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5d9312965cc55751943f9c5a3de4db51c187fd9f | A Dataset for GitHub Repository Deduplication | 2,020 | 31 | [
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5d9312965cc55751943f9c5a3de4db51c187fd9f | A Dataset for GitHub Repository Deduplication | 2,020 | 31 | [
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5d9312965cc55751943f9c5a3de4db51c187fd9f | A Dataset for GitHub Repository Deduplication | 2,020 | 31 | [
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5d9312965cc55751943f9c5a3de4db51c187fd9f | A Dataset for GitHub Repository Deduplication | 2,020 | 31 | [
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5d9312965cc55751943f9c5a3de4db51c187fd9f | A Dataset for GitHub Repository Deduplication | 2,020 | 31 | [
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5d9312965cc55751943f9c5a3de4db51c187fd9f | A Dataset for GitHub Repository Deduplication | 2,020 | 31 | [
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5d9312965cc55751943f9c5a3de4db51c187fd9f | A Dataset for GitHub Repository Deduplication | 2,020 | 31 | [
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5d9312965cc55751943f9c5a3de4db51c187fd9f | A Dataset for GitHub Repository Deduplication | 2,020 | 31 | [
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5d9312965cc55751943f9c5a3de4db51c187fd9f | A Dataset for GitHub Repository Deduplication | 2,020 | 31 | [
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5d9312965cc55751943f9c5a3de4db51c187fd9f | A Dataset for GitHub Repository Deduplication | 2,020 | 31 | [
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72d4de9dd40e3092e6b227e7ddc648a5e88f5520 | A Dataset of Pull Requests and A Trained Random Forest Model for predicting Pull Request Acceptance | 2,020 | 3 | [
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"…project borders, studying follower networks (Celińska, 2018; Iyer et al., 2021; Soto et al., 2017; Tsay et al., 2014; Yu et al., 2016; Zhang et al., 2022a), Dey and Mockus (2020) were the first to consider the effect of ecosystem-wide factors on pull request acceptance in open-source software.",
"We successfull... | [] | true |
abe78288366f7b38149ca0853daa65a4d1b71214 | Effect of Technical and Social Factors on Pull Request Quality for the NPM Ecosystem | 2,020 | 21 | [
{
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{
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] | 9983288f28f1341b0f34516fa491a4ea967cf77f | [
"This distinction matters because contributors with a history of interaction, even after dropping off, may find it easier to have their future contributions accepted, as demonstrated in prior studies [Dey and Mockus, 2020].",
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abe78288366f7b38149ca0853daa65a4d1b71214 | Effect of Technical and Social Factors on Pull Request Quality for the NPM Ecosystem | 2,020 | 21 | [
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"…of the time required to close PRs [3], [5], investigating social aspects of PRs acceptance [11], investigating the personality traits of developers involved in the PRs acceptance process [12], or looking at the characteristics of PRs that increase the acceptance rate of PRs [13], [14], [15].",
"Furthermore, sub... | [
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] | true |
abe78288366f7b38149ca0853daa65a4d1b71214 | Effect of Technical and Social Factors on Pull Request Quality for the NPM Ecosystem | 2,020 | 21 | [
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abe78288366f7b38149ca0853daa65a4d1b71214 | Effect of Technical and Social Factors on Pull Request Quality for the NPM Ecosystem | 2,020 | 21 | [
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{
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] | [
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abe78288366f7b38149ca0853daa65a4d1b71214 | Effect of Technical and Social Factors on Pull Request Quality for the NPM Ecosystem | 2,020 | 21 | [
{
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},
{
"authorId": "1702551",
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}
] | 8963e7aec92235d3c02df463f40341a35f64ff4f | [
"Since then, many studies have been conducted on investigating the effects of socio-technical factors on pull request quality in an OSS development environment [16, 17, 57]."
