[Corpora-List] JIMSE 2012 Second Call for Papers: Joint workshop on Intelligent Methods for Software System Engineering

Barbara Plank barbara.plank at disi.unitn.it
Thu May 3 11:20:46 CEST 2012

Second Call for Papers

JIMSE: Joint workshop on Intelligent Methods for Software System Engineering ****************************************************************************

August 27 or 28, 2012 Montpellier, France

The first Joint workshop on Intelligent Methods for Software System Engineering will be held in conjunction with the ECAI 2012, the biennial European Conference on Artificial Intelligence, the leading conference on Artificial Intelligence in Europe, which will take place in Montpellier, France, in August, 27-31, 2012.

JIMSE is co-organized by the European Coordination Action EternalS: Trustworthy Eternal Systems via Evolving Software, Data and Knowledge.

Workshop Description --------------------

The workshop aims at bringing together worldwide stakeholders and their related communities to discuss current research trends on the use of intelligent techniques for effective and efficient design of software systems. To amplify the impact of the workshop, two different communities sharing the above-mentioned aim will join for the organization of a large event. These include:

- The Trustworthy Eternal Systems via Evolving Software, Data and

Knowledge (EternalS) community, who has been developing in

conjunction with the homonymous European Coordination Action

(https://www.eternals.eu/). This includes stakeholders of four broad

different ICT areas such as: Learning Systems for Knowledge

Management and Representation, Software Systems, Networked Systems

and Secure Systems. Such community is sharing competencies and

technology for reciprocally improving the specific areas, for

example, applying machine learning for anomaly detection or for

helping establishing network connection between devices.

- The Intelligent Techniques in Software Engineering (ISEW) community,

who has been developing through different workshops (see the past

venues below). The community focuses on intelligent techniques 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 above communities focus on traditional AI technologies such as: (i) fuzzy logic, artificial neural networks, genetic algorithms; (ii) statistical machine learning (supervised, unsupervised, semi-supervised learning) and domain adaptation; and (iii) specific intelligent approaches for text mining & retrieval, graph mining and ranking algorithms. These are applied to extract patterns and identify relations regarding (a) the different phases and needs of software development and analysis as well as (b) designing effective security policies and networking systems.

Scope and Topics ----------------

We aim at encouraging cross-fertilization of ideas amongst researchers from different communities. The topics of the workshop regards (but are not limited to) the application of the following approaches:

* Machine Learning * Kernel methods * Text Mining & Retrieval * Probabilistic Reasoning * Model Learning * Expert Systems * Neural Networks * Data Mining * Evolutionary algorithms * Ranking Algorithms * Regression models and Statistical methods


* Software Requirements * Software Architecture * Software Methodologies * Software Algorithms * Software Design * Software Performance * Engineering * Software Quality & Reliability * Object-Oriented Analysis and Design * Software Maintenance & Testing * Software Metrics * Software Project Management * Software Cost Estimation * Open Source Software * Software Repository Management * Cloud computing.

Additionally, we are particularly interested in contributions describing interdisciplinary researches between the following broad four ICT areas:

(i) Learning Systems for Knowledge/Information Management and Representation. This area concerns with research for the development of machine learning models, mainly with applications in the domain of natural language processing, e.g.,

* Information Extraction * Information Retrieval * Data Mining * Semantic Web * Speech Processing * Image processing * Human Computer Interaction

(ii) Software Systems, for example, described by the following keywords:

* Modeling languages * Feature description languages * Software product lines * Feature-oriented programming * Delta-oriented programming * Architectural models of diversity * Formal Methods * Software evolution * Component-based systems

(iii) Networked Systems

This area deals with the connection of networked systems over time, hence addressing eternal interoperability. Related topics include but are not limited to:

* Connector theory * Models at runtime * Protocol learning * Protocol synthesis * Runtime verification & validation * Model-based monitoring * Interoperable security, privacy & trust

(iv) Secure Systems

This topic area deals with supporting the supervised evolution of secure systems from the development, deployment, and operation perspectives. Research in the context of the so-called Future Internet is particularly welcome. Topics include, but are not limited to:

* Requirements engineering, * Risk assessment * Software architectures * Modeling techniques * Model-based security techniques * Secure programming * Verification and testing * Software engineering processes for secure and evolvable systems

