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Fig. 4. Morphological characters. A–D in Pseudocetherinae (Hemiptera: Reduviidae) revisited: phylogeny and taxonomy of the lobe-headed bugs

Fig. 4. Morphological characters. A–D. Scutellum and hemelytron, dorsal view. A. Gerbelius typicus Distant, 1903.B. Voconia lirophleps sp. nov. C. Voconia bracata sp. nov.D. Voconia schoutedeni (Villiers, 1964) comb. nov. E. Voconia grandioculata sp. nov., thorax, lateral view. F–H. Voconia nyx sp. nov. F. Thorax, lateral view. G. Fore tibia, ventral view. H. Mid tibia and tarsus, ventral view. I–K. Hind femur, posterior view. I. Voconia mexicana sp. nov. J. Voconia decorata sp. nov. K. Voconia bracata sp. nov.

Fig. 3. Morphological characters. A–D in Pseudocetherinae (Hemiptera: Reduviidae) revisited: phylogeny and taxonomy of the lobe-headed bugs

Fig. 3. Morphological characters. A–D. Head in dorsal view. A. Gerbelius nr. confluens. B. Voconia decorata sp. nov. C. Voconia pallidipes Stål, 1866. D. Voconia schoutedeni (Villiers, 1964) comb. nov. E–G. Head in lateral view. E. Voconia wegneri (Miller, 1954) comb. nov. F. Voconia dolichocephala sp. nov. G. Gerbelius typicus Distant, 1903. H. Voconia loki sp. nov., head and pronotum in dorsal view. I–J. Prosternum in ventrolateral view. I. Voconia mexicana sp. nov. J. Voconia bracata sp. nov. K–L. Pronotum in dorsal view. K. Voconia conradti (Jeannel, 1917) comb. nov. L. Voconia tuberculata sp. nov.

Fig. 1. Strict consensus tree resulting from equal weighting analysis. Jackknife values over 51 in Pseudocetherinae (Hemiptera: Reduviidae) revisited: phylogeny and taxonomy of the lobe-headed bugs

Fig. 1. Strict consensus tree resulting from equal weighting analysis. Jackknife values over 51 are reported for tree one of eight.

Dataset of the paper "Machine learning for expert-level image-based identification of very similar species in the hyperdiverse plant bug family Miridae (Hemiptera: Heteroptera)"

This dataset contains 3792 images of 26 plant bug (Insecta: Heteroptera: Miridae: Mirini) species used to test the performance of a CNN in species recognition. All jpg files are 1920 pixels on the long size and additionally available as an archive file to facilitate download of the entire dataset.  Bar code labels (unique specimen identifiers or USIs) were attached to all examined specimens used for this study. Further information such as additional photographs of habitus and genitalic structures, georeferenced coordinates of each locality, specimens dissected, notes, collecting method can be obtained from the Heteroptera Species Pages (http://research.amnh.org/pbi/heteropteraspeciespage/) which assembles available data from a specimen database and are also provided as an Excel spreadsheet (file _Adelphocoris_CNN_label_data.xlsx).

opencc-by-4.0May 2020View details →

Fig. 2 in Ecological And Faunistic Review Of The True Bugs Of Infraorder Cimicomorpha (Heteroptera) Of Urban Cenoses Of Kharkiv City (Ukraine)

Fig. 2. Ratio between main trophic groups of true bugs in terms of number of species and relative abundance (% out of the total number of true bugs). Names of groups in acronyms are the same as in the table 1.

opencc-by-4.0May 2020View details →

Fig. 3 in Ecological And Faunistic Review Of The True Bugs Of Infraorder Cimicomorpha (Heteroptera) Of Urban Cenoses Of Kharkiv City (Ukraine)

Fig. 3. Ratio between hygropreference of main groups of true bugs in terms of number of species and relative abundance (% out of the total number of true bugs). Names of groups in acronyms are the same as in the table 1.

opencc-by-4.0May 2020View details →

Fig. 1 in Ecological And Faunistic Review Of The True Bugs Of Infraorder Cimicomorpha (Heteroptera) Of Urban Cenoses Of Kharkiv City (Ukraine)

Fig. 1. Ratio between main biotopic groups of true bugs in terms of number of species and relative abundance (% out of the total number of true bugs). Names of groups in acronyms are the same as in the table 1.

opencc-by-4.0Sep 2021View details →

Dataset of the paper "An Empirical Characterization of Software Bugs in Open-Source Cyber-Physical Systems"

#Dataset Package for the paper "An Empirical Characterization of Software Bugs in Open-Source Cyber-Physical Systems" Description of the content: 1) "1_RQ-CPS-bugs-Taxonomy" folder contains all the main experimental data concerning the issues sampled and analyzed from all the Projects considered in the study,     including row-data on the taxonomy validtion steps.              - Under "the sub-folder "1_Taxonomy-Raw-data" are reported the row-data concerning the taxonomy validtion steps  2) "2_Scripts" contains all scripts used to generate the issue data and sampled issue raw-data in the previous folders:      - "setup.md" file in the folder describes how to set=up and run the script used for collecting and sampling the issues for the validation steps:                      - runJSONtoCSV.sh                 - JSONtoCSV.py                 - generateListOfAllSamples.py                 - generateAllSamples.r          Under "the sub-folder "1_Scripts/1_Data_Collection":              3) "3_Final Taxonomy" folder contains the final Table representation (also reported in the previous folder) and main figures of the CPSs Bugs Taxonomy.

