Seminar: Using empirical methods to conduct rigorous computer research

22 visits  
EnglishEspañol
   

Dates: 12 March.

Schedule: 18 to 20 Hs.

Place: classroom 104

Teachers: Marcela Genero Bocco (UCLM) Contact: marcela.genero@uclm.es

Hearing: This course is aimed at PhD students, master's degree and researchers in computer science in general.

Objectives:

  • To help participants understand the need for rigorous research methods to validate the different contributions made in their research.
  • Let participants know the main features of research methods used in computer science (Experiments, case studies, Surveys, systematic reviews of literature, etc.), analyzing its pros and cons.
  • Provide participants with relevant literature on research methods. Literature not only at the theoretical/methodological level but also at the practical level, good examples published in internationally renowned forums.

Agenda:

  • Introduction to research methods
  • Secondary and tertiary research methods
    • Systematic reviews of literature
    • Systematic mapping of literature
    • Tertiary studies
  • Primary research methods
    • Experiments
    • Surveys
    • Case studies
    • Research in action
    • Combination of methods

        Bibliography:

        • Dybo, n, Kitchenham, A.. Jørgensen, M. (2005). Evidence-Based Software Engineering for Practitioners. IEEE Software 22(1): 58-65.
        • Gender, M., Cruz-Lemus, J.a., Piattini, M. (2014). Software Engineering Research Methods. Branch.
        • Kitchenham, B., Charters, S. (2007). Guidelines for performing Systematic Literature Reviews in Software Engineering (Report No. EBSE-2007-01). Durham, UK: Keele University.
        • Kitchenham, B, Budgen, D., Brereton, Q. (2016). Evidence-Based Software Engineering and Systematic Reviews. CRC Press.
        • Per Runeson, Martin Host, Austen Rainer, Bjorn Regnell. (2012). Case Study Research in Software Engineering: Guidelines and Examples. 1st ed. Wiley.
        • Petersen, K., Vakkalanka, S., Kuzniarz, L. Guidelines for Conducting Systematic Mapping Studies in Software Engineering: An Update. Information and Software Technology (2015).
        • Wohlin, C., Runeson, P., Höst. M., Ohlson, M., Regnell, B., Wesslén, A.. (2012). Experimentation in Software Engineering: An Introduction. Springer.

        Breve CV de Marcela Genero: Marcela Genero es catedrática en el Departamento de Tecnologías y Sistemas de Información de la University of Castilla-La Mancha (UCLM), Royal City, Spain. He received his PhD in computer science from UCLM in the year 2002. It belongs to the Alarcos Research Group since the year 1999. His research interests include empirical software engineering, research methods, software quality, empirical assessment of modeling approaches and quality in Big Data. This is (Co)author of more than 30 articles in JCR magazines and more than 100 posts at peer-reviewed conferences. (Co)edited books entitled "Data and Information Quality" (Kluwer, 2001) and "Metrics for Software Conceptual Models" (Imperial College, 2005), "Software Engineering Research Methods" (Branch, 2014), among others. It has organized more than 30 conferences, workshops and tutorials and managed more than a dozen research projects/contracts involving universities and companies, related issues within the research areas mentioned above. He was General Chair of the ACM/IEEE ESEM 2016 and PROGRAM Co-Chair by EASE 2012 and CIBSE 2018. He is a member of the International Software Engineering Research Network (Isern) from 2004.