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2,567 results for “bugs”
Investigating Types and Survivability of Performance Bugs in Mobile Apps
<p>Replication package of the paper entitled "Investigating Types and Survivability of Performance Bugs in Mobile Apps" published in The Empirical Software Engineering Journal</p>
Security Bug Conversations
<p>This dataset will be released as part of the following publication.</p> <ul> <li>Benjamin S. Meyers, Nuthan Munaiah, Andrew Meneely, and Emily Prud'hommeaux. <strong>Pragmatic Characteristics of Security Conversation: An Exploratory Linguistic Analysis. </strong><em>Forthcoming.</em><strong> </strong>Proceedings of the 12th International Workshop on Cooperative and Human Aspects of Software Engineering (CHASE 2019). Montréal, QC, Canada.</li> </ul> <p><strong>Files:</strong></p> <pre><code>security_bug_conversations.csv</code></pre> <p>The full dataset containing over 2.1 million comments posted by developers discussing bugs in the Chromium project. The dataset also includes the values we calculated for the five pragmatic features (described in Section 3 of the paper cited above).</p> <p><strong>CSV Fields:</strong></p> <ul> <li><strong>Organizational:</strong> <ul> <li><em>Bug ID:</em> Unique identifier of a bug discussion in the Chromium project. The URL https://bugs.chromium.org/p/chromium/issues/detail?id=<Bug ID> may be used to access the bug online</li> <li><em>Comment ID:</em> Unique identifier of a comment in a bug discussion</li> </ul> </li> <li><strong>Classification:</strong> <ul> <li><em>Is Security:</em> Binary indicator of whether or not a comment is part of a bug that is about security</li> </ul> </li> <li><strong>Natural Language:</strong> <ul> <li><em>Comment Text:</em> The raw natural language text of the bug comment</li> </ul> </li> <li><strong>Linguistic Metrics:</strong> <ul> <li><em>Min. Formality:</em> Minimum of the formality of sentences in the bug comment</li> <li><em>Max. Formality:</em> Maximum of the formality of sentences in the bug comment</li> <li><em>Max. Informativeness:</em> Maximum of the informativeness of sentences in the bug comment</li> <li><em>Max. Implicature:</em> Maximum of the implicature of sentences in the bug comment</li> <li><em>Min. Politeness:</em> Minimum of the politeness of sentences in the bug comment</li> <li><em>Max. Politeness:</em> Maximum of the politeness of sentences in the bug comment</li> <li>Number of Tokens</li> <li>Number of Sentences</li> <li><em>Has Doxastic Uncertainty:</em> Binary indicator of presence of a sentence with doxastic uncertainty in the bug comment</li> <li><em>Has Epistemic Uncertainty:</em> Binary indicator of presence of a sentence with epistemic uncertainty in the bug comment</li> <li><em>Has Conditional Uncertainty:</em> Binary indicator of presence of a sentence with conditional uncertainty in the bug comment</li> <li><em>Has Investigational Uncertainty:</em> Binary indicator of presence of a sentence with investigational uncertainty in the bug comment</li> <li><em>Has Uncertainty:</em> Binary indicator of presence of a sentence with any uncertainty in the bug comment</li> </ul> </li> </ul>
Is this bug severe? A text-cum-graph based model for bug severity prediction
<p>A snapshot of the dataset has been updated. For the time being, we are publishing a snapshot of the dataset where the bugs were reported after 2017.</p> <p>Paper link: <a href="https://arxiv.org/abs/2207.00623">https://arxiv.org/abs/2207.00623</a> (ECML-PKDD 2022)</p> <p>Cite our paper:</p> <p>@InProceedings{10.1007/978-3-031-26422-1_15,<br> author="Hazra, Rima<br> and Dwivedi, Arpit<br> and Mukherjee, Animesh",<br> editor="Amini, Massih-Reza<br> and Canu, St{\'e}phane<br> and Fischer, Asja<br> and Guns, Tias<br> and Kralj Novak, Petra<br> and Tsoumakas, Grigorios",<br> title="Is This Bug Severe? A Text-Cum-Graph Based Model for Bug Severity Prediction",<br> booktitle="Machine Learning and Knowledge Discovery in Databases",<br> year="2023",<br> publisher="Springer Nature Switzerland",<br> address="Cham",<br> pages="236--252",<br> isbn="978-3-031-26422-1"<br> }</p> <p><strong>*** Please see the new version. (10.5281/zenodo.5554978)</strong></p> <p>There is a total of six files.</p> <ul> <li><strong>bug_descriptions.csv:</strong> This file contains the bug id and its description.</li> <li><strong>bug_comments.csv:</strong> This file contains three columns. The columns are the bug ids, comments and timestamp of the comment.</li> <li><strong>bug_REPORTED_ON_details.csv:</strong> This file contains the bug id and the package name on which the bug is reported</li> <li><strong>affect_dataset.csv: </strong>This file contains the bug id and the affected packages along with the affect timestamp.</li> <li><strong>bug_heat_2019.csv:</strong> This file contains the bug ids and its bug heats crawled in November 2019.</li> <li><strong>bug_heat_2020.csv:</strong> This file contains the bug ids and its bug heats crawled in November 2020.</li> </ul>
Studying Bug-Fixing Commits in the WoC Dataset: Replication Package
<p>A replication package for the MSR 2023 Challenge submission titled "Studying Bug-Fixing Commits in the WoC Dataset".</p>
Data from Citizen science data reveal regional heterogeneity in phenological response to climate in the large milkweed bug, Oncopeltus fasciatus
These data include annotations for life stage, mating behavior, and plant part occupancy of large milkweed bug observations in North America as well as information about climate and environment.
