Grey Literature in Software Engineering: A Critical Review
Context: Grey Literature (GL) recently has grown in Software Engineering (SE) research since the increased use of online communication channels by software engineers. However, there is still a limited understanding of how SE research is taking advantage of GL. Objective: This research aimed to under...
Gespeichert in:
Veröffentlicht in: | arXiv.org 2021-05 |
---|---|
Hauptverfasser: | , , , , , , , , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | |
---|---|
container_issue | |
container_start_page | |
container_title | arXiv.org |
container_volume | |
creator | Kamei, Fernando Wiese, Igor Lima, Crescencio Polato, Ivanilton Nepomuceno, Vilmar Ferreira, Waldemar Ribeiro, Márcio Pena, Carolline Cartaxo, Bruno Pinto, Gustavo Soares, Sérgio |
description | Context: Grey Literature (GL) recently has grown in Software Engineering (SE) research since the increased use of online communication channels by software engineers. However, there is still a limited understanding of how SE research is taking advantage of GL. Objective: This research aimed to understand how SE researchers use GL in their secondary studies. Method: We conducted a tertiary study of studies published between 2011 and 2018 in high-quality software engineering conferences and journals. We then applied qualitative and quantitative analysis to investigate 446 potential studies. Results: From the 446 selected studies, 126 studies cited GL but only 95 of those used GL to answer a specific research question representing almost 21% of all the 446 secondary studies. Interestingly, we identified that few studies employed specific search mechanisms and used additional criteria for assessing GL. Moreover, by the time we conducted this research, 49% of the GL URLs are not working anymore. Based on our findings, we discuss some challenges in using GL and potential mitigation plans. Conclusion: In this paper, we summarized the last 10 years of software engineering research that uses GL, showing that GL has been essential for bringing practical new perspectives that are scarce in traditional literature. By drawing the current landscape of use, we also raise some awareness of related challenges (and strategies to deal with them). |
format | Article |
fullrecord | <record><control><sourceid>proquest</sourceid><recordid>TN_cdi_proquest_journals_2519563223</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2519563223</sourcerecordid><originalsourceid>FETCH-proquest_journals_25195632233</originalsourceid><addsrcrecordid>eNpjYuA0MjY21LUwMTLiYOAtLs4yMDAwMjM3MjU15mSwci9KrVTwySxJLUosKS1KVcjMUwjOTyspTwSyXfPSM_NSU4sy89KtFBwVnIsySzKTE3MUglLLMlPLeRhY0xJzilN5oTQ3g7Kba4izh25BUX5haWpxSXxWfmlRHlAq3sjU0NLUzNgI6BDiVAEAhiU2SA</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2519563223</pqid></control><display><type>article</type><title>Grey Literature in Software Engineering: A Critical Review</title><source>Free E- Journals</source><creator>Kamei, Fernando ; Wiese, Igor ; Lima, Crescencio ; Polato, Ivanilton ; Nepomuceno, Vilmar ; Ferreira, Waldemar ; Ribeiro, Márcio ; Pena, Carolline ; Cartaxo, Bruno ; Pinto, Gustavo ; Soares, Sérgio</creator><creatorcontrib>Kamei, Fernando ; Wiese, Igor ; Lima, Crescencio ; Polato, Ivanilton ; Nepomuceno, Vilmar ; Ferreira, Waldemar ; Ribeiro, Márcio ; Pena, Carolline ; Cartaxo, Bruno ; Pinto, Gustavo ; Soares, Sérgio</creatorcontrib><description>Context: Grey Literature (GL) recently has grown in Software Engineering (SE) research since the increased use of online communication channels by software engineers. However, there is still a limited understanding of how SE research is taking advantage of GL. Objective: This research aimed to understand how SE researchers use GL in their secondary studies. Method: We conducted a tertiary study of studies published between 2011 and 2018 in high-quality software engineering conferences and journals. We then applied qualitative and quantitative analysis to investigate 446 potential studies. Results: From the 446 selected studies, 126 studies cited GL but only 95 of those used GL to answer a specific research question representing almost 21% of all the 446 secondary studies. Interestingly, we identified that few studies employed specific search mechanisms and used additional criteria for assessing GL. Moreover, by the time we conducted this research, 49% of the GL URLs are not working anymore. Based on our findings, we discuss some challenges in using GL and potential mitigation plans. Conclusion: In this paper, we summarized the last 10 years of software engineering research that uses GL, showing that GL has been essential for bringing practical new perspectives that are scarce in traditional literature. By drawing the current landscape of use, we also raise some awareness of related challenges (and strategies to deal with them).