Bridging the gap: SE technology transfer into practice

Diebold, Philipp; Vetrò, Antonio

doi:10.1145/2652524.2652552

Cited by 10 publications

(23 citation statements)

References 12 publications

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“…Several works [26,14] explore means and information needs for successful transfer of technology from academia to industry. Among the findings are the need for information regarding the impact of technologies on product quality, cost, development time, and the preferred sources of information, such as colleagues, textbooks, and industry workshops.…”

Section: Related Workmentioning

confidence: 99%

The challenges of staying together while moving fast

Rubin

Rinard

2016

Proceedings of the 38th International Conference on Software Engineering

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We report on the results of an empirical study conducted with 35 experienced software developers from 22 high-tech companies, including Google, Facebook, Microsoft, Intel, and others. The goal of the study was to elicit challenges that these developers face, potential solutions that they envision to these challenges, and research initiatives that they think would deliver useful results.Challenges identified by the majority of the study participants relate to the collaborative nature of the work: the availability and discoverability of information, communication, collaborative planning and integration with work of others. Almost all participants also addressed the advantages and disadvantages of the current "fast to the market" trend, and the toll it takes on the quality of the software that they are able to deliver and on their professional and personal satisfaction as software engineers.We describe in depth the identified challenges, supporting our findings with explicit quotes from the study participants. We also put these findings in context of work done by the software engineering community and outline a roadmap for possible future research initiatives.

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Section: Related Workmentioning

confidence: 99%

The challenges of staying together while moving fast

Rubin

Rinard

2016

Proceedings of the 38th International Conference on Software Engineering

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“…Training practitioners to use the new technology is also a frequently mentioned factor for successful transfer (eg, Abernethy et al and Mubeen et al). Therefore, the importance of workshops and meetings to introduce new technologies to software developers is stressed in Diebold and Vetrò and Jedlitschka et al Another frequently mentioned aspect is positive results from cost‐benefit or risk analyses. Another important factor is the way the transfer takes place, ie, by which medium (eg, other studies).…”

Section: Resultsmentioning

confidence: 99%

“…We finally settled on the search string: (transfer) AND (industry OR practice) AND (academia OR university OR research) AND (“software engineering”), which found 20 papers, eight of which matched the ones we found manually. Figure illustrates the ratios between the relevant papers missed (light gray, ie, Rodríguez et al and Sharp et al), the relevant papers found (shaded, ie, previous studies), and the irrelevant papers found (dark gray) by automated search for the search string and also the ratios between the quasi‐gold standard (all papers found by manual search) and the (relevant and irrelevant) results from the automated search. With a sensitivity of 80% and a precision of 40% calculated based on the quasi‐gold standard, this search string can be considered of optimal sensitivity and high precision as defined by Zhang et al…”

Section: Methodsmentioning

confidence: 99%

Approaches, success factors, and barriers for technology transfer in software engineering—Results of a systematic literature review

Brings

Daun

Brinckmann

et al. 2018

J Software Evolu Process

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Introduction: Technology transfer aims at supporting the transfer of results from software engineering research from academia to industrial application.Objective: This paper reports on the current state of technology transfer in software engineering.Method: We conducted a systematic literature review, in which we investigated 3070 papers. We identified in total 70 relevant papers, which were subject of a detailed analysis.Results: Many different approaches are proposed to foster technology transfer in software engineering. The majority of these approaches suggest direct collaboration between industry and academia or teaching new technologies in industrial training or university education. In addition, a considerable number of experience reports on technology transfer exist. Hence, a multitude of best practices, success stories, and lessons learned is reported. Among others, empirical evidence, maturity, and adaptability of the technology seem important preconditions for successful transfer, while social and organizational factors seem important barriers to successful technology transfer.Conclusion: Our findings can aid software engineering researchers in determining how best to support the transfer of their research results into practice. Furthermore, analysis of the literature also revealed that no reports exist on the combination of various technology transfer approaches, which could increase advantages of existing approaches while reducing their disadvantages. KEYWORDS software engineering, systematic literature review, technology transfer 1 | BACKGROUND AND MOTIVATION Software engineering research aims at solving real-world problems (cf Wieringa 1 ) and demands the evaluation of a proposed solution in an industrial setting (cf Basili 2 and Salman et al 3 ). However, there is often still a gap between academic solution proposals and industrial needs, and for many results from software engineering research, it takes a long time to have an impact on software engineering practices. 4 This is not only due to the fact that novel results from academic research are often unknown to practitioners but also that those research results are often not directly applicable to industry. 5To close this gap, software engineering research also deals with technology transfer itself (cf Pfleeger 6 ). Technology transfer aims at supporting the transfer of research results from academia to practice and is thus of interest to many scientific disciplines (cf, eg, Teece 7 ). While some challenges remain the same regardless of the technology to be transferred, others are particular to the software engineering field, as software engineering technologies typically evolve in a short time and thus the state of the art constantly changes (cf Boehm 8 and Finkelstein and Kramer 9 ).There exists a plethora of proposed solution approaches to foster technology transfer in software engineering as well as experience reports on successful technology transfer projects. Nevertheless, there is a need to support researchers in identifying proper technol...