Figs 274‒288. 274–279 ‒ male sternite 8 in Comparative genitalic morphology in ten genera of thread-legged bugs of the tribe Metapterini, and its phylogenetic importance (Hemiptera: Heteroptera: Reduviidae)
Figs 274‒288. 274–279 ‒ male sternite 8 (S8): 274–276 ‒ ventral view, 277‒279 ‒ lateral view; 280‒288 ‒ pygophore: 280‒282 ‒ dorsal view, 283‒285 ‒ lateral view, 286‒288 ‒ ventral view. 274, 277, 280, 283, 286 ‒ Bergemesa brachmanni (Berg, 1884); 275, 278, 281, 284, 287 ‒ Gardena faustina McAtee & Malloch, 1925; 276, 279, 282, 285, 288 ‒ Tagalis seminigra Champion, 1899. Scale bar: 0.5 mm
Figs 79‒88 in Comparative genitalic morphology in ten genera of thread-legged bugs of the tribe Metapterini, and its phylogenetic importance (Hemiptera: Heteroptera: Reduviidae)
Figs 79‒88. Pygophore in lateral view. 79–81 – Ghinallelia Wygodzinsky, 1966; 82–83 – Liaghinella Wygodzinsky, 1966; 84 – Onychomesa Wygodzinsky, 1966; 85–86 – Pseudometapterus Wygodzinsky, 1966; 87–88 – Schidium Bergroth, 1916. Scale bar: 0.5 mm. Abbreviations: mpp – medial posterior process of pygophore; pa – paramere; vpp – ventral protruding of the pygophore.
Figs 122‒131 in Comparative genitalic morphology in ten genera of thread-legged bugs of the tribe Metapterini, and its phylogenetic importance (Hemiptera: Heteroptera: Reduviidae)
Figs 122‒131. Phallus in dorsal view. 122–124 – Ghinallelia Wygodzinsky, 1966; 125–126 – Liaghinella Wygodzinsky, 1966; 127 – Onychomesa Wygodzinsky, 1966; 128–129 – Pseudometapterus Wygodzinsky, 1966; 130–131 – Schidium Bergroth, 1916. Scale bar: 0.5 mm. Abbreviations: dps – dorsal phallothecal sclerite; duc – ductifer.
Unified Bug Dataset
<p><strong>A Public Unified Bug Dataset for Java and its Assessment Regarding Metrics and Bug Prediction.</strong></p> <p>Online appendix for the paper submitted to the <strong><em>Software Quality Journal</em></strong>.</p> <p>Bug datasets have been created and used by many researchers to build and validate novel bug prediction models. In this work, our aim is to collect existing public source code metrics based bug datasets and unify their contents. Furthermore, we wish to assess the plethora of collected metrics and the capabilities of the unified bug dataset in bug prediction.<br> We considered 5 public datasets and we downloaded the corresponding source code for each system in the datasets and performed source code analysis to obtain a common set of source code metrics. This way, we produced a unified bug dataset at class and file level as well. We investigated the diversion of metric definitions and values of the different bug datasets. Finally, we used a decision tree algorithm to show the capabilities of the dataset in bug prediction.<br> We found that there are statistically significant differences in the values of the original and the newly calculated metrics, furthermore, notations and definitions can severely differ. We compared the bug prediction capabilities of the original and the extended metric suites (within-project learning). Afterwards, we merged all classes (and files) into one large dataset which consists of 47,618 elements (43,744 for files) and we evaluated the bug prediction model build on this large dataset as well. Finally, we also investigated cross-project capabilities of the bug prediction models and datasets. We made the unified dataset publicly available for everyone. By using a public unified dataset as an input for different bug prediction related investigations, researchers can make their studies reproducible, thus able to be validated and verified.</p>
Figs 19–27 in Annotated catalogue of the flower bugs from India (Heteroptera: Anthocoridae, Lasiochilidae)
Figs 19–27. Life stages of Indian anthocorids (egg, nymph, adult). 19–21 – Cardiastethus exiguus Poppius, 1913; 22–24 – Blaptostethus pallescens Poppius, 1909; 25–27 – Xylocoris flavipes (Reuter, 1875). Photo credits: C. Ballal.
