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Department of Informatics s.e.a.l

PhD Seminar: Qualitative Methods in Software Engineering, FS 11

Synopsis

Many important phenomena in the practice of software engineering resist reliable quantification. Human processes are particularly adverse to traditional measurement. What motivates developers to make certain design decisions? How do developers learn to integrate in a new environment? Why do developers use tools a certain way?

Software engineering researchers are increasingly turning to qualitative methods to answer questions about complex human behavior in software engineering.

This two-part seminar will provide a hands-on introduction to qualitative methods in software engineering.

Seminar Topics

The seminar will address the following topics, interleaving short presentations, discussions, and exercises.

  • Research questions suited for qualitative methods.
  • Types of qualitative methods.
  • Qualitative data collection.
  • Qualitative data analysis techniques.
  • Quality and reliability in qualitative studies.
  • Reporting on qualitative data.

Organization

Lecturer: Prof. Dr. Martin Robillard
McGill University, Canada, visiting professor in spring term 2011
Contact: Room BIN 2.A.03, or by email
Schedule: Wed April 20 and Wed April 27, 2011
13.00-16.00, seminar room 1.D.07
Registration: by email to Yvonne Engeler
Target audience: PhD students
Credits: 1 ECTS credit point

Seminar Format

The seminar will be split in 2 parts of 3 hours each.

Part I-A: - Overview

Presentation: Introduction to Qualitative Methods and Research Questions
Exercise: Writing Research Questions
Discussion: Research Questions

Break

Presentation: Data collection and analysis techniques
Discussion: Choosing a type of qualitative Study
Exercise: Designing a qualitative study
Discussion: Critique of qualitative studies. Validity and reliability.

Part II - Case Studies

Students will complete, in groups, the critique of a qualitative study chosen from a list of choices. The critique will include a description of the questions, methods, and data analysis techniques involved in the study. Groups will then present their report. A guided discussion of the trade-offs of each study design will follow.

Main References

There is a wealth of references of empirical methods for software engineering. For example, see Steve Easterbrook's collection. This seminar will mainly draw on two overview texts:

Weiterführende Informationen

Title

Teaser text