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“…Not intending to be exhaustive and just getting some recent works, these studies are concerned with many distinct topics in SE, such as software development for medical devices ), requirements engineering (Chen et al 2013), software processes (Guo and Seaman 2008;Rodríguez et al 2012;Abrantes and Travassos 2013), pair programming (Rodríguez et al 2012), defect reporting (Bettenburg et al 2008), exploratory testing (Pfahl et al 2014), model-based testing (Dias Neto andTravassos 2008), effort estimation (Basten and Mellis 2011;Vaz 2013), component-based software engineering (Conradi et al 2005;Ji et al 2008), global software development (Humayun et al 2013) and technology transfer (Diebold and Vetrò 2014) among many others.…”

Section: Surveys In Software Engineeringmentioning

confidence: 99%

“…the basic element of analysis from each survey (Hopkins 1982), can be typically established as: de Mello et al Journal of Software Engineering Research and Development (2015) 3:8an organization Diebold and Vetrò 2014) a software project (Conradi et al 2005;Ji et al 2008;Basten and Mellis 2011) an individual (Dias Neto and Travassos 2008;Guo and Seaman 2008;Betenburg 2008;Abrantes and Travassos 2013;Bettenburg et al 2008;Rodríguez et al 2012;Chen et al 2013;Vaz 2013;Humayun et al 2013;Pfahl et al 2014). …”

Section: Surveys In Software Engineeringmentioning

confidence: 99%

Investigating probabilistic sampling approaches for large-scale surveys in software engineering

Mello

Silva

Travassos

2015

J Softw Eng Res Dev

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Background: Establishing representative samples for Software Engineering surveys is still considered a challenge. Specialized literature often presents limitations on interpreting surveys' results, mainly due to the use of sampling frames established by convenience and non-probabilistic criteria for sampling from them. In this sense, we argue that a strategy to support the systematic establishment of sampling frames from an adequate source of sampling can contribute to improve this scenario. Method: A conceptual framework for supporting large scale sampling in Software Engineering surveys has been organized after performing a set of experiences on designing such strategies and gathering evidence regarding their benefits. The use of this conceptual framework based on a sampling strategy developed for supporting the replication of a survey on characteristics of agility and agile practices in software processes is depicted in this paper. Result: A professional social network (Linkedln) was established as the source of sampling and its groups of interest as the units for searching members to be recruited. It allowed to deal with a sampling frame composed by more than 110,000 members (prospective subjects) distributed over 19 groups of interest. Then, through the similarity levels observed among these groups, eight strata were organized and 7745 members were invited, from which 291 have confirmed participation and answered the questionnaire. Conclusion: The heterogeneity and number of participants in this replication contributed to improve the strength of original survey's results. Therefore, we believe the sharing of this experience, the instruments and plan can be helpful for those researchers and practitioners interested on executing large scale surveys in Software Engineering.

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Bridging the gap: SE technology transfer into practice

Cited by 10 publications

References 12 publications

The challenges of staying together while moving fast

The challenges of staying together while moving fast

Approaches, success factors, and barriers for technology transfer in software engineering—Results of a systematic literature review

Investigating probabilistic sampling approaches for large-scale surveys in software engineering

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