] | [
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] | false |
abe78288366f7b38149ca0853daa65a4d1b71214 | Effect of Technical and Social Factors on Pull Request Quality for the NPM Ecosystem | 2,020 | 21 | [
{
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{
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] | 40b4d0f6d2a30da9beca6871de7599b21fd26f67 | [
"Section 1) and having been the subject of many studies (Chinthanet et al, 2021; Cogo et al, 2019; Decan et al, 2018; Abdalkareem et al, 2017; Zerouali et al, 2018; Dey et al, 2019; Dey and Mockus, 2020).",
"Recently, Dey and Mockus (2020) revealed the significant effects of technical and social factors on the deve... | [
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abe78288366f7b38149ca0853daa65a4d1b71214 | Effect of Technical and Social Factors on Pull Request Quality for the NPM Ecosystem | 2,020 | 21 | [
{
"authorId": "8041820",
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},
{
"authorId": "1702551",
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}
] | dc8a53a9117bb7a97519ad9ccbb657236da96e79 | [
", and if copying code might have any effect on a developer’s pull request being accepted [14].",
"…popularity (Dey et al. 2019), the developers’ mastery on the project topics (Dey et al. 2021), the supply chain of a particular software (Dey and Mockus 2018a; Amreen et al. 2019) etc., and if copying code might ha... | [
"background"
] | false |
abe78288366f7b38149ca0853daa65a4d1b71214 | Effect of Technical and Social Factors on Pull Request Quality for the NPM Ecosystem | 2,020 | 21 | [
{
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"name": "Tapajit Dey"
},
{
"authorId": "1702551",
"name": "A. Mockus"
}
] | a15dcdede812815df972de7c04df44f12546e6f2 | [
"Previous research has highlighted that many social and technical aspects affect the pull request acceptance (Tsay et al. 2014; Dey and Mockus 2020).",
"Previous research has highlighted that many social and technical aspects affect the pull request acceptance [15, 51]."
] | [
"background"
] | false |
abe78288366f7b38149ca0853daa65a4d1b71214 | Effect of Technical and Social Factors on Pull Request Quality for the NPM Ecosystem | 2,020 | 21 | [
{
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{
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] | bbb1824f51a7291e9f2f0e43957e6d7fe50af253 | [] | [] | false |
abe78288366f7b38149ca0853daa65a4d1b71214 | Effect of Technical and Social Factors on Pull Request Quality for the NPM Ecosystem | 2,020 | 21 | [
{
"authorId": "8041820",
"name": "Tapajit Dey"
},
{
"authorId": "1702551",
"name": "A. Mockus"
}
] | c4eeb1f794d27a6c4b13834f9c2e33bab7bbe217 | [
"Recently, researchers have analyzed pull request data, especially from open-source projects, in several different ways and for different purposes [1] [2] [3] [4] [5] [6] [7]."
] | [
"background"
] | false |
abe78288366f7b38149ca0853daa65a4d1b71214 | Effect of Technical and Social Factors on Pull Request Quality for the NPM Ecosystem | 2,020 | 21 | [
{
"authorId": "8041820",
"name": "Tapajit Dey"
},
{
"authorId": "1702551",
"name": "A. Mockus"
}
] | c723b9dbbbd8f4747e04b8e1051083bd44f06949 | [
"We then evaluate if these embeddings reflect the postulated topology of the Skill Space by predicting what new APIs/projects developers use/join, and whether or not their pull requests get accepted (using the pull request dataset used by Dey and Mockus [12]).",
"We then evaluate if these embeddings reflect the po... | [
"background"
] | false |
abe78288366f7b38149ca0853daa65a4d1b71214 | Effect of Technical and Social Factors on Pull Request Quality for the NPM Ecosystem | 2,020 | 21 | [
{
"authorId": "8041820",
"name": "Tapajit Dey"
},
{
"authorId": "1702551",
"name": "A. Mockus"
}
] | 12404a5147b39e9a34849606bf2c056f84903c8d | [
"The effect of overall expertise of software developers, extracted using WoCdata, and other social and technical factors on the chance of their pull requestsgetting accepted was discussed in Dey and Mockus (2020c), and the related dataset was made available at Dey and Mockus (2020a).",
"– The effect of overall ex... | [
"methodology",
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] | false |
abe78288366f7b38149ca0853daa65a4d1b71214 | Effect of Technical and Social Factors on Pull Request Quality for the NPM Ecosystem | 2,020 | 21 | [
{
"authorId": "8041820",
"name": "Tapajit Dey"
},
{
"authorId": "1702551",
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}
] | d558e0171d1cb60071ec5d55c222823005141067 | [
" LOGISTIC REGRESSION MODEL PREDICTING PR ACCEPTANCE.Cosine Similarity between Developer and Project IS THE VARIABLE WE INTRODUCED IN THIS STUDY (HIGHLIGHTED IN GRAY). OTHER VARIABLES ARE ADOPTED FROM [6]. THE NON-SIGNIFICANT VARIABLE IS HIGHLIGHTED IN RED, BINARY VARIABLES ARE IN BLUE Predictor Coefficient ±Std. Er... | [
"background",
"methodology"
] | true |
c6e1e2b00feca97b662fe67af434f090df3fc339 | An Exploratory Study of Bot Commits | 2,020 | 21 | [
{
"authorId": "8041820",
"name": "Tapajit Dey"
},
{
"authorId": "2434621",
"name": "Bogdan Vasilescu"
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{
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}
] | fc8e7270c0a4d57853f243b128bdc0a029cf380d | [
"Concerning the exclusion of commits contributed by bots, we apply simple heuristics acting on the contributor’s name and on the commit message as done in previous work [45]–[48]."
