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10 results for “Mining History”
Historians' Perspectives of the Importance and Impact of Mining History Scholarship
<p>In 2019, Eric C. Nystrom (Arizona State University) and Brian James Leech (Augustana College) conducted a survey of self-identified mining historians to determine their preferences for mining history scholarship. Our survey asked voluntary respondents to list their top three "classic" books in mining history, and also their top three "recent" mining history books. Respondents were also given an opportunity for optional comments, to accompany their choices. Basic demographic data about occupation, occupation status, and geographic location were collected. Geographic data was aggregated to remove personally identifying information.</p> <p>All responses were voluntary and anonymous. 40 complete responses were received, and 134 distinct books were mentioned. The data was then regularized, and complete bibliographic data generated. When a book has been issued in multiple editions, the first edition was used, unless a different edition was explicitly specified by the respondent.</p> <p><strong>Included files</strong></p> <p>This data release contains:</p> <ul> <li>Spreadsheet of responses (TSV), with responses regularized by BibTeX tag, geography grouped to prevent identification, and private comments removed (all in accordance with IRB)</li> <li>Bibliography of all books mentioned as either "classic" or "recent" works by study respondents, in Chicago format, alphabetical by author last name (PDF)</li> <li>BibTeX file containing complete bibliography of all books mentioned by respondents</li> </ul> <p><strong>Publications</strong></p> <p>The survey results were analyzed in the following works:</p> <p>Brian James Leech and Eric C. Nystrom, "Surveying the Minds: New Trends and Key Classics in Mining History," <em>Mining History Journal</em> 27 (2020): forthcoming.</p> <p>Brian James Leech and Eric C. Nystrom, "Surveying the Minds: New Trends and Key Classics in Mining History," paper presented at the Mining History Association Conference, Marquette, MI, June 8, 2019.</p> <p><strong>Notes and Errata</strong></p> <ul> <li> <p>For Rodman Paul's <em>Mining Frontiers</em>, one respondent explicitly listed the 2001 Paul & West edition; all others were assumed to be the first edition from 1963.</p> </li> <li> <p>One respondent explicitly mentioned the Herbert and Lou Henry Hoover translation of Agricola's 1556 work <em>De re Metallica</em>; since this English translation is the one almost always used in the modern era, references to Agricola were regularized as the Hoover edition.</p> </li> <li> <p>In a handful of cases, multi-volume works were listed by respondents, and were thus entered in the bibliography this way. See e.g. Lingenfelter, <em>Bonanzas & Borrascas</em>.</p> </li> <li> <p>ASU IRB exemption # STUDY00009309; Augustana IRB exemption # 462452423.</p> </li> </ul>
Data set for the paper "What are the Effects of History Length and Age on Mining Software Change Impact?"
<p>Data set for the paper What are the Effects of History Length and Age on Mining Software Change Impact?<br> by Leon Moonen, Thomas Rolfsnes, David Binkley and Stefano di Alesio.<br> In Journal of Empirical Software Engineering (EMSE), 2018, Springer. https://doi.org/10.1007/s10664-017-9588-z<br> Available from https://evolveit.bitbucket.io/publications/emse2018/</p> <p>Please cite this work by referring to the corresponding journal publication (a preprint is included in this package).</p> <p>The goal of Software Change Impact Analysis is to identify artifacts (typically source-code files or individual methods therein) potentially affected by a change. Recently, there has been increased interest in <em>mining</em> software change impact based on evolutionary coupling. A particularly promising approach uses association rule mining to uncover potentially affected artifacts from patterns in the system’s change history. Two main considerations when using this approach are the <em>history length</em>, the number of transactions from the change history used to identify the impact of a change, and <em>history age</em>, the number of transactions that have occurred since patterns were last mined from the history. Although history length and age can significantly affect the quality of mining results, few guidelines exist on how to best select appropriate values for these two parameters.