Keynotes

 

WER

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Xavier Franch – Universidad Politécnica de Cataluña- España

KEYNOTE: Dealing with Non-Functional Requirements in Model-Driven Development 

SHORT BIO

Xavier Franch is Associate Professor at UPC, Spain. His research interests are in the areas of requirements engineering, open-source software, software architecture, and service monitoring. He has published more than 150 refereed papers in world-leading journals and international conferences. He belongs to the Editorial Board of Elsevier IST, IET Software and IJISMD and to the Steering Committee of RE, CAiSE, REFSQ and the CESI, iStar and TwinPeaks workshops. He has played different scientific roles in conferences like RE, FSE, ESEM, CAiSE, RCIS, REFSQ and ICCBSS, and belonged to more than 150 program boards and committees. He is member of IREB and ISERN. He is coordinator of the FP7 RISCOSS project and scientific manager of the H2020 SUPERSEDE project.

ESELAW

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Emilia Mendes  - Blekinge Institute of Technology (BTH) – Sweden    University of Oulu (UoO) – Finland

KEYNOTE: Improving and Estimating the Value of Decisions

SHORT BIO

Emilia Mendes is Full Professor in Computer Science at the Blekinge Institute of Technology (Sweden), and also Distinguished Finnish Professor at the University of Oulu (Finland). She obtained her PhD in Computer Science from the University of Southampton (UK) in 1999, and then initiated her full time academic career at the Computer Science Department at the University of Auckland (NZ), where she worked for 12 years. After leaving NZ, and prior to moving to Sweden, she was Associate Professor at Zayed University (UAE) for a year. Her main research contributions were made to date in the application of machine learning techniques to Web and software effort estimation; however, she also carries out research in collaboration with colleagues and via the supervision of PhD students, in a wider spectrum of research topics (e.g. value-based decision making, software process improvement, personality in software development teams, computer science education, machine learning applied to healthcare).

Overall, she has authored/co-authored over 200 research papers at international journal & conference, with seven best paper awards to date (2 at ESEM).  She is the co-editor of a book (2005 - Web Engineering) and sole author of two books (2007 - Cost Estimation Techniques for Web Projects; 2014 – Practitioner’s Knowledge Representation: a pathway to improve software effort estimation). Finally, she worked in the ICT industry for ten years as programmer, business analyst and project manager prior to moving to the UK in the end of 1995 to initiate her PhD studies.

 

SET

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Óscar Dieste - Universidad Politécnica de Madrid- España

KEYNOTE: ¿Is It Possible to Build General, Empirically-Backed Knowledge in Software Engineering?

SHORT BIO

Oscar Dieste is professor at the Pontificia Universidad de Madrid. Previously, he was a researcher at the Universidad Politécnica de Madrid (within the Ramon y Cajal and Juan de la Cierva programs) and the University of Colorado at Colorado Springs (as Fulbright Scholar). He has also been professor at the Universidad Complutense de Madrid and  Universidad Complutense Alfonso X el Sabio.

His teaching and research interests lie mainly in Requirements Engineering. In particular, he has studied the requirements elicitation activity, both from the point of view of elicitation techniques as well as human factors and the influence  of the problem domain. In the particular area of ​​Empirical Software Engineering, Oscar Dieste has also made methodological contributions.

Oscar Dieste has been PC Chair at several relevant conferences in Software Engineering such as ESEM, PROFES or WER. He is also part of the program committees of other international conferences like EASE or CIBSE. He has published about 20 journal articles and book chapters, and more than 40 conference contributions.

Oscar Dieste has a degree in Computer Science from the Universidad de La Coruña and a PhD in Computer Science from the Universidad de Castilla-La Mancha.