Characterizing industry-academia collaborations in software engineering: evidence from 101 projects
Autor(a) principal: | |
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Data de Publicação: | 2019 |
Outros Autores: | , , , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/1822/66602 |
Resumo: | Research collaboration between industry and academia supports improvement and innovation in industry and helps ensure the industrial relevance of academic research. However, many researchers and practitioners in the community believe that the level of joint industry-academia collaboration (IAC) projects in Software Engineering (SE) research is relatively low, creating a barrier between research and practice. The goal of the empirical study reported in this paper is to explore and characterize the state of IAC with respect to industrial needs, developed solutions, impacts of the projects and also a set of challenges, patterns and anti-patterns identified by a recent Systematic Literature Review (SLR) study. To address the above goal, we conducted an opinion survey among researchers and practitioners with respect to their experience in IAC. Our dataset includes 101 data points from IAC projects conducted in 21 different countries. Our findings include: (1) the most popular topics of the IAC projects, in the dataset, are: software testing, quality, process, and project managements; (2) over 90% of IAC projects result in at least one publication; (3) almost 50% of IACs are initiated by industry, busting the myth that industry tends to avoid IACs; and (4) 61% of the IAC projects report having a positive impact on their industrial context, while 31% report no noticeable impacts or were “not sure”. To improve this situation, we present evidence-based recommendations to increase the success of IAC projects, such as the importance of testing pilot solutions before using them in industry. This study aims to contribute to the body of evidence in the area of IAC, and benefit researchers and practitioners. Using the data and evidence presented in this paper, they can conduct more successful IAC projects in SE by being aware of the challenges and how to overcome them, by applying best practices (patterns), and by preventing anti-patterns. |
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Characterizing industry-academia collaborations in software engineering: evidence from 101 projectsSoftware engineeringIndustry-academia collaborationsChallengesPatternsBest practicesAnti-patternsEmpirical studyEvidenceEngenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e InformáticaScience & TechnologyResearch collaboration between industry and academia supports improvement and innovation in industry and helps ensure the industrial relevance of academic research. However, many researchers and practitioners in the community believe that the level of joint industry-academia collaboration (IAC) projects in Software Engineering (SE) research is relatively low, creating a barrier between research and practice. The goal of the empirical study reported in this paper is to explore and characterize the state of IAC with respect to industrial needs, developed solutions, impacts of the projects and also a set of challenges, patterns and anti-patterns identified by a recent Systematic Literature Review (SLR) study. To address the above goal, we conducted an opinion survey among researchers and practitioners with respect to their experience in IAC. Our dataset includes 101 data points from IAC projects conducted in 21 different countries. Our findings include: (1) the most popular topics of the IAC projects, in the dataset, are: software testing, quality, process, and project managements; (2) over 90% of IAC projects result in at least one publication; (3) almost 50% of IACs are initiated by industry, busting the myth that industry tends to avoid IACs; and (4) 61% of the IAC projects report having a positive impact on their industrial context, while 31% report no noticeable impacts or were “not sure”. To improve this situation, we present evidence-based recommendations to increase the success of IAC projects, such as the importance of testing pilot solutions before using them in industry. This study aims to contribute to the body of evidence in the area of IAC, and benefit researchers and practitioners. Using the data and evidence presented in this paper, they can conduct more successful IAC projects in SE by being aware of the challenges and how to overcome them, by applying best practices (patterns), and by preventing anti-patterns.The authors would like to thank the researchers and practitioners who participated in this survey. João M. Fernandes was supported by FCT (Fundação para a Ciência e Tecnologia) within the Project Scope UID/CEC/00319/2013. Dietmar Pfahl was supported by the institutional research grant IUT20-55 of the Estonian Research Council. Andrea Arcuri was supported by the Research Council of Norway (grant agreement No 274385). Mika Mäntylä was partially supported by Academy of Finland grant and ITEA3 / TEKES grant.SpringerUniversidade do MinhoGarousi, VahidPfahl, DietmarFernandes, João M.Felderer, MichaelMäntylä, Mika V.Shepherd, DavidArcuri, AndreaCoşkunçay, AhmetTekinerdogan, Bedir20192019-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/1822/66602engGarousi V, Pfahl D, Fernandes JM, Felderer M, Mäntylä MV, Shepherd D, Arcuri A, Coşkunçay A e Tekinerdogan B; Characterizing industry-academia collaborations in software engineering: Evidence from 101 projects, Empirical Software Engineering 24(4):2540-2602, Springer, ago/20191382-325610.1007/s10664-019-09711-yhttp://link.springer.com/article/10.1007/s10664-019-09711-yinfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-07-21T12:11:08Zoai:repositorium.sdum.uminho.pt:1822/66602Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T19:02:50.815025Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Characterizing industry-academia collaborations in software engineering: evidence from 101 projects |
