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Auflistung nach Schlagwort "Non-functional requirements"

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  • Konferenzbeitrag
    Are “Non-functional” Requirements really Non-functional?
    (Software Engineering 2017, 2017) Eckhardt, Jonas; Vogelsang, Andreas; Fernández, Daniel Méndez
    Non-functional requirements (NFRs) are commonly distinguished from functional requirements (FRs) by differentiating how the system shall do something in contrast to what the system shall do. This distinction is not only prevalent in research, but also influences how requirements are handled in practice. NFRs are usually documented separately from FRs, without quantitative mea- sures, and with relatively vague descriptions. As a result, they remain difficult to analyze and test. Several authors argue, however, that many so-called NFRs actually describe behavioral properties and may be treated the same way as FRs. In this paper, we empirically investigate this point of view and aim to increase our understanding on the nature of NFRs addressing system properties. Our re- sults suggest that most “non-functional” requirements are not non-functional as they describe behavior of a system. Consequently, we argue that many so-called NFRs can be handled similarly to FRs.
  • Zeitschriftenartikel
    Software Requirements Selection with Incomplete Linguistic Preference Relations
    (Business & Information Systems Engineering: Vol. 63, No. 6, 2021) Sadiq, Mohd.; Parveen, Azra; Jain, S. K.
    Software requirements (SRs) selection is a multicriteria group decision making (MCGDM) problem whose objective is to select the SRs from the pool of the requirements on the basis of different criteria. In MCGDM, different decision makers have different opinions of the same requirement so it is difficult to decide which set of SRs to implement during the different releases of the software. During the MCGDM process, decision makers may use linguistic variables to specify preferences of requirements over other requirements. In real life applications, it has been observed that sometimes decision makers cannot evaluate the SRs due to their lack of knowledge and limited expertise related to the problem domain. In this situation, incomplete linguistic preference relations (LPRs) are constructed. In literature, SRs selection with incomplete LPRs is still an unresearched problem. Therefore, to address this issue, a method is presented for the selection of SRs with incomplete LPRs. Finally, the applicability of the proposed method is explained with the help of an example.