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International Joint Workshop on Knowledge Engineering and Intelligent Techniques and Software Enginnering

KESE/AISEW 2012 http://kese.ia.agh.edu.pl

at the European Conference on Artificial Intelligence ECAI 2012

organized by the European Coordinating Committee for Artificial Intelligence (ECCAI)

Montpellier, France, August 27-3 http://www2.lirmm.fr/ecai201

Aims and Scope

Intelligent Systems (IS) have been successfully developed in various domains based on techniques and tools from Artificial Intelligence (AI) in a broad sense, including Knowledge Engineering (KE) that uses logic-based symbolic knowledge representation. Since most of the implementations of todays IS are software based, Software Engineering methods and tools play an important role in their development.

This stimulates the synergy between AI/KE methods and SE methods and tools. Thus, declarative software engineering techniques have been established in many areas, such as knowledge systems, logic programming, constraint programming, and lately in the context of the Semantic Web and business rules. On the other hand AI techniques can provide the means for addressing, studying, analyzing and understanding critical software development issues, such as software quality and reliability, software cost estimation, software requirements, specifications engineering and software project management.

The primary objective of the workshop is to bring together researchers and practitioners from fields of KE, AI and SE. Moreover the workshop endeavors to promote the use of AI and KE techniques in Software Engineering problems, where significant benefits can be derived from their use. The goal of the workshop is to show how AI/KE techniques can provide practical solutions in Software Engineering issues. On the other hand influence of SE methods and tools on the practical design of IS within AI and KE. The intention is to give ample space for exchanging latest research results as well as knowledge about practical experience.

The joint workshop on Artificial Intelligence, Knowledge Engineering, and Software Engineering brings together the communities of the Knowledge Engineering and Software Enginnering (KESE) and Artificial Intelligence Techniques in Software Engineering (AISEW) workshops. The previous KESE Workshops have been annually organized at the German Conference on Artificial Intelligence (KI) since 2005. In 2011 the seventh workshop on Knowledge Engineering and Software Engineering (KESE7) was held at the Conference of the Spanish Association for Artificial Intelligence (CAEPIA 2011) in Spain. The previous AISEW Workshops have been annually organized starting from 2008 (on ECAI 2008) and since then co-located with conferences in Greece and Cyprus.

Topics of Interest

Topics of the workshop are generally related to the:

• application of AI techniques in SE.
• the use of KE in the SE practice
• SE methods and tools in the design of IS within KE and AI.

Specific topic the areas include, but are not limited to, the ones listed below:

• Knowledge and software engineering for the Semantic Web
• Ontologies in practical knowledge and software engineering
• Business Rules design and management
• Practical knowledge representation and discovery techniques in software engineering
• Agent-oriented software engineering
• Database and knowledge base management in AI systems
• Evaluation and verification of intelligent systems
• Practical tools for intelligent systems engineering
• Process models in AI applications
• Software requirements and design for AI applications
• AI approaches in software engineering process
• Declarative, logic-based approaches
• Constraint programming approaches

AI technologies such as fuzzy logic, artificial neural networks, machine learning techniques (supervised & unsupervised learning), text mining & retrieval, graph mining, ranking algorithms and genetic algorithms can be applied in order to extract patterns and identify relations regarding the different phases and needs of software development and analysis.

Intended Audience

We expect researchers and practitioners from the areas of AI, KE and SE. Novel, innovative applications are appreciated. No limitation on the number of participants is planned.

Submission Details

Papers should be formatted according to the Springer LNCS guidelines. The length of each paper should not exceed 10 pages (including figures and references), see: http://ftp.springer.de/pub/tex/latex/llncs/latex2e/llncs2e.zip All papers must be written in English and submitted in PDF format. According to the review process requirement of CAEPIA proceedings, papers must be submitted in anonymized form. This means that author names and organization, references, acknowledgments, and any other information that might identify the authors shall be removed from the submitted version of the papers. Submissions will be made via EasyChair: http://www.easychair.org/conferences/?conf=caepia2011

Important dates

1. 19 Feb 2012: 1st call for papers sent
2. 28 May 2012: workshop paper submission deadline
3. 28 Jun 2012: notification on workshop paper acceptance
4. 07 Jul 2012: camera ready papers
5. 22 Jul 2012: workshop proceedings to be sent to workshop chair

Call for Tool Presentations

This year we also strongly encourage the submission of tool presentation papers, i.e., system descriptions that clearly show the interaction between research and practice. Such papers have to be explicitly identified as tool presentation.