</description><identifier>EISSN: 2331-8422</identifier><language>eng</language><publisher>Ithaca: Cornell University Library, arXiv.org</publisher><subject>Engineering research ; Grey literature ; Literature reviews ; Qualitative analysis ; Software engineering</subject><ispartof>arXiv.org, 2021-05</ispartof><rights>2021. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>780,784</link.rule.ids></links><search><creatorcontrib>Kamei, Fernando</creatorcontrib><creatorcontrib>Wiese, Igor</creatorcontrib><creatorcontrib>Lima, Crescencio</creatorcontrib><creatorcontrib>Polato, Ivanilton</creatorcontrib><creatorcontrib>Nepomuceno, Vilmar</creatorcontrib><creatorcontrib>Ferreira, Waldemar</creatorcontrib><creatorcontrib>Ribeiro, Márcio</creatorcontrib><creatorcontrib>Pena, Carolline</creatorcontrib><creatorcontrib>Cartaxo, Bruno</creatorcontrib><creatorcontrib>Pinto, Gustavo</creatorcontrib><creatorcontrib>Soares, Sérgio</creatorcontrib><title>Grey Literature in Software Engineering: A Critical Review</title><title>arXiv.org</title><description>Context: Grey Literature (GL) recently has grown in Software Engineering (SE) research since the increased use of online communication channels by software engineers. However, there is still a limited understanding of how SE research is taking advantage of GL. Objective: This research aimed to understand how SE researchers use GL in their secondary studies. Method: We conducted a tertiary study of studies published between 2011 and 2018 in high-quality software engineering conferences and journals. We then applied qualitative and quantitative analysis to investigate 446 potential studies. Results: From the 446 selected studies, 126 studies cited GL but only 95 of those used GL to answer a specific research question representing almost 21% of all the 446 secondary studies. Interestingly, we identified that few studies employed specific search mechanisms and used additional criteria for assessing GL. Moreover, by the time we conducted this research, 49% of the GL URLs are not working anymore. Based on our findings, we discuss some challenges in using GL and potential mitigation plans. Conclusion: In this paper, we summarized the last 10 years of software engineering research that uses GL, showing that GL has been essential for bringing practical new perspectives that are scarce in traditional literature. By drawing the current landscape of use, we also raise some awareness of related challenges (and strategies to deal with them).</description><subject>Engineering research</subject><subject>Grey literature</subject><subject>Literature reviews</subject><subject>Qualitative analysis</subject><subject>Software engineering</subject><issn>2331-8422</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><recordid>eNpjYuA0MjY21LUwMTLiYOAtLs4yMDAwMjM3MjU15mSwci9KrVTwySxJLUosKS1KVcjMUwjOTyspTwSyXfPSM_NSU4sy89KtFBwVnIsySzKTE3MUglLLMlPLeRhY0xJzilN5oTQ3g7Kba4izh25BUX5haWpxSXxWfmlRHlAq3sjU0NLUzNgI6BDiVAEAhiU2SA</recordid><startdate>20210512</startdate><enddate>20210512</enddate><creator>Kamei, Fernando</creator><creator>Wiese, Igor</creator><creator>Lima, Crescencio</creator><creator>Polato, Ivanilton</creator><creator>Nepomuceno, Vilmar</creator><creator>Ferreira, Waldemar</creator><creator>Ribeiro, Márcio</creator><creator>Pena, Carolline</creator><creator>Cartaxo, Bruno</creator><creator>Pinto, Gustavo</creator><creator>Soares, Sérgio</creator><general>Cornell University Library, arXiv.org</general><scope>8FE</scope><scope>8FG</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>HCIFZ</scope><scope>L6V</scope><scope>M7S</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope></search><sort><creationdate>20210512</creationdate><title>Grey Literature