Theories from case studies in software engineering and information systems research
Schedule and location
Research fellow Sari Kujala, Aalto University, Finland.
Empirical research methods are in widespread use in information systems and software engineering research. Broadly, there are two classes of empirical research methods, case-based methods in which the researcher studies single cases, and sample-based methods, in which the researcher studies samples selected from a population. In this tutorial I will treat case-based methods, using examples from information systems and software engineering research. We will look at the role of case study research in the engineering cycle, and discuss the structure and role of scientific theories in case study research. We will spend considerable attention to case-based inference to provide evidence for or against scientific theories. Participants will be able to apply the concepts and techniques treated in practice.
- Case-based versus sample-based research
- Types of case study: observational case studies, case-based experiments, action research
- Engineering cycle
- Problem investigation
- Technology validation
- Conceptual frameworks
- Architectural and statistical structures
- Functions of conceptual frameworks
- The structure of theories
- Functions of scientific theories: explanation and prediction
- Research context
- Research problem
- Research setup
- Inference design
- Data analysis
- Case-based versus sample-based inference
- Descriptive inference
- Abductive inference: Causal, architectural and rational explanations
- analogic inference and analytical induction
Doctoral students participating in the seminar can obtain 2 credit points. This requires participating on all of the days and completing the assignments given at the seminar.
- Wieringa, R.J. (2010) Relevance and problem choice in design science. In: Global Perspectives on Design Science Research (DESRIST 2010). pp. 61-76. LNCS 6105. Springer. http://doi.acm.org/10.1145/1555619.1555630
- Wieringa, R.J. and Morali, A. (2012) Technical Action Research as a Validation Method in Information Systems Design Science. In: Design Science Research in Information Systems (DESRIST 2012). pp. 220-238. LNCS 7286. Springer. http://dx.doi.org/10.1007/978-3-642-29863-9_17
- Wieringa, R.J. (2014) Design science methodology for information systems and software engineering. Springer. http://www.springer.com/gp/book/9783662438381
- Assignments and discussion during the tutorial
- Homework after the tutorial
This seminar is free-of-charge for Inforte.fi member organization's staff and their PhD students. For others the participation fee is 750 €. The participation fee includes access to the event and the event materials. Lunch and dinner are not included.