frost-heaving phenomena</strong>. The latter can increase the <strong>risk of uplift failure mechanism of the pile foundation</strong> compromising the exercise of the entire solar panel row.</p><p>This project aims to investigate the interaction between saturated soils and solar panel foundations under frozen conditions in <strong>scaled centrifuge models</strong>. The steel piles will be at first driven into the saturated soil sample, then a set of the <strong>freezing-thawing cycles</strong> will be reproduced in the centrifuge. <strong>Possible practical interventions to reduce the soil frost-heaving effects</strong> will also be explored, as the use of protective insulating mantel at the ground surface all around the head of the pile.</p><p>This project will represent a breakthrough in the understanding of the solar panel foundations behaviour, allowing a deeper insight into possible uplift failure mechanisms. The motivation of the study lies in the reduction of the costs and in the resilience improvement of critical infrastructures for the generation of energy in the EU territories. </p>
Microbiota for STARD7 project
<p>Microbiota data.</p>
Cleansky2 STRONrCRAFT/IMACS/ICASSIO/PROTeCTED/UBBICK projects overview
<p>This video presents an overview of the research work performed by Safran Aerosystems in the frame of the Cleansky2 / Clean Aviation Joint Undertaking programme:</p><ul><li>STRONGrCRAFT project on fast rotorcraft platform focuses on low weight full equipped fuel tanks for new rotocraft</li><li>IMACS project on Large Passenger Aircraft Platform was dedicated to study the use of nitrogen generation to replace Halon Gas for cargo fire suppression.</li><li>UBBICK project on Large Passenger Aircraft Platform has the objective to propose novel aircraft systems architecture brought by the Utility Management System for Business Jet operations</li><li>PROTeCTED project on Large Passenger Aircraft Platform has offer Improved crew oxygen mask situation awareness and Enhanced oxygen autonomy during emergency events</li><li>ICASSIO project dedicated to Icing condition on System Platform has achieved a high level of compliance of performances with new regulatory rules for Supercooled Large Droplets (SLD) discrimination, Ice Accretion Rate measurement and Ice Crystals detection</li></ul>
The PERFECOAT Project – Bio-Based Ingredients for Paint and Coatings (Extented Version)
<p>Conventional paint contains many fossil-based ingredients. To mitigate the resulting effects of climate change, the PERFECOAT projects developed different bio-based ingredients like binders, pigments and functional nano materials to be tested in paint and coating formulations for wood and decorative applications. This video shows the objectives and achievements in an easy to understand visualized way. This is the extented version of the video including two interview sequences with PERFECOAT researchers. </p><p><a href="https://perfecoat-project.eu">https://perfecoat-project.eu</a></p>
Data accompanying "Fractional quantum Hall states with variational Projected Entangled-Pair States: a study of the bosonic Harper-Hofstadter model"
Open the record for dataset details and reuse information.
Dataset containing all action and intervention indicators (KPI) in Valencia Demo Site for the MAtchUP project.
<p>KPIs added for interventions I1A, I2A and I2B, from June 2023 till September 2023.</p>
Dataset containing all action and intervention indicators (KPI) in Valencia Demo Site for the MAtchUP project.
Open the record for dataset details and reuse information.
Video: The WaterProof Project – Converting CO₂ into Formic Acid Through Electrochemistry
<p><strong>The WaterProof Project</strong></p><p>Converting CO₂ through electrochemistry. WaterProof aims at closing the waste(water) carbon loop by creating a novel biorefinery concept converting CO₂ emissions from urban waste treatment facilities into valuable green consumer-products. The objective is a technology resulting in a GHG reduction based on CO₂ utilization, replacement of fossil feedstock and industrial electrification.</p><p>The WaterProof project aims at developing an electrochemical process that converts CO₂ emission captured from consumer waste incineration and wastewater treatment facilities into formic acid to be used in valuable green consumer products such as cleaning detergents and the tanning of fish leather apparel. Additional products of the electrochemical process are peroxides that can be applied to remove pharmaceuticals and pesticides from wastewater. Furthermore, formic acid is used for the generation of acidic deep eutectic solvents (ADES), that can be applied to recover precious metals from wastewater sludge and incineration ashes. As the electrochemical process uses renewable energy, it contributes to a clean water cycle with zero-emission.</p><p>WaterProof enables the closing of the waste(water) carbon loop and the shift from fossil to renewable carbon sources. It hereby supports the transition towards a climate-neutral Europe and an effective and truly circular economy.</p><p><a href="https://waterproof-project.eu">https://waterproof-project.eu</a></p>
SHIFT Project Video_Year 1
<p>This video introduces the main aims, ambitions, and use cases of the SHIFT project</p>
Project J6 - Planning for Urban Freight: Putting it into Practice
<p>This document accompanies the Southeastern Transportation Research, Innovation, Development, and Education Center (STRIDE) Report number J6: <i>Planning for Urban Freight: Putting it into Practice</i>. Fulfilment of the project requirements requires that the data used be made publicly available through the Zenodo platform. Since this report details dissemination efforts to planning practitioners of prior STRIDE-funded research, the data for the report consists of the journal articles produced through those efforts. Therefore, the sources used to create these dissemination materials are listed below in fulfilment of the data sharing requirement.</p>
Fig. 6 in Nuptial pads of rock frogs (Thoropa, Cycloramphidae, Anura): How papillary epidermal projections are related to sexual maturity and taxonomy
Fig. 6. Violin plots of the number of papillary epidermal projections (PEPs) on the left metacarpal-phalangeal articulation of finger II (MPA-II), the left inner metacarpal tubercle (IMT), the left whole finger II (M II + P-II), and the left finger III, grouped by species, with corresponding Kruskal–Wallis H statistics and Pvalues. The sample size is given below the species names.
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.