] | [] | false |
c6e1e2b00feca97b662fe67af434f090df3fc339 | An Exploratory Study of Bot Commits | 2,020 | 21 | [
{
"authorId": "8041820",
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},
{
"authorId": "2434621",
"name": "Bogdan Vasilescu"
},
{
"authorId": "1702551",
"name": "A. Mockus"
}
] | 13599bb6777cac72661ce2c7e400fe78da03a439 | [] | [] | false |
c6e1e2b00feca97b662fe67af434f090df3fc339 | An Exploratory Study of Bot Commits | 2,020 | 21 | [
{
"authorId": "8041820",
"name": "Tapajit Dey"
},
{
"authorId": "2434621",
"name": "Bogdan Vasilescu"
},
{
"authorId": "1702551",
"name": "A. Mockus"
}
] | 32c643552d36ea4542b47b802ee56ce1b104ce70 | [
"Additionally, an MSR researcher should consider including or excluding bot commits [DVM20]."
] | [] | false |
c6e1e2b00feca97b662fe67af434f090df3fc339 | An Exploratory Study of Bot Commits | 2,020 | 21 | [
{
"authorId": "8041820",
"name": "Tapajit Dey"
},
{
"authorId": "2434621",
"name": "Bogdan Vasilescu"
},
{
"authorId": "1702551",
"name": "A. Mockus"
}
] | 0e5153c239bf6958a70acfa06c383d6968e28b8f | [
"From the identified literature, two studies propose bots for automatically creating/modifying software configuration files or similar [A28, A29], and four studies [A19, A22, A30][B84] report about bots used to manage and monitor project dependencies.",
"Several works focus their attention on bots used to automat... | [] | true |
c6e1e2b00feca97b662fe67af434f090df3fc339 | An Exploratory Study of Bot Commits | 2,020 | 21 | [
{
"authorId": "8041820",
"name": "Tapajit Dey"
},
{
"authorId": "2434621",
"name": "Bogdan Vasilescu"
},
{
"authorId": "1702551",
"name": "A. Mockus"
}
] | d661383ea2c176cef479f32d12d3bc0dd6079eea | [
"Another study [13] presented an exploratory analysis of bot commits in open source projects.",
"For example, in their study [13], the authors examined the language distribution of files updated by bot commits and discovered that HTML files are among the most frequently updated types."
