-------- Original-Nachricht -------- Betreff: [computational.science] 1st CFP SI on Knowledge-based Software Engineering - Science of Computer Programming Datum: Sat, 8 Nov 2014 15:29:54 +0100 Von: Rafael Valencia Garcia valencia@um.es An: Computational Science Mailing List computational.science@lists.iccsa.org
Special Issue on Knowledge-based Software Engineering
Journal: Science of Computer Programming. Elsevier. Impact Factor 0,548.
Knowledge-based technologies provide a consistent and reliable basis to face the challenges for organization, manipulation and visualization of the data and knowledge, playing a crucial role as the technological basis of the development of a large number of information systems. On the other hand, software engineering comprises different processes and techniques that support the specification, development, and maintenance of software. Knowledge-based software engineering is focused in automating the software engineering life cycle, software engineering resources which are shifting towards knowledge acquisition and the automated reuse of expert knowledge for developing software artifacts. Knowledge in software applications is becoming more significant because the domains of many software applications are inherently knowledge-intensive and this knowledge is often not explicitly dealt with in software development. This impedes maintenance and reuse. Moreover, it is generally known that developing software requires expertise and experience, which are currently also implicit and could be made more tangible and reusable using knowledge-based or related techniques. Examples of approaches that are directly related to this tendency are knowledge engineering, ontologies, conceptual modeling, domain analysis and domain engineering, business rules, workflow management, to mention but a few. Nowadays, enterprises handle different types of knowledge that are often inter-related, and which must be managed in a consistent way. For instance, software engineering involves the integration of various knowledge sources that are in constant change. Therefore, tools and techniques are necessary to capture and process knowledge in order to facilitate subsequent development efforts, especially in the domain of software engineering. With the use of new proposals on how using the knowledge in a multitude of ways and in all phases of software development can be advantageous.
This special issue aims at exploring the recent advances in the application of knowledge-based technologies in Software Engineering area soliciting original scientific contributions in the form of theoretical foundations, case studies, techniques, tools, and applications of knowledge-based software engineering theory and practice.
The topics of this special issue include but are not limited to: • Knowledge Representation in Software Engineering • Knowledge Acquisition in Software Engineering • Knowledge driven Software Engineering • Case-based reasoning in Software Engineering • Ontology Engineering in Software Engineering • Semantic Interoperability • Semantic Data Models • Semantic Service Oriented Architectures • Natural Language Processing applied to Software Engineering • Applications and Case-studies • Decision support methods for software engineering • Development processes for knowledge-based applications • Empirical/evaluation studies for knowledge-based applications • Knowledge engineering for process management and project management • Knowledge management for business processes, workflows and enterprise modeling • Knowledge technologies for service-oriented systems, Internet of services and Internet of things Knowledge-based methods and tools for software engineering education • Knowledge-based methods and tools for testing, verification and validation, maintenance and evolution in software engineering • Knowledge-based methods for software metrics • Knowledge-based requirements engineering, domain analysis and modeling • Methodology and tools for knowledge discovery and data mining
Instructions for authors Papers submitted must have not been published previously or under consideration for publication, though they may represent significant extensions of prior work. Manuscripts should be submitted online at http://ees.elsevier.com/scico/ (see the EES User Guide for Authors). Authors should select "SI on KB Soft. Eng." in the EES platform when they will be asked for type of submission. All submissions will be peer-reviewed following the double-blind review process. The objective is to apply very high standards of acceptance while ensuring fair, timely and efficient review cycles.
Important Dates Manuscript Submission Deadline: March 15, 2015 Notification of review: July 15, 2015 Revision due: October 15, 2015 Notification of Final Acceptance: December 15, 2016 Camera-ready paper submission deadline: January 15, 2016 Expected publication: March 2016
Guest Editors Rafael Valencia-García, Universidad de Murcia, Spain (valencia@um.es) Giner Alor-Hernández, Instituto Tecnológico de Orizaba, México (galor@itorizaba.edu.mx)
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