DISE18: Data-Driven Software Engineering Lima, Peru, September 3-5, 2018 |
Conference website | http://simbig.org/SIMBig2018/en/dise.html |
Submission link | https://easychair.org/conferences/?conf=dise18 |
Submission deadline | June 7, 2018 |
Being 2018 a special year for celebrating 50 years of tremendously successful of research, education and practices in software engineering (SE), SIMBig is pleased to present the DISE (Data-drIven Software Engineering) track for its first edition. Thanks to the era of data, software engineering has gained ground in many fields introducing new technologies to support most of human actions from housework to military actions. Hence, the DISE track aims to provide an open forum for researchers, practitioners and educators in Peru and Latin America i) to discuss their current work on data-driven software engineering practices ii) to share experiences on the usage of data science methods and tools in solving problems of software engineering and iii) to identify the main challenges on the topic of knowledge transfer between data science and software engineering communities.
Submission Guidelines
All papers must be original and not simultaneously submitted to another conference. Papers should be submitted in PDF format. They must be unpublished and must not be under review elsewhere. Submissions must be done through easychair following the ACL template in latex (http://simbig.org/SIMBig2018/download/acl18-latex.zip) or word (http://simbig.org/SIMBig2018/download/acl18-word.zip).
Accepted papers will be presented at DISE track, published in Springer and indexed in DBLP. We look forward full papers (up to 10 pages) and short papers (up to 5 pages).
Topics
- Data-driven search based software engineering
- Model-driven software engineering for exploiting users and contextual data
- Data-driven software evolution and maintenance
- Data-driven software adaptation
- Data-driven for self-* (self-management, self-adaptation, self-protection, etc.) systems
- Data-driven security and privacy
- Data-driven software testing
- Data-driven requirement engineering
- Affective software engineering
- Data-driven educational SE
- Crowdsourcing for SE
- Ethical issues on data collection and exploitation
- Platforms and Infrastructure for data-driven SE
- Data-driven design pattern for SE
- Data-driven software quality and sustainability
- Non-functional aspects of Big Data processing
Committees
Program Committee
- Alejandro Catala (University of Twente, The Netherlands)
- Cristian Lopez (Universidad de la Salle, Peru)
- Daniel Rodriguez (Universidad de Alcalá, Spain)
- David Gomez-Jauregui (ESTIA, France)
- Davide Fucci (University of Hamburg, Germany)
- Dietmar Pfahl (University of Tartu, Estonia)
- Itzel Morales-Ramirez (Infotec, Mexique)
- Joao Araujo (Universidade Nova de Lisboa, Portugal)
- Jose Antonio Pow Sang (PUCP, Peru )
- Lizeth Tapia (University of Oslo, Norway)
- Manuel Munier (Université de Pau et des Pays de l'Adour, France)
- Nazim Madhavji (University of Western Ontario, Canada)
- Nour Ali (Brunel University London, UK)
- Oscar Pastor (Universitat Politècnica de València, Spain)
- Vanea Chiprianov (Université de Pau et des Pays de l'Adour, France)
- Vincent Lalanne (Université de Pau et des Pays de l'Adour, France)
- Yuanyuan Zhang (University College London, UK)
- Yudith Cardinale (Universidad Simon Bolivar, Venezuela)
Organizing committee
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Denisse Muñante (FBK-Italy)
-
Carlos Gavidia (UCL-UK)
- Nelly Condori-Fernandez (UDC-Spain, VU-The Netherlands)
Venue
The conference will be held in University of Pacífico, Lima-Perú.
Contact
All questions about submissions should be emailed to Denisse Muñante (munante@fbk.eu)