in Software Engineering: A Critical Review</title><author>Kamei, Fernando ; Wiese, Igor ; Lima, Crescencio ; Polato, Ivanilton ; Nepomuceno, Vilmar ; Ferreira, Waldemar ; Ribeiro, Márcio ; Pena, Carolline ; Cartaxo, Bruno ; Pinto, Gustavo ; Soares, Sérgio</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-proquest_journals_25195632233</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Engineering research</topic><topic>Grey literature</topic><topic>Literature reviews</topic><topic>Qualitative analysis</topic><topic>Software engineering</topic><toplevel>online_resources</toplevel><creatorcontrib>Kamei, Fernando</creatorcontrib><creatorcontrib>Wiese, Igor</creatorcontrib><creatorcontrib>Lima, Crescencio</creatorcontrib><creatorcontrib>Polato, Ivanilton</creatorcontrib><creatorcontrib>Nepomuceno, Vilmar</creatorcontrib><creatorcontrib>Ferreira, Waldemar</creatorcontrib><creatorcontrib>Ribeiro, Márcio</creatorcontrib><creatorcontrib>Pena, Carolline</creatorcontrib><creatorcontrib>Cartaxo, Bruno</creatorcontrib><creatorcontrib>Pinto, Gustavo</creatorcontrib><creatorcontrib>Soares, Sérgio</creatorcontrib><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Engineering Collection</collection><collection>Engineering Database</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Engineering Collection</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Kamei, Fernando</au><au>Wiese, Igor</au><au>Lima, Crescencio</au><au>Polato, Ivanilton</au><au>Nepomuceno, Vilmar</au><au>Ferreira, Waldemar</au><au>Ribeiro, Márcio</au><au>Pena, Carolline</au><au>Cartaxo, Bruno</au><au>Pinto, Gustavo</au><au>Soares, Sérgio</au><format>book</format><genre>document</genre><ristype>GEN</ristype><atitle>Grey Literature in Software Engineering: A Critical Review</atitle><jtitle>arXiv.org</jtitle><date>2021-05-12</date><risdate>2021</risdate><eissn>2331-8422</eissn><abstract>Context: Grey Literature (GL) recently has grown in Software Engineering (SE) research since the increased use of online communication channels by software engineers. However, there is still a limited understanding of how SE research is taking advantage of GL. Objective: This research aimed to understand how SE researchers use GL in their secondary studies. Method: We conducted a tertiary study of studies published between 2011 and 2018 in high-quality software engineering conferences and journals. We then applied qualitative and quantitative analysis to investigate 446 potential studies. Results: From the 446 selected studies, 126 studies cited GL but only 95 of those used GL to answer a specific research question representing almost 21% of all the 446 secondary studies. Interestingly, we identified that few studies employed specific search mechanisms and used additional criteria for assessing GL. Moreover, by the time we conducted this research, 49% of the GL URLs are not working anymore. Based on our findings, we discuss some challenges in using GL and potential mitigation plans. Conclusion: In this paper, we summarized the last 10 years of software engineering research that uses GL, showing that GL has been essential for bringing practical new perspectives that are scarce in traditional literature. By drawing the current landscape of use, we also raise some awareness of related challenges (and strategies to deal with them).</abstract><cop>Ithaca</cop><pub>Cornell University Library, arXiv.org</pub><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | EISSN: 2331-8422 |
ispartof | arXiv.org, 2021-05 |
issn | 2331-8422 |
language | eng |
recordid | cdi_proquest_journals_2519563223 |
source | Free E- Journals |
subjects | Engineering research Grey literature Literature reviews Qualitative analysis Software engineering |
title | Grey Literature in Software Engineering: A Critical Review |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-20T20%3A59%3A51IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest&rft_val_fmt=info:ofi/fmt:kev:mtx:book&rft.genre=document&rft.atitle=Grey%20Literature%20in%20Software%20Engineering:%20A%20Critical%20Review&rft.jtitle=arXiv.org&rft.au=Kamei,%20Fernando&rft.date=2021-05-12&rft.eissn=2331-8422&rft_id=info:doi/&rft_dat=%3Cproquest%3E2519563223%3C/proquest%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2519563223&rft_id=info:pmid/&rfr_iscdi=true |