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Article Education With Experience: Assessment of a Co-Op Model in Undergraduate Engineering Programs in Computing(Ieee Computer Soc, 2023) Nazlioglu, Selma; Turhan, Cigdem; Yazici, AliA major concern among graduates of computing departments is the discrepancy between the expectations of software companies and the competencies provided by the academic departments. This ongoing problem makes co-op education inevitable, as it combines industrial experience with traditional education.Article Citation - WoS: 15Citation - Scopus: 21Software Engineering Education: Some Important Dimensions(Taylor & Francis Ltd, 2007) Mishra, Alok; Cagiltay, Nergiz Ercil; Kilic, OzkanSoftware engineering education has been emerging as an independent and mature discipline. Accordingly, various studies are being done to provide guidelines for curriculum design. The main focus of these guidelines is around core and foundation courses. This paper summarizes the current problems of software engineering education programs. It also proposes some important dimensions as integral parts of software engineering education: interdisciplinary skills, practice experience, communication, skills on continuing education and professionalism. In the current guidelines and studies these dimensions are not addressed specifically. Although there could be other dimensions to be considered in software engineering education, we believe that the proposed ones are very crucial as software engineering is evolving more rapidly than any other engineering discipline. This study also provides a survey of some major universities' undergraduate software engineering programs to evaluate these dimensions.Review Citation - WoS: 145Citation - Scopus: 189Challenges and Best Practices in Industry-Academia Collaborations in Software Engineering: a Systematic Literature Review(Elsevier, 2016) Garousi, Vahid; Petersen, Kai; Ozkan, BarisContext: The global software industry and the software engineering (SE) academia are two large communities. However, unfortunately, the level of joint industry-academia collaborations in SE is still relatively very low, compared to the amount of activity in each of the two communities. It seems that the two 'camps' show only limited interest/motivation to collaborate with one other. Many researchers and practitioners have written about the challenges, success patterns (what to do, i.e., how to collaborate) and anti-patterns (what not do do) for industry-academia collaborations. Objective: To identify (a) the challenges to avoid risks to the collaboration by being aware of the challenges, (b) the best practices to provide an inventory of practices (patterns) allowing for an informed choice of practices to use when planning and conducting collaborative projects. Method: A systematic review has been conducted. Synthesis has been done using grounded-theory based coding procedures. Results: Through thematic analysis we identified 10 challenge themes and 17 best practice themes. A key outcome was the inventory of best practices, the most common ones recommended in different contexts were to hold regular workshops and seminars with industry, assure continuous learning from industry and academic sides, ensure management engagement, the need for a champion, basing research on real world problems, showing explicit benefits to the industry partner, be agile during the collaboration, and the co-location of the researcher on the industry side. Conclusion: Given the importance of industry-academia collaboration to conduct research of high practical relevance we provide a synthesis of challenges and best practices, which can be used by researchers and practitioners to make informed decisions on how to structure their collaborations. (C) 2016 Elsevier B.V. All rights reserved.
