Fuzzy Ontology for Requirements Determination and Documentation During Software Development

Every business has an underlying information system. Quality and creditability of a system depend mainly on provided requirements. Good quality requirements of a system increase the degree of quality of the system. Hence, requirements determinations is of prime importance. Inadequate and misunderstood requirements are major problems in requirements determination. Major stakeholders of the requirements are non-computer professional users, who may provide imprecise, vague, and ambiguous requirements. Further, the system development process may be partly automated and based on platform such as web or Semantic Web. In this case, a proper ontology to represent requirements is needed. The chapter proposes a fuzzy RDF/XML-based ontology to document various requirements. A generic architecture of requirements management system is also provided. To demonstrate the presented approach, a case of student monitoring and learning is presented with sample software requirements specifications and interfaces to collect requirements. The chapter concludes with advantages, applications, and future enhancements.

Anforderungsermittlung für adaptive Stützen und Aussteifungselemente in Tragkonstruktionen/Requirements Determination for Adaptive Supports and Bracing Elements in Building Structures

Inhalt Die Auslegung von konventionellen Gebäudetragwerken orientiert sich an der kritischen Lastfallkombination. Jedoch tritt dieser Fall nur sehr selten oder nie auf. Somit ist dieses für die überwiegend auftretenden Lasten überdimensioniert. Bei adaptiven Tragwerken beeinflussen integrierte Sensor-Aktor-Systeme gezielt den Lastabtrag. Dadurch können Maximalbeanspruchungen einzelner Tragwerkselemente reduziert werden. Wird dies bei der Dimensionierung berücksichtigt, können der Materialeinsatz und die Treibhausgasemissionen über alle Phasen des Lebenszyklus reduziert werden. Dieser Beitrag stellt die Grundlagen zu adaptiven Tragwerken und die Anforderungsermittlung an das Aktorsystem für das adaptive Demonstrator-Hochhaus vor, das im Frühjahr 2021 an der Universität Stuttgart errichtet wurde.

SOFTWARE FOR RECORDING AND CAPTURE VIDEO SEQUENCES FOR POULTRY AND LAYING HENS FACILITY (BIOTERIUM)

Behavior can sometimes be observed directly, and can also be affected by the presence of human observers. Technological devices have strongly advanced our understanding of certain aspects of animal behavior, and the small cameras borne in a straight line by study animals offer a reliable alternative to direct observation. One possible way to make animal welfare assessments easier and faster could be the application of audio and video data analysis. In this research, the main goal is to reach the requirements determination, and the construction to build a concurrent alternative to CCTV software based on new proprietary software, developed in Matlab® language, to record and capture video sequences in digital memory hardware. The proposed software stakeholders’ needs are written attending the specification in the ISO/IEC/IEEE 29148:2011 standard, and the life cycle adapted to the development was based in the standard ISO/IEC/IEEE 12207:2008. The main user interface was generated using the Matlab® GUI (Graphical User Interface). In the results, a resumed table with the final document of Requirement Specification (StRS) was generated and the main interface is coded. The system validation took place in the animal houses (bioterium) over a period of three months and the data collection and software usability reach the attendance to all the requirements listed. Thus, in the conclusions, it was observed that its users considered the developed software a good tool to help researches in the poultry and laying hens’ facility (bioterium).

Fuzzy Ontology for Requirements Determination and Documentation During Software Development

Every business has an underlying information system. Quality and creditability of a system depend mainly on provided requirements. Good quality requirements of a system increase the degree of quality of the system. Hence, requirements determinations is of prime importance. Inadequate and misunderstood requirements are major problems in requirements determination. Major stakeholders of the requirements are non-computer professional users, who may provide imprecise, vague, and ambiguous requirements. Further, the system development process may be partly automated and based on platform such as web or Semantic Web. In this case, a proper ontology to represent requirements is needed. The chapter proposes a fuzzy RDF/XML-based ontology to document various requirements. A generic architecture of requirements management system is also provided. To demonstrate the presented approach, a case of student monitoring and learning is presented with sample software requirements specifications and interfaces to collect requirements. The chapter concludes with advantages, applications, and future enhancements.