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10 results for “Jira”
Kanban tasks opening and close dates differences between git and Jira
<p>Dataset contains about three years of records from a software development company.</p> <p>Dataset contains the task start and end date registered in Jira software and the open and merged dates for those same tasks extracted from git records.</p> <p>This dataset compares those opening and close dates and shows the differences</p>
Apache Jira Issue Tracking Dataset
<p>This dataset contains the Jira Issue Tracking data of the Apache Software Foundation, enriched with topic modeling information using the BERTopic technique.</p> <p>You can use the dataset with the following steps:</p> <ol> <li>Set up a MongoDB instance.</li> <li>Download the data.</li> <li>Navigate to the download folder and use the mongorestore command (<a href="https://docs.mongodb.com/database-tools/mongorestore/" target="_blank" rel="noopener">https://docs.mongodb.com/database-tools/mongorestore/</a>) with the --gzip flag.</li> </ol> <p>Detailed instructions for setting up/reproducing/updating the dataset are also provided in the website <a href="https://authecesofteng.github.io/semantics-jira-dataset/" target="_blank" rel="noopener">https://authecesofteng.github.io/semantics-jira-dataset/</a> (relevant repos <a href="https://github.com/AuthEceSoftEng/jira-apache-downloader" target="_blank" rel="noopener">https://github.com/AuthEceSoftEng/jira-apache-downloader</a> and <a href="https://github.com/AuthEceSoftEng/jira-topic-extractor" target="_blank" rel="noopener">https://github.com/AuthEceSoftEng/jira-topic-extractor</a>)</p> <p><em>Note: you do not need to download the models .rar files if you do not use them, as the issue-topic distribution (along with probabilities) is already computed and stored in the topics Mongo collection.</em></p>
AEEEM-JIRA-PROMISE
<p>A total of 22 software defect datasets with format ARFF.</p> <p>AEEEM was collected by D’Ambros et al. [1], PROMISE was prepared by Jureczko and Madeyski [2], and JIRA is a new repository of highly-curated defect datasets collected by Yatish et al. [3].</p> <p>[1] M. D’Ambros, M. Lanza, and R. Robbes, “Evaluating defect prediction approaches: A benchmark and an extensive comparison,”Empirical Softw. Engg., vol. 17, no. 4-5, pp. 531–577, Aug. 2012.</p> <p>[2] M. Jureczko and L. Madeyski, “Towards identifying software project clusters with regard to defect prediction,” in Proceedings of the 6th International Conference on Predictive Models in Software Engineering, ser. PROMISE ’10. New York, NY, USA: ACM, 2010, pp. 9:1–9:10.</p> <p>[3] S. Yatish, J. Jiarpakdee, P. Thongtanunam, and C. Tantithamthavorn,“Mining software defects: Should we consider affected releases?” in The International Conference on Software Engineering (ICSE), 2019.</p>
The Public Jira Dataset
<p>Jira is an issue tracking system that supports software companies (among other types of companies) with managing their projects, community, and processes. This dataset is a collection of public Jira repositories downloaded from the internet using the Jira API V2. We collected data from 16 public Jira repositories containing 1822 projects and 2.7 million issues. Included in this data are historical records of 32 million changes, 9 million comments, and 1 million issue links that connect the issues in complex ways. This artefact repository contains the data as a MongoDB dump, the scripts used to download the data, the scripts used to interpret the data, and qualitative work conducted to make the data more approachable.</p> <p>Note: This data has been anonymised to remove all personal information stored inside the user records within each object. This includes information about the assignee, creator, and reporter for each issue, as well as the identifying information contained with comment authors and evolution authors. Using UUID4 masks, uniqueness has been maintained while removing all personal identifying information.</p> <p>Please cite this work as:</p> <p>Montgomery L, Lüders C, Maalej W. An Alternative Issue Tracking Dataset of Public Jira Repositories. In 2022 IEEE/ACM 19th International Conference on Mining Software Repositories (MSR) 2022 May 23 (pp. 73-77). IEEE.</p>
Jira Monitoring Data September 2018
<pre>This is the fourth of four datasets that our research "Comparing Static and Dynamic Weighted Software Coupling Metrics" published in <a href="https://doi.org/10.1007/978-3-030-30275-7_22">https://doi.org/10.1007/978-3-030-30275-7_22</a> is based on. This dataset contains the monitoring data from our installation of Atlassian Jira, from September 2018.</pre>
Historical Issue Data of Projects on Jira
<p>This dataset contains all the historical issues from sixty-six Apache Open Source projects collected in February 2018. It was used in the paper “Traceability Network Analysis: A Case Study of Links In Issue Tracking Systems” published in the Seventh International Workshop on Artificial Intelligence and Requirements Engineering (AIRE'20) to study issue traceability as a network structure.</p>
Jira Monitoring Data September 2017
<pre>This is the second of four datasets that our research "Comparing Static and Dynamic Weighted Software Coupling Metrics" published in <a href="https://doi.org/10.1007/978-3-030-30275-7_22">https://doi.org/10.1007/978-3-030-30275-7_22</a> is based on. This dataset contains the monitoring data from our installation of Atlassian Jira, from September 2017. </pre>
Jira Monitoring Data February 2017
<p>This is the first of four datasets that our research "Comparing Static and Dynamic Weighted Software Coupling Metrics" published in https://doi.org/10.1007/978-3-030-30275-7_22 is based on. This dataset contains the monitoring data from our installation of Atlassian Jira, from February 2017.</p>
Jira Monitoring Data February 2018
<pre>This is the third of four datasets that our research "Comparing Static and Dynamic Weighted Software Coupling Metrics" published in <a href="https://doi.org/10.1007/978-3-030-30275-7_22">https://doi.org/10.1007/978-3-030-30275-7_22</a> is based on. This dataset contains the monitoring data from our installation of Atlassian Jira, from February 2018.</pre>
Jira Coin
A Simple 3D Coin With Jira Logo Source: Objaverse 1.0 / Sketchfab
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