Refine
Departments, institutes and facilities
- Fachbereich Informatik (62)
- Fachbereich Ingenieurwissenschaften und Kommunikation (24)
- Fachbereich Angewandte Naturwissenschaften (23)
- Institut für funktionale Gen-Analytik (IFGA) (21)
- Institute of Visual Computing (IVC) (21)
- Institut für Cyber Security & Privacy (ICSP) (17)
- Institut für Verbraucherinformatik (IVI) (17)
- Institut für Technik, Ressourcenschonung und Energieeffizienz (TREE) (14)
- Fachbereich Wirtschaftswissenschaften (11)
- Internationales Zentrum für Nachhaltige Entwicklung (IZNE) (3)
Document Type
- Conference Object (84)
- Article (73)
- Report (5)
- Part of a Book (4)
- Book (monograph, edited volume) (2)
- Conference Proceedings (2)
- Lecture (2)
- Preprint (2)
- Working Paper (2)
- Contribution to a Periodical (1)
Year of publication
- 2014 (181) (remove)
Language
- English (181) (remove)
Keywords
- FPGA (3)
- education (3)
- parallel breadth-first search (3)
- BFS (2)
- Exchangeable pairs (2)
- Garbage collection (2)
- Human Factors In Software Design (2)
- Java virtual machine (2)
- NUMA (2)
- Simulation (2)
Application systems are often advertised with features, and features are used heavily for requirements man- agement. However, often software manufacturers only have incomplete information about the features of their software. The information is distributed over different sources, such as requirements documents, issue trackers, user manuals, and code. In this paper, we research the occurrence of feature information in open source software engineering data. We report on a case study with three open source systems. We analyze what information about features can be found in issue trackers and user documentation. Furthermore, we study the abstraction levels on which the features are described, how feature information is related, and we discuss the possibility to discover such information semi-automatically. To mirror the diversity of software development contexts, we choose open source systems, which are quite different, e.g., in the rigor of issue tracker usage. The results differ accordingly. One main result is that the user documentation did not provide more accurate information than the issue tracker compared to a provided feature list. The results also give hints on how the management of feature relevant information can be supported.
Improving the study entry supports students in a decisive phase of their university education. Implementing improvements is a change process and can only be successful if the relevant stakeholders are addressed and convinced. In the described Teaching Quality Pact project evaluation data is used as a mean to discuss in the university the situation of the study programs. As these discussions were based on empirical data rather than on opinion, it was possible to achieve an open discussion about measures that are implemented. The open discussion is maintained during the project when results of the measures taken are analyzed.