title |
Characterizing industry-academia collaborations in software engineering: evidence from 101 projects |
spellingShingle |
Characterizing industry-academia collaborations in software engineering: evidence from 101 projects Garousi, Vahid Software engineering Industry-academia collaborations Challenges Patterns Best practices Anti-patterns Empirical study Evidence Engenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informática Science & Technology |
title_short |
Characterizing industry-academia collaborations in software engineering: evidence from 101 projects |
title_full |
Characterizing industry-academia collaborations in software engineering: evidence from 101 projects |
title_fullStr |
Characterizing industry-academia collaborations in software engineering: evidence from 101 projects |
title_full_unstemmed |
Characterizing industry-academia collaborations in software engineering: evidence from 101 projects |
title_sort |
Characterizing industry-academia collaborations in software engineering: evidence from 101 projects |
author |
Garousi, Vahid |
author_facet |
Garousi, Vahid Pfahl, Dietmar Fernandes, João M. Felderer, Michael Mäntylä, Mika V. Shepherd, David Arcuri, Andrea Coşkunçay, Ahmet Tekinerdogan, Bedir |
author_role |
author |
author2 |
Pfahl, Dietmar Fernandes, João M. Felderer, Michael Mäntylä, Mika V. Shepherd, David Arcuri, Andrea Coşkunçay, Ahmet Tekinerdogan, Bedir |
author2_role |
author author author author author author author author |
dc.contributor.none.fl_str_mv |
Universidade do Minho |
dc.contributor.author.fl_str_mv |
Garousi, Vahid Pfahl, Dietmar Fernandes, João M. Felderer, Michael Mäntylä, Mika V. Shepherd, David Arcuri, Andrea Coşkunçay, Ahmet Tekinerdogan, Bedir |
dc.subject.por.fl_str_mv |
Software engineering Industry-academia collaborations Challenges Patterns Best practices Anti-patterns Empirical study Evidence Engenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informática Science & Technology |
topic |
Software engineering Industry-academia collaborations Challenges Patterns Best practices Anti-patterns Empirical study Evidence Engenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informática Science & Technology |
description |
Research collaboration between industry and academia supports improvement and innovation in industry and helps ensure the industrial relevance of academic research. However, many researchers and practitioners in the community believe that the level of joint industry-academia collaboration (IAC) projects in Software Engineering (SE) research is relatively low, creating a barrier between research and practice. The goal of the empirical study reported in this paper is to explore and characterize the state of IAC with respect to industrial needs, developed solutions, impacts of the projects and also a set of challenges, patterns and anti-patterns identified by a recent Systematic Literature Review (SLR) study. To address the above goal, we conducted an opinion survey among researchers and practitioners with respect to their experience in IAC. Our dataset includes 101 data points from IAC projects conducted in 21 different countries. Our findings include: (1) the most popular topics of the IAC projects, in the dataset, are: software testing, quality, process, and project managements; (2) over 90% of IAC projects result in at least one publication; (3) almost 50% of IACs are initiated by industry, busting the myth that industry tends to avoid IACs; and (4) 61% of the IAC projects report having a positive impact on their industrial context, while 31% report no noticeable impacts or were “not sure”. To improve this situation, we present evidence-based recommendations to increase the success of IAC projects, such as the importance of testing pilot solutions before using them in industry. This study aims to contribute to the body of evidence in the area of IAC, and benefit researchers and practitioners. Using the data and evidence presented in this paper, they can conduct more successful IAC projects in SE by being aware of the challenges and how to overcome them, by applying best practices (patterns), and by preventing anti-patterns. |
publishDate |
2019 |
dc.date.none.fl_str_mv |
2019 2019-01-01T00:00:00Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/1822/66602 |
url |
http://hdl.handle.net/1822/66602 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Garousi V, Pfahl D, Fernandes JM, Felderer M, Mäntylä MV, Shepherd D, Arcuri A, Coşkunçay A e Tekinerdogan B; Characterizing industry-academia collaborations in software engineering: Evidence from 101 projects, Empirical Software Engineering 24(4):2540-2602, Springer, ago/2019 1382-3256 10.1007/s10664-019-09711-y http://link.springer.com/article/10.1007/s10664-019-09711-y |
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info:eu-repo/semantics/openAccess |
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openAccess |
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application/pdf |
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Springer |
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Springer |
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