Workshop 17 May

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5th International Workshop on Realizing Artificial Intelligence Synergies in Software Engineering

This workshop brings together researchers and industrial practitioners to exchange and discuss the latest innovative synergistic AI and SE techniques and practices. SE is now expected to solve a plethora of increasingly complex questions that are dynamic, automated, adaptive, or must execute on a very large scale. In theory, other disciplines could better support SE. For example, AI technologies can support the development of increasingly complex SE systems as in the case of recommendation systems. Conversely, in theory, SE might also play a role in alleviating development costs and the development effort associated with AI tools and applications such as robotics, where proper development and testing practices are of utmost importance. In practice, this theoretical connection between SE and AI is rarely achieved. We believe that SE has much to offer AI about systems engineering and scalability of methodologies. Yet AI research rarely uses this work. All this begs the question:

Are SE and AI researchers ignoring important insights from AI and SE?

To answer this question, RAISE'16 will be a crossover workshop where the state of the art in both fields is documented and extended. This workshop will explore not only the application of AI techniques to SE problems but also the application of SE techniques to AI problems.




Plenary: Welcome, Introductions
(60 min) Academic Keynote: Successful AI Applications in Software Engineering, Ayse Bener (Ryerson University)
Break: Coffee
(30 min) Comparative Analysis of Predictive Techniques for Release Readiness Classification, by S. M. Didar-Al- Alam, Muhammad Rezaul Karim, Dietmar Pfahl and Guenther Ruhe
(30 min) A Learning Algorithm for Change Impact Prediction, by Vincenzo Musco, Antonin Carette, Martin Monperrus and Philippe Preux
(30 min) Measuring the Principal of Defect Debt, by Shirin Akbarinasaji, Ayse Basar Bener and Atakan Erdem
Break: Lunch
(60 min) Industry Keynote: Mainstream Machine Learning: Understanding at Scale, Craig Statchuk (IBM Canada)
(30 min) Topic Cohesion Preserving Requirements Clustering, by Janardan Misra, Shubhashis Sengupta and Sanjay Podder
Break: Coffee
Discussion Session

Topics of Interest

Prospective participants should submit either a state of the art position statement describing late-breaking research results or a research vision statement on one or more of the following perspectives.

  1. Improving SE through AI – including but not limited to knowledge acquisition, knowledge representation, reasoning, agents, machine learning, machine-human interaction, planning and search, natural language understanding, problem solving and decision-making, understanding and automation of human cognitive tasks, AI programming languages, reasoning about uncertainty, new logics, statistical reasoning, software analytics, etc.
  2. Applying AI to SE activities – including but not limited to requirements, design, specification, traceability, program understanding, model-driven development, testing and quality assurance, domain-specific software engineering, adaptive systems, software evolution, etc.
  3. SE for AI – including but not limited to AI programming languages, program derivation techniques in AI domains, platforms and programmability, software architectures, rapid prototyping and scripting for AI techniques, software engineering infrastructure for reflective and self-sustaining systems, etc.
  4. Deployed Applications of AI or SE – papers that describe a deployed SE application in AI domain or an AI application in SE domain including nut not limited to robotics software development and recommendation systems in SE, etc.

Paper Submission

Submit papers (PDF) to EasyChair. Submissions should be 5 pages for position papers and 7 pages for full papers. People who wish to publish ‘abstract only’ should still submit a paper for review. Accepted papers will be published as an ICSE 2016 Workshop Proceedings in the ACM and IEEE Digital Libraries. However, the authors may choose an abstract only publication of their work. 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 2016. The official publication date affects the deadline for any patent filings related to published work.

If accepted, each paper will be presented in a 15-30-minute presentation session to stimulate discussion. Submissions must not be published or under review elsewhere, and conform to formatting using ACM Formatting Guidelines. Submission length should not exceed the above page limits and all submissions must be in English.


Important Dates

  • Abstracts due: 15 January 2016
  • Submission: 22 January 03 February 2016
  • Notification of acceptance: 19 February 2016
  • Camera-ready submission: 26 February 2016
  • Workshop date: 17 May 2016

Programme Committee

  • Ebrahim Bagheri, Ryerson University, Canada
  • Ayşe Başar Bener, Ryerson University, Canada
  • Francisco Chicano, University of Malaga, Spain
  • Enzo Cialini, IBM, Canada
  • Jane Cleland-Huang, DePaul University, USA
  • Simon Colton, Goldsmiths, University of London, UK
  • Daniela da Cruz, University of Minho, Portugal
  • Massimiliano Di Penta, University of Sannio, Italy
  • Jin Guo, DePaul University, USA
  • Mark Harman, University College London (UCL), UK
  • Rachel Harrison, Oxford Brookes University, UK
  • Jacky Keung, City University of Hong Kong, Hong Kong
  • Ekrem Kocaguneli, Microsoft, USA
  • Nazim Madhavji, University of Western Ontario
  • Tim Menzies, West Virginia University, USA
  • Ayse Tosun Misirli, Istanbul Tech. Uni., Turkey
  • Marjan Mernik, University of Maribor, Slovenia
  • Farid Meziane, University of Salford, UK
  • Daniel Rodriguez, University of Alcala, Spain
  • Alessandra Russo, Imperial College, UK
  • Barbara Russo, Free University of Bolzano, Italy
  • Richard Torkar, Chalmers & Uni of Gothenburg, Sweden
  • Yuming Zhou, Nanjing University, China

Workshop Chairs

  • Çetin Meriçli, Carnegie Mellon University, USA
  • Leandro Minku, University of Birmingham, UK
  • Andriy Miransky, Ryerson University, Canada
  • Craig Statchuk, IBM Canada
  • Burak Turhan, University of Oulu, Finland