] | [] | false |
c6e1e2b00feca97b662fe67af434f090df3fc339 | An Exploratory Study of Bot Commits | 2,020 | 21 | [
{
"authorId": "8041820",
"name": "Tapajit Dey"
},
{
"authorId": "2434621",
"name": "Bogdan Vasilescu"
},
{
"authorId": "1702551",
"name": "A. Mockus"
}
] | 3287aca1ccd9b575e491c0fbc3b4451e2be39cbb | [
"We identified four bot accounts, which together submitted 138 commits, based on the patterns identified by previous work [2, 21, 77, 87]; the list of removed accounts can be found in the online appendix [85].",
"Previous research found that some commits are submitted by automated bots rather than human developer... | [
"methodology",
"background"
] | false |
c6e1e2b00feca97b662fe67af434f090df3fc339 | An Exploratory Study of Bot Commits | 2,020 | 21 | [
{
"authorId": "8041820",
"name": "Tapajit Dey"
},
{
"authorId": "2434621",
"name": "Bogdan Vasilescu"
},
{
"authorId": "1702551",
"name": "A. Mockus"
}
] | ba3e6adca78de46be5ffa71701897fd2f89b7f23 | [
"Dey et al. [4, 5] investigated commits performed by bots and found that most bot commits involve a single file."
] | [
"background"
] | false |
c6e1e2b00feca97b662fe67af434f090df3fc339 | An Exploratory Study of Bot Commits | 2,020 | 21 | [
{
"authorId": "8041820",
"name": "Tapajit Dey"
},
{
"authorId": "2434621",
"name": "Bogdan Vasilescu"
},
{
"authorId": "1702551",
"name": "A. Mockus"
}
] | dc8a53a9117bb7a97519ad9ccbb657236da96e79 | [
"Looking deeper into the code created during the hackathons, it might also be interesting to see to what extent the teams use bots (Dey et al. 2020a, b) which might aid in the understanding of hackathon code reuse as well."
] | [
"background"
] | false |
c6e1e2b00feca97b662fe67af434f090df3fc339 | An Exploratory Study of Bot Commits | 2,020 | 21 | [
{
"authorId": "8041820",
"name": "Tapajit Dey"
},
{
"authorId": "2434621",
"name": "Bogdan Vasilescu"
},
{
"authorId": "1702551",
"name": "A. Mockus"
}
] | 349011c795d5a7e10ae8215a74ad3730ad35fb0a | [
"Although several approaches have been proposed to detect bots on social coding platforms [17, 19, 24, 25], they are limited to detecting bots in specific development activities."
] | [
"background"
] | false |
c6e1e2b00feca97b662fe67af434f090df3fc339 | An Exploratory Study of Bot Commits | 2,020 | 21 | [
{
"authorId": "8041820",
"name": "Tapajit Dey"
},
{
"authorId": "2434621",
"name": "Bogdan Vasilescu"
},
{
"authorId": "1702551",
"name": "A. Mockus"
}
] | 8bd3a130e82b672aaea40e7752eab9c270f0615a | [] | [] | false |
c6e1e2b00feca97b662fe67af434f090df3fc339 | An Exploratory Study of Bot Commits | 2,020 | 21 | [
{
"authorId": "8041820",
"name": "Tapajit Dey"
},
{
"authorId": "2434621",
"name": "Bogdan Vasilescu"
},
{
"authorId": "1702551",
"name": "A. Mockus"
}
] | 2eb38715880c8d680c5e15ccb8a3854959ca1458 | [
"When constructing the dataset, we removed commit messages generated by known bots [7, 22, 23, 27].",
"Based on the patterns identified by existing work [7, 22, 23, 27], these bot messages can be easily identified and filtered."
] | [
"methodology",
"background"
] | false |
c6e1e2b00feca97b662fe67af434f090df3fc339 | An Exploratory Study of Bot Commits | 2,020 | 21 | [
{
"authorId": "8041820",
"name": "Tapajit Dey"
},
{
"authorId": "2434621",
"name": "Bogdan Vasilescu"
},
{
"authorId": "1702551",
"name": "A. Mockus"
}
] | 56f1ce9f5d440fc7fcdca4517422aa31a4e226bf | [
"Looking deeper into the code created during the hackathons, it might also be interesting to see to what extent the teams use bots [18], [19] which might aid in the understanding of hackathon code reuse as well."
] | [
"background"
] | false |
c6e1e2b00feca97b662fe67af434f090df3fc339 | An Exploratory Study of Bot Commits | 2,020 | 21 | [
{
"authorId": "8041820",
"name": "Tapajit Dey"
},
{
"authorId": "2434621",
"name": "Bogdan Vasilescu"
},
{
"authorId": "1702551",
"name": "A. Mockus"
}
] | 232b5ab7726a5c4f1f686b0eb09889e3932a81b7 | [
"The majority of bots seem to frequently perform similar tasks, mainly updating configuration, documentation and data [8]."