Figs 1–12 in Annotated catalogue of the flower bugs from India (Heteroptera: Anthocoridae, Lasiochilidae)
Figs 1–12. Habitus photographs of selected Indian Anthocoridae. 1 – Amphiareus constrictus (Stål, 1860); 2 – Anthocoris muraleedharani Yamada, 2010; 3 – Physopleurella armata Poppius, 1909, from Thailand; 4 – Xylocoris (Arrostelus) flavipes (Reuter, 1875); 5 – Xylocoris (Proxylocoris) afer (Reuter, 1884); 6 – Blaptostethoides sp.; 7 – Montandoniola indica Yamada, 2011 (source: www.nbair.res.in); 8 – Xylocoris (Arrostelus) ampoli Yamada & Yasunaga, 2013; 9 – Carayonocoris indicus Muraleedharan, 1977; 10 – Xylocoris (Proxylocoris) confusus Carayon, 1972; 11 – Bilia sp. (this specimen is not examined); 12 – Buchananiella indica Muraleedharan, 1977. Photo credits: C. Ballal (1–2, 4–7, 9–12), K. Yamada (3, 8).
Figure 2 in A new termite bug in Miocene amber from the Dominican Republic (Hemiptera, Termitaphididae)
Figure 2. Termitaradus mitnicki sp. n. (KU DR-023), photomicrograph of female holotype, ventral aspect showing genitalia (length of specimen 5.8 mm).
Figs. 17-20 in Stink Bugs (Heteroptera, Pentatomidae) And An Unique Host Plant In The Brazilian Subtropics
Figs. 17-20. Loxa deducta: 17, adults on fruits of privet; 18, fifth instar on a privet leaf; 19, egg mass on a privet leaf. 20, fifth instar of Acrosternum impicticorne on privet fruits. (Scales: 2mm, fig. 17; 1mm, figs. 18-19; 0,5mm, fig. 20).
Figs. 1-7 in Stink Bugs (Heteroptera, Pentatomidae) And An Unique Host Plant In The Brazilian Subtropics
Figs. 1-7. Seasonal abundance of nymphs and adults of the most common pentatomids found on privet Ligustrum lucidum during a one-year period in northern Paraná state, Brazil.
Figure 6 in Biodiversity of the scentless plant bugs (Hemiptera: Rhopalidae) in southern South America
Figure 6. Distribution of Jadera Stål species in Argentina. Pale colour: known distributions. The number of known species for each province is provided, with an asterisk indicating the number of newly recorded species.
Figure 1 in Biodiversity of the scentless plant bugs (Hemiptera: Rhopalidae) in southern South America
Figure 1. Distribution of Liorhyssus Stål species in Argentina. Pale colour: known distributions; dark colour: new distributions. The number of known species for each province is provided, with an asterisk indicating the number of newly recorded species.
Figure 7 in Biodiversity of the scentless plant bugs (Hemiptera: Rhopalidae) in southern South America
Figure 7. Known records for the species of Rhopalidae from Argentina over the years (cumulative relative frequencies 0–100%).
Figure 19 in The flower bug genus Orius Wolff, 1811 (Hemiptera: Heteroptera: Anthocoridae: Oriini) of Thailand
Figure 19. Female genitalia, dorsal view. (A) O. sakaerat, paratype; (B) O. taksini, paratype; (C) O. tomokunii, paratype; (D) O. filiferus, paratype; (E) O. machaerus, paratype. Abbreviations: ism = intersegmental membrane between abdominal sterna VII and VIII; st VI = sternum VI; st VII = sternum VII. Scale bars: 0.05 mm.
Figure 15 in The flower bug genus Orius Wolff, 1811 (Hemiptera: Heteroptera: Anthocoridae: Oriini) of Thailand
Figure 15. Paramere, three different views. (A–C) O. filiferus, holotype. Abbreviations: cn = cone; flg = flagellum. Scale bars: 0.05 mm.
Figure 17 in The flower bug genus Orius Wolff, 1811 (Hemiptera: Heteroptera: Anthocoridae: Oriini) of Thailand
Figure 17. Paramere, three different views. (A–C), O. crassus, holotype. Abbreviations: cn = cone; flg = flagellum. Scale bars: 0.05 mm.
ScienceDex guides
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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.