Important Dates ---------------

May 20, 2012: Paper submission deadline June 28, 2012: Notification of acceptance July 15, 2012: Camera-ready deadline July 22, 2012: send PDF to workshop chairs August 27 or 28, 2012 JIMSE workshop at ECAI 2012

Submission ----------

To promote discussion and the topics of the workshop, we invite the submission of abstracts of max. 4 pages including references, pictures and tables, presenting novel research results. The abstracts will be peer reviewed by the Program Committee (double-blind review process). Final versions of the extended abstracts (max. 10 pages including references) will be published in online proceedings, while selected contributions will appear as post-proceedings in the Springer CCIS (Communications in Computer and Information Science) series (pending approval). For further details see http://www.springer.com/series/7899

Papers should be submitted via the Easychair submission system:


All submissions should be formatted using the ECAI 2012 style file that can be found at:


As the reviewing will be blind, papers must not include the authors' names and affiliations. Submissions should be in English and should not have been published previously. If essentially identical papers are submitted to other conferences or workshops as well, this fact must be indicated at submission time.

The submission deadline is 23:59 CET on May 20, 2012.

Voice your ideas ----------------

The contributions and the outcome of the discussion that will follow the paper presentation will be considered for inclusion in the roadmap that the EternalS coordination action is designing for the European community: https://www.eternals.eu

The roadmap will be an input to the European Community for the definition of the Work Programme of 2013.

Program Committee -----------------

Andreas Andreou, University of Cyprus, Cyprus Lefteris Angelis, Aristotle University of Thessaloniki, Greece Roberto Basili, University of Rome Tor Vergara, Italy Helen Berki, University of Tampere, Finland Götz Botterweck, Lero, Ireland Sofia Cassel, University of Uppsala, Sweden Krishna Chandramouli, Queen Mary University of London, UK James Clarke, Telecommunications Software and Systems Group, Ireland Anna Corazza, University of Naples Federico II, Italy Sergio Di Martino, University of Naples Federico II, Italy Michael Felderer, University of Innsbruck, Austria Fausto Giunchiglia, University of Trento, Italy Reiner Hähnle, TU Darmstadt, Germany Falk Howar, TU Dordtmund, Germany Valerie Issarny, INRIA, France Richard Johansson, University of Gothenburg, Sweden Jan Jürjens, TU Dortmund, Germany George Kakarontzas, Technical University of Larisa, Greece Achilles Kameas, Hellenic Open University, Greece Basel Katt, University of Innsbruck, Austria Chris Lokan, UNSW at ADFA, Australia Ilaria Matteucci, CNR, Italy Emilia Mendes, University of Auckland, Νew Zealand Grzegorz Nalepa, AGH University of Science and Technology, Poland Claudia Niederee, L3S Research Center Hannover, Germany Animesh Pathak, INRIA, France Tomas Piatrik, Queen Mary University of London, UK Hongyang Qu, University of Oxford, UK Rick Rabiser, JKU Linz, Austria Vasile Rus, The University of Memphis, USA Riccardo Scandariato, Katholieke Universiteit Leuven, Belgium Ina Schaefer, TU Braunschweig, Germany Holger Schöner, Software Competence Center Hagenberg, Austria Bernhard Steffen, TU Dortmund, Germany Christos Tjortjis, The University of Manchester, UK Grigorios Tsoumakas, Aristotle University of Thessaloniki, Greece Michalis Vazirgiannis, Athens University of Economics & Business Maria Virvou, University of Piraeus, Greece Qianni Zhang, Queen Mary University of London, UK

Workshop Chairs ---------------

Stamatia Bibi (Aristotle University of Thessaloniki, Greece) Alessandro Moschitti (University of Trento, Italy) Barbara Plank (University of Trento, Italy) Ioannis Stamelos (Aristotle University of Thessaloniki, Greece)

Contact & Website -----------------

For general questions about the workshop, please send an email to jimse2012 at gmail.com

Workshop website: https://sites.google.com/site/jimse2012/

More on Topics and Background -----------------------------

During last years Open Source Software has considerably increased, enabling free and continuing access to publicly available software engineering data. In turn, this has promoted research on modeling software development and investigating its various aspects. Though, software engineering data is available, two important aspects of a software system have still to be studied such as (i) its representation in terms of domain knowledge and (ii) the representation of its design and implementation history. Successful models for the above points would allow for the design of radically different paradigms for software development.

