Workshop Aim

The aim of the workshop is to bring together researchers and practitioners to discuss the current state of Software Engineering (SE) research and Industrial Practice (IP), and advance collaboration to reduce the gap between research and practice.
Researchers can be unaware of real problems and constraints in practice, whereas practitioners may find themselves unable to adopt existing useful research. Practitioners are often reluctant or even prevented from sharing industry information due to confidentiality and legal constraints. Practitioners often feel that researchers work on dated or futuristic theoretical challenges which are divorced from today’s industrial practice. Researchers believe that practitioners are looking for quick fixes instead of using systematic methods. Practitioners have a view that case studies in research do not adequately represent the complexities of real projects and often dismiss results outright when students are used as test subjects in research. Researchers expect good work to take a few years to generate good publications which may affect a specific domain in an incremental manner. Practitioners expect a quick solution which must pay off in the short term. Researchers are more interested in proposing new techniques and tools. Practitioners would appreciate systematic evaluation and comparison of existing techniques and tools in real-world settings. Researchers and practitioners need to overlap research and practice to build trust in their partnership. This workshop is a platform to discuss and address such challenges.

Special Theme

The SER&IP 2020 theme is The implications of resurgence in Artificial Intelligence (AI) for research collaborations in Software Engineering (SE).
Nowadays there is a surging demand for AI expertise. Industry produces massive datasets for training AI models, which are not easily available in academia. Academia creates advances in AI supporting innovative SE solutions, primarily through theoretical and experimental work, typically not carried out in industry. Therefore, we believe that academia and industry must build a symbiotic relationship, sharing resources and talents, to realize successful collaborative research in AI for SE, and SE for AI. SER&IP 2020 aims to be a platform for effective sharing of knowledge and experience on building such evolved industry-academia relationships.

Important Dates

Paper and talk proposal submission (Extended):
February 1, 2020 January 22, 2020

Notification to authors:
February 25, 2020
Camera-ready copies (Extended):
April 7, 2020 March 16, 2020
Workshop (Rescheduled):
October 8-11, 2020 May 24, 2020



Researchers and practitioners are especially encouraged to submit papers and talk proposals on the SER&IP special theme.
Submissions on other topics of interest addressing industry-academia collaboration are also welcome. Such topics of interest include, but are not limited to:

  • Business models and/or collaboration mechanisms between researchers and practitioners
  • The role and practice of open source in industry academia collaboration
  • Challenges, issues, bottlenecks and gaps in adoption of research
  • Existing research and systematic methods which are beneficial but ignored by the industry
  • Examples of what industry wants from research and what research wants from industry
  • How each side can participate in the issues, needs, and demands of the other
  • National and cultural differences in collaborations
  • Practical challenges that have potential for research
  • Technology transfer stories
  • Stories and practices from research-practice partnerships


Submissions Guidelines

SER&IP 2020 is soliciting regular and short papers as well as talk proposals. Regular papers should not exceed 8 pages, short papers should not exceed 4 pages and talk proposals should not exceed two-page extended abstract. Papers and abstracts must follow the ACM formatting instructions. Please submit the papers in PDF format on EasyChair.
Papers and talk proposals should be original and unpublished material describing innovative and mature research results, experience reports, case studies, challenges, problems and solutions, ongoing work, new ideas, new results and future trends. All submissions will be reviewed by three program committee members. The program committee will review all submissions for relevance, potential to trigger discussions at the workshop, lessons learned, quality of presentation, and novelty.
The accepted workshop papers, both regular and short, and two page extended abstracts will be published in the ICSE 2020 workshop proceedings in the ACM Digital Library. Authors of accepted papers and talks are required to register and present the paper at the workshop for the paper and or extended abstract to be included in the proceedings. The official publication date of the workshop proceedings is the date the proceedings are made available in the ACM Digital Library. This date may be up to two weeks prior to the first day of ICSE 2020. The official publication date affects the deadline for any patent filings related to published work.


Dr. David Shepherd

Virginia Commonwealth University, USA

Push It Real Good: Taking Research Ideas to the Marketplace

One of the best things about working in software engineering is that, in many cases, your work could, with some amount of elbow grease, be transferred into practice. In the past decade or so I (along with many collaborators) have transferred four concepts into practice. I did so by (1) creating a Visual Studio plugin based on code search research that was downloaded over 48,000 times, (2) creating a desk light that automatically detects when you are busy (to stop interruptions) that was licensed to an external company, (3) creating a block-based language for novices to program robots that will be released by a major robotics manufacturer, and (4) creating a curriculum to teach children to program by creating hip hop beats that will be taught in for-profit and non-profit summer camps this summer. In this talk I will describe the different techniques I have experience with, namely contributing to open source, licensing to an external company, contributing from within a company, and starting your own business. I will show that, regardless of whether you are in academia or industry there is a path forward for real world impact. At the end of this talk we will discuss potential paths forward for audience-members’ research.

David Shepherd is an Associate Professor in the Department of Computer Science at Virginia Commonwealth University. He earned his Ph.D. and M.S. in Computer Science at the University of Delaware, and his B.S. in Computer Science at Virginia Commonwealth University. David has since worked as a postdoctoral fellow in the Department of Computer Science at the University of British Columbia, built sweat equity as employee #9 at Tasktop Technologies, and risen to Senior Principal Scientist at ABB Corporate Research. His research has produced tools that have been used by thousands, innovations that have been featured in the popular press, and practical ideas that have won business plan competitions. Dr. Shepherd currently serves as the Co-Editor-in-Chief of the Journal of Systems & Software. He has served as the Program Co-Chair for the industrial tracks of the 20th ACM SIGSOFT International Symposium on the Foundations of Software Engineering (FSE 2017), the 39th ACM/IEEE International Conference on Software Engineering (ICSE 2017), and the 31st International Conference on Software Maintenance and Evolution (ICSME 2015). His current work focuses on enabling end-user programming for industrial machines and increasing diversity in computer science.



Title: TBD




Dusica Marijan

Simula Research Laboratory, Norway

Thomas Zimmermann

Microsoft Research, USA

MyungJoo Ham

Samsung Research, Korea

Bran Selic

Malina Software Corp., Canada

Program Committee

Goran Petrovic

Google, Switzerland

Rachel Tzoref-Brill

IBM, Israel

Freddy Munoz

Compass, USA

Marija Selakovic

Huawei Research Dresden, Germany

Mona Rahimi

University of Toronto, USA

Vinay Kulkarni

Tata Consultancy Services Research, India

Richard Torkar

Chalmers and the University of Gothenburg, Sweden

Jacek Czerwonka

Microsoft, USA

Kyungmin Bae

Pohang University of Science and Technology, South Korea

Yoshiki Mitani

SEC/IPA, Japan

Lingxiao Jiang

Singapore Management University, Singapore

Luciano Baresi

Politecnico di Milano, Italy

Helge Spieker

Simula Research Laboratory, Norway

Peggy Gregory

University of Central Lancashire, UK

Bjorn Lundell

University of Skövde, Sweden

Judith Bishop

University of Stellenbosch, South Africa

Laurence Duchien

University of Lille, France

Per Runeson

Lund University, Sweden