Search Based Software Engineering and Genetic Improvement

Mark Harman is professor of Software Engineering in the Department of Computer Science at University College London, where he directs the CREST centre and is Head of Software Systems Engineering. He is widely known for work on source code analysis and testing and co-founded the field of Search Based Software Engineering (SBSE), the topic of this keynote. SBSE research has rapidly grown over the past five years and now includes over 1600 authors, from nearly 300 institutions spread over more than 40 countries. The Brazilian research community is also very well known for its strong working SBSE.

A recent tutorial paper on SBSE can be found here: http://www.cs.ucl.ac.uk/staff/mharman/laser.pdf.

A recent article describing the work of the Brazilian SBSE community can be found here: http://www.sciencedirect.com/science/article/pii/S0164121212002166.

Inovação Aberta, Ecossistemas de Startups e sua Evolução

Fabio Kon é professor titular de ciência da computação do IME-USP, coordenador adjunto de pesquisa para inovação da FAPESP e Editor-Chefe do SpringerOpen Journal of Internet Services and Applications, atua nas áreas de Empreendedorismo Digital, Software Livre, Sistemas Distribuídos e Cidades Inteligentes. Além de forte atuação como pesquisador, tendo publicado vários artigos internacionais de alto impacto, Fabio é conselheiro voluntário de várias startups de software.

Goal-Oriented Requirements Engineering at the age of majority

Over the past two decades, goal modelling has received  much attention in Requirement Engineering research, but also in Software engineering, Information Systems, Conceptual Modeling  and Enterprise Modeling.  Goals have been used as a useful conceptualization to elicit, analyse requirements, capturing alternatives and conflicts. 

This  keynote  reviews  the history and key ideas in Goal-Oriented Requirements Engineering  (GORE) research, giving examples of popular frameworks.  It outlines the progress that has been made in GORE, identifying the types of  its publications, the nature of the research evaluation, common topics appearing in GORE work, common frameworks, publication venues, citation distributions and primary contributors.  It also reports on the progress that has been made  in mapping/integrating/transforming goal models  to later stage software artefacts.

Jaelson Castro is a Full Professor at University  Federal de Pernambuco (UFPE), Brazil, where he leads the Requirements Engineering Laboratory (LER), since 1992. He earned his Ph.D. in 1991 from Imperial College, London. His research interests include requirements engineering, model-driven development, adaptive systems, agent-oriented development, aspect oriented development, etc. 

Prof. Castro serves on the editorial boards of the Requirements Engineering Journal (REJ) and Journal of Software Engineering and Research Development (JSERD). He also acted  as Editor in Chief of the Journal of the Brazilian Computer Society (JBCS). 

Programming the Universe: The First Commandment of Software Engineering for all Varieties of Information Systems

Since the early days of computers and programs, the process and outcomes of software development has been a minefield plagued with problems and failures, as much as the complexity and complication of software and its development has increased by a thousandfold in half a century. Over the years, a number of theories, laws, best practices, manifestos and methodologies have emerged, with varied degrees of (un)success. Our experience as software engineers of complex and large-scale systems shows that those guidelines are bound to previously defined and often narrow scopes. Enough is enough. Nowadays, nearly every company is in the software and services business and everything is - or is managed by - software. It is about time, then, that the laws that govern our universe ought to be redefined. In this context, we discuss and present a set of universal laws that leads us to propose the first commandment of software engineering for all varieties of information systems.