] | [
"background"
] | false |
c6e1e2b00feca97b662fe67af434f090df3fc339 | An Exploratory Study of Bot Commits | 2,020 | 21 | [
{
"authorId": "8041820",
"name": "Tapajit Dey"
},
{
"authorId": "2434621",
"name": "Bogdan Vasilescu"
},
{
"authorId": "1702551",
"name": "A. Mockus"
}
] | c5a850f50a95a56cf7000425c8bb59e87f80d6ee | [
"Looking deeper into the code created during the hackathons, it might also be interesting to see to what extent the teams use bots [55], [56] which might aid in the understanding of hackathon code reuse as well."
] | [
"background"
] | false |
c6e1e2b00feca97b662fe67af434f090df3fc339 | An Exploratory Study of Bot Commits | 2,020 | 21 | [
{
"authorId": "8041820",
"name": "Tapajit Dey"
},
{
"authorId": "2434621",
"name": "Bogdan Vasilescu"
},
{
"authorId": "1702551",
"name": "A. Mockus"
}
] | 2387ca79a14e543014df76db93b169bdb6da2dca | [
"[12], in their invited paper “An Exploratory Study of Bot Commits,” examined 12,326,137 commits made by 461 popular bots (that made at least 1,000 commits) to identify the frequency and the type of files added/deleted/modified by the commits."
] | [
"background"
] | false |
c6e1e2b00feca97b662fe67af434f090df3fc339 | An Exploratory Study of Bot Commits | 2,020 | 21 | [
{
"authorId": "8041820",
"name": "Tapajit Dey"
},
{
"authorId": "2434621",
"name": "Bogdan Vasilescu"
},
{
"authorId": "1702551",
"name": "A. Mockus"
}
] | 12404a5147b39e9a34849606bf2c056f84903c8d | [
"A method of representing the medium-granularity expertise of developers usinga“skillspace” based on the APIs they use, and its usefulness in addressing anumber of important SE research questions was explored in Dey et al. (2020c).",
"We also compiled a dataset with information about 461 bots, detected by BIMAN a... | [
"methodology",
"background"
] | true |
c6e1e2b00feca97b662fe67af434f090df3fc339 | An Exploratory Study of Bot Commits | 2,020 | 21 | [
{
"authorId": "8041820",
"name": "Tapajit Dey"
},
{
"authorId": "2434621",
"name": "Bogdan Vasilescu"
},
{
"authorId": "1702551",
"name": "A. Mockus"
}
] | abe78288366f7b38149ca0853daa65a4d1b71214 | [
"4) observed in our study could be due to the presence of bots in the dataset that behave differently from human developers [13, 14]."
] | [
"background"
] | false |
c6e1e2b00feca97b662fe67af434f090df3fc339 | An Exploratory Study of Bot Commits | 2,020 | 21 | [
{
"authorId": "8041820",
"name": "Tapajit Dey"
},
{
"authorId": "2434621",
"name": "Bogdan Vasilescu"
},
{
"authorId": "1702551",
"name": "A. Mockus"
}
] | d558e0171d1cb60071ec5d55c222823005141067 | [
"Further application of our approach might include: a) detecting if a developer is actually a bot by analyzing the concentration of their skill vector (similar to [48], [49]); b) checking the alignment between skill vectors of different developers for identity resolution (similar to [46]); c) analyzing the skill ve... | [
"methodology"
] | false |
c6e1e2b00feca97b662fe67af434f090df3fc339 | An Exploratory Study of Bot Commits | 2,020 | 21 | [
{
"authorId": "8041820",
"name": "Tapajit Dey"
},
{
"authorId": "2434621",
"name": "Bogdan Vasilescu"
},
{
"authorId": "1702551",
"name": "A. Mockus"
}
] | c8d40343dfc0654154e42717209e1d6ab70ebc01 | [
"It can also be particularly useful in the context of bot detection [9, 10] and predicting which pull requests will be merged [8]."
] | [
"background"
] | false |
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