</p> <p>In this paper, we empirically investigate the effects of history length and age on the quality of change impact analysis using mined evolutionary coupling. Specifically, we report on a series of systematic experiments using three state-of-the-art mining algorithms that involve the change histories of two large industrial systems and 17 large open source systems. In these experiments, we vary the length and age of the history used to mine software change impact, and assess how this affects precision and applicability. Results from the study are used to derive practical guidelines for choosing history length and age when applying association rule mining to conduct software change impact analysis. </p>
Text-fig. 2. (A) Orientation of Schizocrania filosa (HALL, 1847) on articulated shells of benthic brachiopod Rafinesquina sp. (A1–A3 – on dorsal valve of articulated shells, A4 – on ventral valve of articulated shell; forward growth direction is unclear in three specimens) from Upper Ordovician, Corryville Formation, Lawrenceburg, Indiana (after www.drydredgers.org/scizo.htm). (B) Orientation of Schizocrania multistriata (REED, 1905) shells on outer face of conulariid Metaconularia imperialis test (Dobrotivá Formation, Kařízek mine, Barrandian area; after Havlíček and Vaněk 1996); preserved conulariid shell in white, suggested outline of incomplete conulariid test in grey. Arrows indicate direction of forward growth of Schizocrania specimens. in Schizocrania (Brachiopoda, Discinoidea): Taxonomy, Occurrence, Ecology And History Of The Earliest Epizoan Lingulate Brachiopod
Text-fig. 2. (A) Orientation of Schizocrania filosa (HALL, 1847) on articulated shells of benthic brachiopod Rafinesquina sp. (A1–A3 – on dorsal valve of articulated shells, A4 – on ventral valve of articulated shell; forward growth direction is unclear in three specimens) from Upper Ordovician, Corryville Formation, Lawrenceburg, Indiana (after www.drydredgers.org/scizo.htm). (B) Orientation of Schizocrania multistriata (REED, 1905) shells on outer face of conulariid Metaconularia imperialis test (Dobrotivá Formation, Kařízek mine, Barrandian area; after Havlíček and Vaněk 1996); preserved conulariid shell in white, suggested outline of incomplete conulariid test in grey. Arrows indicate direction of forward growth of Schizocrania specimens.
Figures 26–31 in Natural history of Cassida sphaerula Boheman, 1854 (Coleoptera: Chrysomelidae: Cassidinae: Cassidini) on Arctotheca prostrata (Salisb.) Britten (Asteraceae: Arctotidinae) in South Africa, with a checklist of South African Cassidinae (leaf-mining and tortoise beetles)
Figures 26–31. Pupa and adult of Cassida sphaerula (photos: S. Adam, September 2021). 26) Pupa, attached by venter of leaf, with shield comprising only exuviae of 5th instar. 27) Pupa with shield of exuviae I–V and feces. 28) Teneral adult is straw colored. 29–30) Mature adults are green, in copula. 31) Older adult with black spots on elytra.
Figures 9–15 in Natural history of Cassida sphaerula Boheman, 1854 (Coleoptera: Chrysomelidae: Cassidinae: Cassidini) on Arctotheca prostrata (Salisb.) Britten (Asteraceae: Arctotidinae) in South Africa, with a checklist of South African Cassidinae (leaf-mining and tortoise beetles)
Figures 9–15. Arctotheca prostrata with feeding damage by beetle, Cassida sphaerula Boheman, 1853 (photos: S. Adam, September 2021). 9) Intact leaf, dorsal view. 10) Intact leaf, ventral view. 11) Leaf, dorsal view, with window-pane pattern where beetles leave dorsal cuticle intact. 12) Leaf, ventral view, with craters left by beetle feeding damage. 13) Leaf with paired green adults (dorsal) and cream-colored larva showing blackish exuviofecal shield (held on caudal processes) and wet anal droplet to apply to shield. Note hirsute dorsal and ventral surfaces of host leaf. 14) Leaf with many feeding craters and single larva with exuvio-fecal shield; note feeding is only between veins. 15) Feeding craters, each with marginal cuticle roll.