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Adult facilitation becomes competition as juvenile soapberry bugs age

Intraspecific interactions can change from facilitative to competitive depending on the organism's ontogeny. In plant-feeding insects, host plant defenses can be strengthened or weakened by insect feeding, and can therefore be important for determining whether two insects feeding on the same plant help or harm each other's fitness. Here I conducted two experiments looking at the direct effect of a physical seed defense and the role of intraspecific facilitation in reducing the effects of that defense for juveniles of the red-shouldered soapberry bug. I demonstrate that juveniles are severely inhibited by the tough seed coat of their host plant, leading to high mortality early in development. Adults, in contrast, can create holes through which younger individuals could potentially feed. I manipulated whether or not seeds were fed on by adults on two host plant species: a well-defended native host and a poorly defended introduced host. Survival in the first week of development was dramatically improved by prior adult feeding and this facilitation was stronger on the well-defended host plant. However, the benefits of prior adult feeding ceased after the first week of development and shifted to having a negative effect on survival, development time, and body size. These results indicate that ontogeny is a key factor determining the effects of plant defenses and the strength and direction of intraspecific interactions across multiple host plant species.

opencc-zeroAug 2022View details →

opencc-by-4.0Jul 2022View details →

Is this Change the Answer to that Problem? Correlating Descriptions of Bug and Code Changes for Evaluating Patch Correctness

Change the absolute path of the files in 'experiment/config' of the github repository to refer to the two downloaded files below. 1. ASE2022withTextUnique.zip:  the original dataset with patches text and commit messages text. 2. ASE_features2_bert.pickle:  the feature from Tian et al.'s ASE2020 paper.

opencc-by-4.0Apr 2022View details →

Are Neural Bug Detectors Comparable to Software Developers on Variable Misuse Bugs?

Artifact for "Are Neural Bug Detectors Comparable to Software Developers on Variable Misuse Bugs?" Abstract:  Debugging, that is, identifying and fixing bugs in software, is a central part of software development. Developers are therefore often confronted with the task of deciding whether a given code snippet contains a bug, and if yes, where. Recently, data-driven methods have been employed to learn this task of bug detection, resulting (amongst others) in so called neural bug detectors. Neural bug detectors are trained on millions of buggy and correct code snippets. Given the “neural learning” procedure, it seems likely that neu- ral bug detectors – on the specific task of finding bugs – have a performance similar to human software developers. For this work, we set out to substantiate or refute such a hypothesis. We report on the results of an empirical study with over 100 software developers, targeting the comparison of humans and neural bug detectors. As detection task, we chose a specific form of bugs (variable misuse bugs) for which neural bug detectors have recently made significant progress. Our study shows that despite the fact that neural bug detectors see millions of such misuse bugs during training, software developers – when conducting bug detection as a majority decision – are slightly better than neural bug detectors on this class of bugs. Altogether, we find a large overlap in the performance, both for classifying code as buggy and for localizing the buggy line in the code. In comparison to developers, one of the two evaluated neural bug detectors, however, raises a higher number of false alarms in our study. Content: The artifact includes the following components: <ul> <li> Web UI: The developer survey was performed online in the browser of the participants. For this, we created a custom web interface tailored for our study task. We included both the implementation of the frontend (website) and backend implementation (buisness logic and database) in this artifact. Therefore, it is not only possible to replicate our survey with same interface and a new group of participants but it is also possible to extend the interface for future studies.  </li> <li> Neural bug detectors: We evaluate the performance of the developers against two neural bug detectors. In this artifact, we include the bug detectors (implementation + trained models) and the evaluation script used for producing our results. Besides the replication of our bug detector evaluation, the detectors can also be used in future projects for detecting variable misuse bugs in Java methods. </li> <li> Analysis scripts: After collecting the raw results from the developers and neural bug detectors, we performed several analysis to gain insights how developers and bug detectors compare on the variable misuse task. We include all analysis steps in form of Jupyter notebooks in the artifact. With this, it is possible to reproduce all the figures of our paper.  </li> </ul> In addition, we also provide further artifacts that were successfully evaluated at ASE 2022: ASE 2022 Artifact: <a href="https://doi.org/10.5281/zenodo.6958242">10.5281/zenodo.6958242</a> Virtual machine: <a href="https://doi.org/10.5281/zenodo.6957849">10.5281/zenodo.6957849</a>

Figs 3–5. Ectomocoris melanopterus Distant, 1919 in Taxonomic notes on the Indian assassin bug Ectomocoris simulans (Hemiptera: Heteroptera: Reduviidae) with two new synonyms

Figs 3–5. Ectomocoris melanopterus Distant, 1919, lectotype, male, habitus. 3 – dorsal view; 4 – ventral view; 5 – lateral view. Scale bar: 2.00 mm.

