International Journal of Software Engineering and Knowledge Engineering

The International Journal of Software Engineering and Knowledge Engineering is intended to serve as a forum for researchers, practitioners, and developers to exchange ideas and results for the advancement of software engineering and knowledge engineering. Three types of papers will be published:

  • Research papers reporting original research results
  • Technology trend surveys reviewing an area of research in software engineering and knowledge engineering
  • Survey articles surveying a broad area in software engineering and knowledge engineering
    In addition, tool reviews (no more than three manuscript pages) and book reviews (no more than two manuscript pages) are also welcome.

A central theme of this journal is the interplay between software engineering and knowledge engineering: how knowledge engineering methods can be applied to software engineering, and vice versa. The journal publishes papers in the areas of software engineering methods and practices, object-oriented systems, rapid prototyping, software reuse, cleanroom software engineering, stepwise refinement/enhancement, formal methods of specification, ambiguity in software development, impact of CASE on software development life cycle, knowledge engineering methods and practices, logic programming, expert systems, knowledge-based systems, distributed knowledge-based systems, deductive database systems, knowledge representations, knowledge-based systems in language translation & processing, software and knowledge-ware maintenance, reverse engineering in software design, and applications in various domains of interest.

works as
journal containing
page_white_acrobatAdaptable Multi-Agent Systems: The Case of the Gaia Methodology (2011) — Luca Cernuzzi, Ambra Molesini, Andrea Omicini, Franco Zambonelli
page_white_acrobatOrganisational Rules as an Abstraction for the Analysis and Design of Multi-Agent Systems (2001) — Franco Zambonelli, Nicholas R. Jennings, Michael J. Wooldridge