RAISE'13
2nd International NSF sponsored Workshop on Realizing Artificial Intelligence Synergies in Software Engineering
Prospective participants should submit either a 5-7 page position statement (for publication in the ICSE online proceedings) describing late-breaking research results or a 2-3 page research vision statement (circulated only to workshop participants) on one or more of the following perspectives:
- 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, etc.
- 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.
- 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.
Programme
Day 1: State of the Art - Room: Bayview B |
Day 2: Over the Horizon - Room: Bayview B |
Motivation and Relevance
The aim of this workshop is to bring together researchers and industrial practitioners to exchange and discuss the latest innovative synergistic AI and SE techniques and practices. Much of the innovation in the modern world is based on information technologies. Software engineering 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 have the potential to support the development of increasingly complex SE systems. Conversely, in theory, SE might also play a role in alleviating development costs and the development effort associated with AI tools. 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 ’13 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 software engineering problems but also the application of software engineering techniques to AI problems.
Paper Submission and Selection
For Day 1 ten position papers will be chosen for 15 minute presentations followed by approximately 5 minutes of critical discussion from the attendees. For Day 2 five vision statements will be chosen for fast presentations to stimulate discussion of a strategic research roadmap.
Following the workshop the authors will be invited to extend their position papers into full journal papers, for a Special Issue of Automated Software Engineering.
Participation will be sought with the aim of encouraging a selection of about 30 colleagues from the academic, industrial and commercial communities. The interactive nature of the workshop will provide a forum for discussion and debate in order to promote interdisciplinary research between the disciplines. Following presentation of the position papers, the participants will be split into two Working Groups, and each will be given a specific question to focus on, taken from the workshop themes.
Please submit your IEEE formatted position paper via Easychair.
Important Dates
- Submission: 14 February 2013 (hard deadline)
- Notification of acceptance: 28 February 2013
- Camera-ready papers: 7 March 2013
- Workshop dates: 25-26 May 2013
Programme Committee
- Jeremy S. Bradbury, University of Ontario, Canada
- Francisco Chicano, University of Malaga, Spain
- John Clark, University of York, UK
- Daniela da Cruz, University of Minho, Portugal
- Jim Davies, University of Oxford, UK
- Massimiliano Di Penta, University of Sannio, Italy
- João Pascoal Faria, Universidade do Porto, Portugal
- Bernd Fischer, University of Southampton, UK
- Sol Greenspan, NSF, USA
- Mark Harman, University College London (UCL), UK.
- Rachel Harrison, Oxford Brookes University, UK
- Pedro Henriques, University of Minho, Portugal
- Israel Herraiz, Technical University of Madrid (UPM), Spain
- Tim Menzies, West Virginia University, USA
- Marjan Mernik, University of Maribor, Slovenia
- Daniel Rodríguez, University of Alcalá, Spain
- Alessandra Russo, Imperial College, UK
- Walter Tichy, Karlsruhe Institute of Technology, Germany
- Richard Torkar, Blekinge Institute of Technology, Sweden
- Burak Turhan, University of Oulu, Finland
- Tao Xie, North Carolina State University, USA
- Xin Yao, University of Birmingham, UK
- Yuming Zhou, Nanjing University, China
Keynotes
- John Clark, University of York, UK.
- Tao Xie, North Carolina State University, USA
PC Chairs
- Rachel Harrison, Oxford Brookes University, UK
- Tim Menzies, West Virginia University, USA
Steering Committee
- Rachel Harrison, Oxford Brookes University, UK
- Sol Greenspan, NSF, USA
- Pedro Henriques, University of Minho, Portugal
- Tim Menzies, West Virginia University, USA
- Marjan Mernik, University of Maribor, Slovenia
- Daniel Rodríguez, University of Alcalá, Spain
Publicity Chair
-
Burak Turhan, University of Oulu, Finland
Webmaster
- Daniel Rodriguez, University of Alcala, Spain
Conclusions from the Workshop
- Day1 Report
- Day2 Report
Previous RAISE
- 2012 - http://promisedata.org/raise/2012/ - ACM DL
Acknowledgements
- This workshop acknowledges support from NFS grant CCF-.1252577. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.
- ICSE sponsors