Figs 12–20 in Taxonomic notes on the Indian assassin bug Ectomocoris simulans (Hemiptera: Heteroptera: Reduviidae) with two new synonyms

Figs 12–20. Male genitalia of Ectomocoris simulans Distant, 1919, non-type. 12–14 – pygophore; 15 – left paramere; 16 – right paramere; 17–20 – phallus. 12, 18 – ventral view; 13 – caudal view; 14, 19, 20 – lateral view; 15, 16 – outer ventrolateral view; 17 – dorsal view. Abbreviations: bp – basal plate; bpb – basal plate bridge; dps – dorsal phallothecal sclerite; lps – lateral phallothecal sclerite; mpp – median pygophore process; ped – pedicel; st – struts. Arrow indicates the small sharp process on the apex of paramere. Scale bars: 1.00 mm (Figs 12–14), 0.80 mm (Figs 15–20).

Figs 9–11. Ectomocoris simulans Distant, 1919 in Taxonomic notes on the Indian assassin bug Ectomocoris simulans (Hemiptera: Heteroptera: Reduviidae) with two new synonyms

Figs 9–11. Ectomocoris simulans Distant, 1919, non-type, female, habitus. 9 – dorsal view; 10 – ventral view; 11 – lateral view. Scale bar: 3.00 mm.

Figs 1–2. Ectomocoris simulans Distant, 1919 in Taxonomic notes on the Indian assassin bug Ectomocoris simulans (Hemiptera: Heteroptera: Reduviidae) with two new synonyms

Figs 1–2. Ectomocoris simulans Distant, 1919, lectotype, male, habitus. 1 – dorsal view; 2 – lateral view. Scale bar: 3.00 mm.

Figs 6–8 in Taxonomic notes on the Indian assassin bug Ectomocoris simulans (Hemiptera: Heteroptera: Reduviidae) with two new synonyms

Figs 6–8. Ectomocoris xavierei Vennison & Ambrose, 1990, holotype, male, habitus. 6 – dorsal view; 7 – ventral view; 8 – lateral view. Scale bar: 3.00 mm.

Figs 2A–F in Two new species of the genus Omoplax (Hemiptera: Heteroptera: Tingidae) from Mukojima Island, with new records of lace bugs endemic to the Ogasawara Islands, Japan

Figs 2A–F. Head and pronotum, dorsal and dorsolateral views: A, B, D, E – Omoplax karubei sp. nov.: A, D – male, B, E – female. C, F – O. mukojimensis sp. nov.: female. Scale bars = 0.2 mm.

Figs 3A–F in Two new species of the genus Omoplax (Hemiptera: Heteroptera: Tingidae) from Mukojima Island, with new records of lace bugs endemic to the Ogasawara Islands, Japan

Figs 3A–F. Hemelytra, dorsal and dorsolateral views: A, B, D, E – Omoplax karubei sp. nov.: A, D – male, B, E – female. C, F – O. mukojimensis sp. nov.: female. Scale bars = 0.2 mm.

Figs 1A–C in Two new species of the genus Omoplax (Hemiptera: Heteroptera: Tingidae) from Mukojima Island, with new records of lace bugs endemic to the Ogasawara Islands, Japan

Figs 1A–C. Two species ofOmoplax from Mukojima Island, the Ogasawara Islands, Japan, dorsal view:A, B – O. karubei sp. nov.: A – male, B – female. C – O. mukojimensis sp. nov.: female. Scale bar = 1.0 mm.

Figs 6A–G in Two new species of the genus Omoplax (Hemiptera: Heteroptera: Tingidae) from Mukojima Island, with new records of lace bugs endemic to the Ogasawara Islands, Japan

Figs 6A–G. Three tingid species endemic to the Ogasawara Islands, Japan, dorsal view: A–B – Acanthomoplax tomokunii Souma & Kamitani, 2021: A – male from Hahajima Island, B – female from Ototojima Island. C–E – Omoplax desecta (Horváth, 1912): C – male from Mukohjima Island, D – female from Meijima Island, E – female from Nakoudojima Island. F–G – O. majorcarinae Guilbert, 2001: F – male from Hahajima Island, G – female from Chichijima Island. Scale bar = 1.0 mm.