Figures 7–8 in Natural history of Cassida sphaerula Boheman, 1854 (Coleoptera: Chrysomelidae: Cassidinae: Cassidini) on Arctotheca prostrata (Salisb.) Britten (Asteraceae: Arctotidinae) in South Africa, with a checklist of South African Cassidinae (leaf-mining and tortoise beetles)
Figures 7–8. Coastal area with extensive growth of Arctotheca prostrata, Goukamma Reserve, South Africa. Plants intact but soil disturbed by the activity of Cape dune mole-rat (Bathyergidae: Bathyerginae: Bathyergus suillus (Schreber, 1782)).
Figures 1–6 in Natural history of Cassida sphaerula Boheman, 1854 (Coleoptera: Chrysomelidae: Cassidinae: Cassidini) on Arctotheca prostrata (Salisb.) Britten (Asteraceae: Arctotidinae) in South Africa, with a checklist of South African Cassidinae (leaf-mining and tortoise beetles)
Figures 1–6. Arctotheca prostrata (Salisb.) Britten (Asteraceae) in its native habitat, South Africa (photos: S. Adam, September 2021). 1–4) Various sites on the farm Laaiplaats, Mossel Bay. 5) Leaves appear spotted due to beetle feeding damage, farm Laaiplaats. 6) Arctotheca calendula in Australia, showing how successfully these plants overtake bare soil (photo: Stephen D. Hopper).
Figures 21–25 in Natural history of Cassida sphaerula Boheman, 1854 (Coleoptera: Chrysomelidae: Cassidinae: Cassidini) on Arctotheca prostrata (Salisb.) Britten (Asteraceae: Arctotidinae) in South Africa, with a checklist of South African Cassidinae (leaf-mining and tortoise beetles)
Figures 21–25. Larva of Cassida sphaerula (photos: S. Adam, September 2021). 21) Young instar with lateral projections called scoli; shield removed to expose paired caudal processes. 22) Older instar (frontal view) with exuvio-fecal shield attached to caudal processes; feces appear dry. 23) Older instar with moist exuvio-fecal shield. 24) Older instar, dorsal view, with feces removed; legs and caudal processes of exuviae of previous instar apparent. 25) Hind end of older larva with dry exuvio-fecal shield. Paired caudal processes of previous instar are exposed, projecting dorsad. The caudal processes of this larva is hidden, stacked within the observable caudal processes.
Figures 16–18 in Natural history of Cassida sphaerula Boheman, 1854 (Coleoptera: Chrysomelidae: Cassidinae: Cassidini) on Arctotheca prostrata (Salisb.) Britten (Asteraceae: Arctotidinae) in South Africa, with a checklist of South African Cassidinae (leaf-mining and tortoise beetles)
Figures 16–18. Ootheca and young larvae of Cassida sphaerula (photos: S. Adam, September 2021). 16) Venter of host leaf with two oothecae (arrows) and two instar III with their black exuvio-fecal shields. 17) Ootheca (~2 mm long). 18) Ootheca with oval-shaped egg. 19) Two young instar 1 (~2 mm long) with tiny black shield composed entirely of its own feces. 20) Mature instar 1 with larger shield (reared from Fig. 19).
Data and material for: "Mining file histories: should we consider branches?"
<p>This repository is the online appendix of our paper:</p> <p>Vladimir Kovalenko, Fabio Palomba, and Alberto Bacchelli. 2018. Mining file histories: should we consider branches? In Proceedings of the 33rd ACM/IEEE International Conference on Automated Software Engineering (ASE 2018). Association for Computing Machinery, New York, NY, USA, 202–213. <a href="https://doi.org/10.1145/3238147.3238169">DOI</a></p> <p>The <code>results</code> folder contains full results per project for RQ1 and for the reviewer recommendation part of RQ2, as well as lists of projects used for the evaluation of defect prediction and change recommendation algorithms. The rest of the results are provided in the paper.</p> <p>The code that we have used to download and process the data (code reviews, repositories, and change recommendation) is located in the <code>processor</code> folder.</p> <p>The <code>processor</code> depends on <code>git2neo</code> -- a tool to load Git metadata to neo4j databases and retrieve the histories, which is described in Section III.B of the paper.<br> This release of <code>git2neo</code> is provided as is to facilitate the evaluation and reproducibility of our work.</p>
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