Intelligent techniques can be applied for modeling software-related tasks and providing effective solutions. Machine learning (ML), knowledge-based systems, and data mining have already been used in several Software Engineering (SE) tasks. For example, recent interdisciplinary research in ML and networking systems has shown that statistically learning can produce large improvement in both connecting devices (Bennaceur et al., 2011) and modeling their logic (behavior) (Lamprecht et al., 2011). Moreover, the role ML in software for security systems is very effective as shown for example in (Felderer et al., 2011), whereas knowledge-based approaches seem promising for improving fast prototyping of new product lines as they can automatize formal verification processes of workflows (Schaefer & Sauer, 2011).

SE is a conceptual-intensive activity, requiring extensive domain and software knowledge (Zhang & Zhai, 2005). Software data, such as requirements, descriptions, change history, design diagrams, size of programs, tools, packages and methodologies and the source code itself contain a wealth of information about a project status, progress and evolution. Intelligent techniques can be used to analyze such data from past projects to recognize software problems or to learn its natural evolution during time.

This is very appealing since suggests methods and techniques for making systems capable of adapting to changes in user requirements and application domains. Most software systems nowadays are built iteratively and incrementally, while integrating and interacting with components from many other systems. Past development models that presupposed that software systems would not significantly evolve after delivery are now outmoded. Hence, SE research is studying the design and implementation of highly evolvable systems. ML is a promising research direction for the design of adaptable models as they requires to manage millions of variables in several dimensions, e.g., time, location, and security conditions, expressing the diversity of the context in which systems operate. Finally, knowledge and experience from the development of previous projects can make the use of supervised learning possible (i.e., training data is available).

References ----------

S. Bibi, G. Tsoumakas, I. Stamelos, I. Vlahavas, Regression via Classification applied on Software Defect Estimation, Expert Systems with Applications Journal of Elsevier, Vol 34(3), pp. 2091-2101.

Peter Hearty, Norman E. Fenton, David Marquez, Martin Neil: Predicting Project Velocity in XP Using a Learning Dynamic Bayesian Network Model. IEEE Trans. Software Eng. 35(1): 124-137 (2009)

Open source project data: www.sourceforge.org

Adriano L.I. Oliveira, Petronio L. Braga, Ricardo M.F. Lima, Márcio L. Cornélio, GA-based method for feature selection and parameters optimization for machine learning regression applied to software effort estimation, Information and Software Technology, Volume 52, Issue 11, November 2010, Pages 1155-1166

Stamelos, L. Angelis, P. Dimou, E. Sakellaris, On the use of Bayesian belief networks for the prediction of software productivity, Inf. Softw. Technol. 45 (2003) 51–60.

Witten and E. Frank. Data Mining: Practical machine learning tools and techniques, 2nd Edition. Morgan Kaufmann, San Francisco, 2005.

Eds. Du Zhang , Jeffrey Tsai, “Machine Learning applications in Software Engineering”, (University of Illinois, Chicago, USA), Series on Software Engineering and Knowledge Engineering , Vol. 16, 2005.

AmelBennaceur, Richard Johansson, Alessandro Moschitti, RominaSpalazzese, Daniel Sykes, RachidSaadi, and ValrieIssarny. Inferring affordances using learning techniques. In The First Workshop on Trustworthy Eternal Systems via Evolving Software, Data and Knowledge: EternalS’11. To appear in CCIS Springer, 2011.

Anna-Lena Lamprecht, TizianaMargaria, Ina Schaefer and Bernhard Steffen, Comparing Structure-oriented anda Behaviour-oriented Variability Modeling for Workflows. In The First Workshop on Trustworthy Eternal Systems via Evolving Software, Data and Knowledge: EternalS’11. To appear in CCIS Springer, 2011.

Ina Schaefer and Thomas Sauer, Towards Verification as a Service. In The First Workshop on Trustworthy Eternal Systems via Evolving Software, Data and Knowledge: EternalS’11. To appear in CCIS Springer, 2011.

Felderer, M. and Agreiter, B. and Zech, P. and Breu, R. (2011) A Classification for Model-Based Security Testing. In: The Third International Conference on Advances in System Testing and Validation Lifecycle (VALID 2011).

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