DISE19: Data-drIven Software Engineering Lima, Peru, August 21-23, 2019 |
Conference website | https://simbig.org/SIMBig2019/en/dise.html |
Submission link | https://easychair.org/conferences/?conf=dise19 |
Submission deadline | June 7, 2019 |
Being 2019 a special year for celebrating 50 years of tremendously successful of research, education and practices in software engineering, SIMBig is pleased to present the DISE (Data-drIven Software Engineering) for its first edition. Software engineering is the application of engineering techniques and methods to the software development. It gains more and more importance in research, high-reputed international conference series such as ICSE, ASE and ESEM offer dedicated venues for discussing research advancements in software engineering. On the other hand, 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 until military actions. 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 journal or conference. All research submissions must be in English. Submissions must be in PDF, formatted with the Springer Publications format. For details on the Springer style, here
Accepted papers will be presented at DISE track, published in Springer and indexed in DBLP. The following paper categories are welcome:
- Full papers up to 14 pages
- Short papers upt to 7 pages
- Demonstrations up to 7 pages
List of 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 (Universidad de Santiago, CITIUS, Spain)
- Joao Araujo (Universidade Nova de Lisboa, Portugal)
- Yudith Cardinale (Universidad Simon Bolivar, Venezuela)
- Vanea Chiprianov (Université de Pau et des Pays de l'Adour, France)
- Maria Fernandez Granda Juca (Universidad de Cuenca, Ecuador)
- Itzel Morales-Ramirez (Infotec, Mexico)
- Manuel Munier (Université de Pau et des Pays de l'Adour, France)
- Jose Antonio Pow-Sang (PUCP, Peru )
- Glen Rodriguez (UNMSM, Peru)
- Daniel Rodriguez (Universidad de Alcalá, Spain)
- Silvia Lizeth Tapia Tarifa (University of Oslo, Norway)
- Jovan Varga (Universitat Politècnica de Catalunya, BarcelonaTech, Spain)
Organizing committee
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Nelly Condori-Fernandez (UDC-Spain, VU-The Netherlands)
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Denisse Muñante (ESTIA, France)
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Carlos Gavidia (UCL-UK)
Venue
The conference will be held in University of Pacífico, Lima-Perú