Agile Collaborative Research: Action Principles for Industry-Academia Collaboration

Sandberg, Anna; Pareto, Lars; Arts, Thomas

doi:10.1109/ms.2011.49

Cited by 99 publications

(94 citation statements)

References 12 publications

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“…The work in [51] presented a collaboration model for industry-academia collaborative practice research which includes 10 factors for ensuring success and 10 action principles for collaboration management.…”

Section: Rq1 -Collaboration Modelsmentioning

confidence: 99%

“…Furthermore, the differences in objectives [56,55,51] (C22), reward systems [46,23,48] (C25), and what is perceived as useful (C23) hinder to establish collaborations. For example, Glass and Hunt [57] point out that only few researchers would be interested in doing the development ("D") of R&D. With regard to rewards, it was pointed out that academia does not value industry impact and that there is no academic reward for industry collaborations and success [58,45].…”

Section: Problem Formulationmentioning

confidence: 99%

“…Different stakeholders need to commit, in particular company management is of importance [51,45,61,57,48,60,42,46]. An important means to gain commitment is the ability to communicate well in early meetings (BP18), the most frequently mentioned best practice.…”

Section: Problem Formulationmentioning

confidence: 99%

“…'Proper' topic selection (BP19) is of importance early in the process [56,23] and topics need to be prioritized [51]. To choose a topic of interest, the problems of the companies have to be well understood.…”

Section: Problem Formulationmentioning

confidence: 99%

“…Setting goals for research projects with academia and industry was reported as challenging (C48), industry-academia research projects lack clear directions [51] (C26). In research, there is no guarantee for success of improvements [46], while success is a requirement for companies to collaborate [45,53].…”

Section: Planningmentioning

confidence: 99%

See 4 more Smart Citations

Challenges and best practices in industry-academia collaborations in software engineering: A systematic literature review

Garousi

Petersen

Özkan

2016

Information and Software Technology

192

182

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Section: Rq1 -Collaboration Modelsmentioning

confidence: 99%

Section: Problem Formulationmentioning

confidence: 99%

Section: Problem Formulationmentioning

confidence: 99%

Section: Problem Formulationmentioning

confidence: 99%

Section: Planningmentioning

confidence: 99%

See 3 more Smart Citations

Challenges and best practices in industry-academia collaborations in software engineering: A systematic literature review

Garousi

Petersen

Özkan

2016

Information and Software Technology

192

182

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Exploring the industry's challenges in software testing: An empirical study

Garousi

Felderer

Kuhrmann

et al. 2020

J Software Evolu Process

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ContextSoftware testing is an important and costly software engineering activity in the industry. Despite the efforts of the software testing research community in the last several decades, various studies show that still many practitioners in the industry report challenges in their software testing tasks.ObjectiveTo shed light on industry's challenges in software testing, we characterize and synthesize the challenges reported by practitioners. Such concrete challenges can then be used for a variety of purposes, eg, research collaborations between industry and academia.MethodOur empirical research method is opinion survey. By designing an online survey, we solicited practitioners' opinions about their challenges in different testing activities. Our dataset includes data from 72 practitioners from eight different countries.ResultsOur results show that test management and test automation are considered the most challenging among all testing activities by practitioners. Our results also include a set of 104 concrete challenges in software testing that may need further investigations by the research community.ConclusionWe conclude that the focal points of industrial work and academic research in software testing differ. Furthermore, the paper at hand provides valuable insights concerning practitioners' “pain” points and, thus, provides researchers with a source of important research topics of high practical relevance.

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A case study of industry–academia communication in a joint software engineering research project

Rico

Bjarnason

Engström

et al. 2021

J Software Evolu Process

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Empirical software engineering research relies on good communication with industrial partners. Conducting joint research both requires and contributes to bridging the communication gap between industry and academia (IA) in software engineering. This study aims to explore communication between the two parties in such a setting. To better understand what facilitates good IA communication and what project outcomes such communication promotes, we performed a case study, in the context of a long-term IA joint project, followed by a validating survey among practitioners and researchers with experience of working in similar settings. We identified five facilitators of IA communication and nine project outcomes related to this communication. The facilitators concern the relevance of the research, practitioners' attitude and involvement in research, frequency of communication and longevity of the collaboration. The project outcomes promoted by this communication include, for researchers, changes in teaching and new scientific venues, and for practitioners, increased awareness, changes to practice, and new tools and source code. Besides, both parties gain new knowledge and develop social-networks through IA communication. Our study presents empirically based insights that can provide advise on how to improve communication in IA research projects and thus the co-creation of software engineering knowledge that is anchored in both practice and research.

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Agile Collaborative Research: Action Principles for Industry-Academia Collaboration

Cited by 99 publications

References 12 publications

Challenges and best practices in industry-academia collaborations in software engineering: A systematic literature review

Challenges and best practices in industry-academia collaborations in software engineering: A systematic literature review

Exploring the industry's challenges in software testing: An empirical study

A case study of industry–academia communication in a joint software engineering research project

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