Tag: QDAcity

Abstract: Qualitative Data Analysis (QDA) methods are based on manual coding of texts. To extract a domain model from a text corpus using QDA, information has to be extracted and compiled into the domain model by hand. This is especially a problem for cases where large amounts of data have to be ana...

Abstract: Requirements elicitation is an important factor in software engineering. Mainly the information needed is elicited through interviews and other qualitative sources. The analysis that follows is often an ad-hoc process that relies on expertise of the analyst(s) and therefore is hardly repli...

Abstract: Domain knowledge is a widely used but seldom defined term in research. Since every research project is located in at least one dedicated domain, its influence to the research work seems to be natural but is not investigated, especially not for qualitative research. An exploratory study was...

Abstract: Mature requirements engineering is one of the key success factors of professional software development. This thesis proposes an approach that adapts core principles of qualitative data analysis, which is well established in social science, and transforms them into a holistic method for req...

Abstract: One of the key factors of the success of professional software development is mature requirements engineering. This thesis focuses on the elicitation and analysis of requirements and addresses the process steps between the elicitation of requirements and the gathering of the system require...

Abstract: Domain analysis is the process of analyzing and modelling the domain in which a future software system is supposed to operate. It is an essential step in requirements engineering (RE) and therefore critical for the success of software development projects. However, common methods for deriv...

Abstract: Traceability is an important quality aspect in modern software development. It facilitates the documentation of decisions and helps identifying conflicts regarding the conformity of one artifact to another. We propose a new approach to requirements engineering that utilizes qualitative res...

Abstract: Qualitative data analysis is widely accepted as valid approach for inductively developing theories. The in-depth analysis of individual experience often results in novel findings, potentially explaining less common phenomena. However, to achieve valuable results, the discovery must be comp...

Abstract: The design of a domain-specific language, DSL, requires extensive technical and professional know-how. Essential is not only the creation of syntax, semantics and related tools of language, but also an extensive knowledge of the domain. In order to acquire the knowledge of domain experts, ...

Abstract: In the social sciences the process of interview analysis is often performed as a form of qualitative data analysis (QDA), to extract relevant information from transcribed interviews. A researcher performing such an analysis is usually assisted by Computer-Assisted Qualitative Data Analysis...