Organization

The one-day workshop will be held with presentations of accepted papers. English is the official language of the workshop. The submitted papers will be reviewed by three members of the program committee. A comfortable time slot for discussions will be given. It is planned that accepted contributions to KESE7 also appear as CEUR Workshop Proceedings (CEUR-WS.org).

Workshop organizers

• J. Cañadas, University of Almeria jjcanada@ual.es
• G. J. Nalepa, AGH UST Krakow gjn@agh.edu.pl
• J. Baumeister, University Würzburg joba@uni-wuerzburg.de

Program Committee

• I. del Águila, University of Almeria, Spain
• K.-D. Althoff, University Hildesheim, Germany
• A. B. Bailón, University of Granada, Spain
• J. Baumeister, University Würzburg, Germany
• F. Bienvenido, University of Almeria, Spain
• I. Blanco, University of Granada, Spain
• M. Campos, University of Murcia, Spain
• J. Cañadas, University of Almeria, Spain
• J. T. Fernandez-Breis, University of Murcia, Spain
• A. Giurca, Brandenburg University of Technology at Cottbus, Germany
• F. Guil, University of Almeria, Spain
• J. M. Juarez, University of Murcia, Spain
• J. Jung, Yeungnam University, Korea
• R. Knauf, TU Ilmenau, Germany
• C. Martínez-Cruz, University of Jaen, Spain
• G. J. Nalepa, AGH UST, Krakow, Poland
• J. Palma, University of Murcia, Spain
• F. Puppe, University Wurzburg, Germany
• J. del Sagrado, University of Almeria, Spain
• D. Seipel, University Würzburg, Germany
• F. Silva Parreiras, University of Koblenz-Landau, Germany
• I. Stamelos, Aristotle University of Thessaloniki, Greece
• R. Valencia-García, University of Murcia, Spain

                                      AIMS AND SCOPE

The workshop focuses on the current research trends for introducing and implementing Artificial Intelligence (AI) techniques in Software Engineering. AI techniques can provide the means for addressing, studying, analyzing and understanding critical software development issues, such as software quality and reliability, software cost estimation, software requirements, specifications engineering and software project management.

AI technologies such as fuzzy logic, artificial neural networks, machine learning techniques (supervised & unsupervised learning), text mining & retrieval, graph mining, ranking algorithms and genetic algorithms can be applied in order to extract patterns and identify relations regarding the different phases and needs of software development and analysis.

The workshop endeavours to promote the use of AI techniques in Software Engineering problems, where significant benefits can be derived from their use. Target of the workshop is to show how AI techniques can provide practical solutions in Software Engineering issues. Novel, innovative applications are also appreciated.

                                              TOPICS

The topic of the workshop involves the application of AI techniques in Software Engineering.The workshop includes, but is not limited to, the areas listed below:

                                                                  Software Requirements
                                                                  Software Architecture
                                                                  Software Methodologies
   Machine Learning (Unsupervised & Supervised                    Software Algorithms
   learning)                                                      Software Design
   Text Mining & Retrieval                                        Software Performance
   Probabilistic Reasoning                                        Engineering
   Model Learning                                                 Software Quality
   Expert Systems                                                 Software Reliability
                                                            in
   Neural Networks                                                Object-Oriented Analysis and
   Data Mining                                                    Design
   Evolutionary algorithms                                        Software Maintenance
   Ranking Algorithms                                             Software Testing
   Regression models                                              Software Metrics
   Statistical methods                                            Software Project Management
                                                                  Software Cost Estimation
                                                                  Open Source Software
                                                                  Software Repository Management
                          INFORMATION FOR THE AUTHORS

Authors are invited to submit electronically original, English-language research contributions or experience reports. Papers should be no longer than 8 pages formatted according to the ECML guidelines. The proceedings of the workshop will be published online in the Cornells's University library (arxiv.org) and also there will be further arrangements to be published in the CEUR online proceedings. Submitted papers will be refereed for quality, correctness, originality, and relevance. Notification and reviews will be communicated via email. Accepted papers will be presented at the workshop and included in the workshops proceedings.