Refine
H-BRS Bibliography
- yes (13)
Departments, institutes and facilities
Document Type
- Conference Object (10)
- Article (1)
- Research Data (1)
- Report (1)
Has Fulltext
- no (13)
Keywords
- Empirical study (2)
- RE (2)
- Content Analysis (1)
- Empirical Study (1)
- Gender Issues in Computer Science Education (1)
- Grounded Method (1)
- Human Factors (1)
- Information Types (1)
- Issue Tracking Systems (1)
- Issue Types (1)
How Does Self-Perception Influence the Choice of Study? E-Portfolio and Gender Issues in Informatics
(2009)
In the past RE research targeted mainly the needs of RE practice in the context of larger enterprises. However, Small and Medium Enterprises (SME) develop, customize and maintain a considerable part of software. Often, these companies are unable to apply RE methods and techniques without modifications. Besides, shortcomings in applying RE methods due to time constraints or limited resources may arise.
Studierende unserer Informatik-Studiengänge sehen nach unserer Erfahrung mehrheitlich die Relevanz von Usability und User Experience für eine erfolgreiche Produktentwicklung. Gleichzeitig sind die Studierenden durch ihr Informatik-Studium von der Auseinandersetzung mit Techniken geprägt. Sie zeigen dadurch teils große Schwierigkeiten sich in einem MCI-Kurs mit von der technischen Ebene abstrahierenden Methoden zu befassen. Diese Barriere erschwert es, die Studierenden in der Breite zur Mitarbeit in MCI-Kursen oder anderen auf Methoden ausgerichteten Kursen wie bspw. Requirements Engineering zu motivieren, und stellt Dozenten damit vor Herausforderungen bei der Gestaltung von Informatik-Curricula, die über MCI-Kurse hinausgehen.
Software repository data, for example in issue tracking systems, include natural language text and technical information, which includes anything from log files via code snippets to stack traces. However, data mining is often only interested in one of the two types e.g. in natural language text when looking at text mining. Regardless of which type is being investigated, any techniques used have to deal with noise caused by fragments of the other type i.e. methods interested in natural language have to deal with technical fragments and vice versa. This paper proposes an approach to classify unstructured data, e.g. development documents, into natural language text and technical information using a mixture of text heuristics and agglomerative hierarchical clustering. The approach was evaluated using 225 manually annotated text passages from developer emails and issue tracker data. Using white space tokenization as a basis, the overall precision of the approach is 0.84 and the recall is 0.85.
In this contribution, we describe the activities and promotion programs installed at the Bonn-Rhein-Sieg University as an institution and at the Department of Computer Science respectively for increasing the total number of computer science students and in particular the female rate. We report about our experiences in addressing gender aspects in education and try to evaluate the outcome of our programs with respect to our equal rights for women strategy. We propose a closer look at mental self-theories enabled by E-portfolios to address also gender issues in Computer Science. Moreover, reasons are identified and discussed which may be responsible for the reduced interest in particular of female young adults to choose a computer science study program.
[Context and motivation] Communication in distributed software development is usually supported by issue tracking systems. Within these systems, most of the communication is stored as unstructured natural language text. The natural language text, however, contains much information with respect to requirements management, e.g. discussion, clarification and prioritization of features, bugs, and refactorings. [Question] This paper investigates the information stored in the issue tracking systems of four different open-source projects. It categorizes the text and reports on the distribution of issue types and information types. [Principal ideas/results] A manual analysis of 80 issues, using a grounded approach, is conducted to derive a taxonomy of issue types and information types. Subsequently, the taxonomy is used as a codebook, to manually categorize and structure the text in another 120 issues. [Contribution] The first contribution of this paper is the taxonomy of issue and information types and the second contribution is an in-depth analysis of the natural language data and the communication. This analysis showed, for example, that information with respect to prioritization and scheduling can be found in natural language data, whether the ITS supports such tasks in a structured way or not.
Additional figures, tables, experimant data, code, and results.
