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An Empirical Study on the Classification of Bug Reports Using Machine Learning Algorithms - Supplementary Material This repository is divided as follows: 1 -> Datasets: A zip file containing 52 CSV files, where each file includes issue reports that belong to an individual project. All projects are listed in the Table II of the article. 2 -> Results: A zip file containing a series of TXT files which refers to the results obtained in each case study that belongs to the five research questions investigated in the article. 3 -> ITS_DataCollector: A zip file containing the source code of a Java tool developed in the scope of the study, to collect issue reports from different issue tracking systems. 4 -> TFIDF_IRClassification: A zip file containing the source code of a Python tool developed in the scope of the study, to run experiments belonging to each research question. The zip also includes the R scripts used to analyse the results obtained in the experiments of the five research questions. The datasets include all issue reports available for each project until the following dates: Community Project Collected in Apache Cassandra 2021-04-09 19:19:59.000000 +00:00 Apache Hadoop Common 2021-04-09 19:44:56.000000 +00:00 Apache Hadoop Hdfs 2021-04-09 19:30:53.000000 +00:00 Apache Ignite 2022-02-16 18:37:25.000000 +00:00 Apache Impala 2022-02-17 11:59:53.000000 +00:00 Apache Kafka 2021-04-09 19:53:21.000000 +00:00 Apache Lucene_Core 2021-04-09 19:04:35.000000 +00:00 Apache Mesos 2021-04-19 17:17:02.000000 +00:00 Apache Qpid 2021-04-19 17:07:46.000000 +00:00 Apache Solr 2021-04-09 20:05:13.000000 +00:00 Apache Spark 2021-04-19 16:57:57.000000 +00:00 Apache Thrift 2022-02-16 18:40:06.000000 +00:00 Apache Traffic Server 2022-02-17 11:55:44.000000 +00:00 Bazelbuild Bazel 2021-10-11 19:12:39.000000 +00:00 Cakephp Cakephp 2021-12-30 02:04:48.000000 +00:00 Chartjs Chart.Js 2021-12-30 02:08:23.000000 +00:00 Dotnet Roslyn 2021-10-03 14:45:26.000000 +00:00 Elastic Elasticsearch 2021-07-22 17:01:32.000000 +00:00 Elastic Kibana 2021-07-22 17:14:02.000000 +00:00 Electron Electron 2021-12-29 23:35:23.000000 +00:00 Godotengine Godot 2021-10-03 14:46:36.000000 +00:00 Google Tensorflow 2021-04-12 17:46:29.000000 +00:00 Hashicorp Terraform 2021-10-04 11:15:06.000000 +00:00 Kubernetes Kubernetes 2021-07-22 22:44:01.000000 +00:00 Mariadb MariaDB Server 2021-10-13 09:17:35.000000 +00:00 Microsoft VSCode 2021-04-12 17:42:14.000000 +00:00 Mongodb MongoDB Core Server 2021-10-11 21:36:23.000000 +00:00 Mozilla Core 2021-04-10 00:24:20.000000 +00:00 Mozilla Firefox 2021-04-09 19:33:05.000000 +00:00 Mozilla NSS 2022-02-16 14:56:08.000000 +00:00 Mozilla SeaMonkey 2022-02-16 14:46:56.000000 +00:00 Mozilla Thunderbird 2022-02-08 16:30:10.000000 +00:00 Mui-Org Material-Ui 2021-12-30 02:13:09.000000 +00:00 Netty Netty 2021-10-11 19:11:02.000000 +00:00 Nextcloud Server 2021-10-03 15:20:56.000000 +00:00 Nixos Nixpkgs 2021-10-10 13:43:57.000000 +00:00 Nodejs Node 2021-04-12 17:19:51.000000 +00:00 Numpy Numpy 2021-10-11 16:12:19.000000 +00:00 Owncloud Core 2021-07-23 15:24:04.000000 +00:00 Pandas-Dev Pandas 2021-10-10 13:58:42.000000 +00:00 Qgis Qgis 2021-10-11 16:23:36.000000 +00:00 Radareorg Radare2 2021-12-30 22:18:13.000000 +00:00 Saltstack Salt 2021-07-23 11:15:03.000000 +00:00 Scipy Scipy 2021-10-11 16:25:37.000000 +00:00 Serverless Serverless 2021-12-30 02:10:43.000000 +00:00 Spring-Projects Spring-Boot 2021-10-11 19:04:02.000000 +00:00 Spring-Projects Spring-Framework 2021-10-11 19:09:21.000000 +00:00 Strapi Strapi 2021-12-30 02:09:33.000000 +00:00 Symfony Symfony 2021-10-08 17:26:54.000000 +00:00 Twbs Bootstrap 2021-04-12 17:18:59.000000 +00:00 Weblateorg Weblate 2021-12-30 21:15:34.000000 +00:00 Yiisoft Yii2 2021-12-30 02:06:52.000000 +00:00
software defect, software fault, issue report, machine learning, bug classification
software defect, software fault, issue report, machine learning, bug classification
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
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| downloads | 4 |

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