Keeping old software systems active and up to date has always a source of numerous challenges: evolving the structure of the systems to embrace new development directions, maintaining an acceptable level of quality in an ever changing code base, keeping pace with the evolution of practices and technologies, finding and motivating developers to work with obsolete technologies, ...
With the advances of technologies, like Artificial Intelligence, new "types" of software systems are appearing that will need to evolve too.
We seek novel contributions on how to help developers evolve software systems. If the subject of software evolution research is as old as computing itself, it needs to tap into novel research areas, for example novel solutions based on artificial intelligence and data mining are emerging; novel artifacts are used including social medias (eg: stackoverflow).
Topics of interest include, but are not limited to:
Artificial intelligence applied to software evolution
Evolution of Artificial Intelligence systems
Human aspects of software maintenance and comprehension
Software maintenance methods, techniques and tools
Change and defect management
Code smells detection and visualization
Software refactoring and restructuring
Reverse engineering and re-engineering
Empirical studies on software maintenance and comprehension
Software quality assessment
Technical debt in software maintenance
Chair: Nicolas Anquetil, INRIA & University of Lille-1, France
Abdelhak-Djamel Seriai, University of Montpellier, France
Alexandros Chatzigeorgiou, University of Macedonia, Greece
Andres Diaz Pace, ISISTAN-CONICET and UNICEN University, Argentina
Apostolos Ampatzoglou, University of Macedonia, Greece
Bartosz Walter, Poznan University of Technology, Poland
Christelle Urtado, IMT Mines Alès, France
Christopher Fuhrman, ETS - École de Technologie Supérieure, Canada
Claudia Raibulet, Universita' degli Studi di Milano-Bicocca, Italy
Elena María Navarro Martínez, University of Castilla-La Mancha, Spain
Fabio Palomba, University of Salerno, Italy
Gordana Rakic, University of Novi Sad, Serbia
Helge Pfeiffer, IT University of Copenhagen, Denmark
Janes Andrea, Free University of Bozen-Bolzano, Italy
Jennifer Pérez, Universidad Politécnica de Madrid, Spain
Lavazza Luigi, Università degli Studi dell'Insubria, Italy
Miguel Goulão, Universidade Nova de Lisboa, Portugal
Morasca Sandro, Università degli Studi dell'Insubria , Italy
Steve Counsell, Brunel University, UK
Yania Crespo, Universidad de Valladolid, Spain
Nicolas Anquetil completed his PhD in 1996 at University of Montréal. Since then, he worked successively at University of Ottawa (Canada), Federal University of Rio de Janeiro (Brazil), Catholic University of Brasilia (Brazil), and École des Mines de Nantes (France). He is now Associate Professor (MCF/HDR) at University of Lille and member of the RMod research team (affiliated with the LIFL --Laboratoire d'Informatique Fondamentale de Lille-- a joint laboratory between University of Lille, CNRS, and Inria).
His research interests cover about anything that has to do with software maintenance and evolution. Currently, in the INRIA/RMod team, he is working on reverse engineering which aims at providing technical solutions to help people understand better and modify legacy software. For example, he works on software re-structuring, or how to help re-organizing a legacy software into coherent modules. Because "We cannot control what we cannot measure", he is also interested in software quality topics, to measure the maintenance activity and legacy software.