Requirements Engineering: Foundation for Software Quality: by Nina D. Fogelström, Sebastian Barney, Aybüke Aurum, Anders

By Nina D. Fogelström, Sebastian Barney, Aybüke Aurum, Anders Hederstierna (auth.), Martin Glinz, Patrick Heymans (eds.)

This publication constitutes the refereed court cases of the fifteenth overseas operating convention on necessities Engineering: starting place for software program caliber, REFSQ 2009, held in Amsterdam, The Netherlands, in June 2009.

The 14 revised complete papers have been conscientiously reviewed and chosen from forty nine submissions. The papers are geared up in thematic sections on price and possibility, swap and evolution, interactions and inconsistencies, association and structuring, adventure, elicitation, learn equipment, habit modeling, empirical experiences, and open-source RE.

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Extra resources for Requirements Engineering: Foundation for Software Quality: 15th International Working Conference, REFSQ 2009 Amsterdam, The Netherlands, June 8-9, 2009 Proceedings

Example text

The IT department must therefore understand these norms and tolerances in order to define the SLR for the service provided to Alice. When the variations in the utility become unacceptable to a stakeholder, he or she will define the service as being of poor quality. Conversely, when the states expected by a stakeholder are maintained despite perturbations, he or she is likely to declare that the service has high quality. We can therefore define the quality of a service for a given stakeholder as the adequacy between its utilities and the needs of the stakeholder and adequacy of the warranties with the stakeholder’s tolerances to variations in the utilities.

The students were instead given the option to exclude their individual results from the study, an option not utilized by any student. The intended users of MERTS, however, are product managers with several years of experience in a specific domain and product. In the experiment, the subjects have no training in using MERTS, they possess limited domain knowledge, are under time pressure, and most of them have not seen the product strategies or the requirements before. There is thus a considerable gap between the intended target group and the sample used in this experiment.

The experiment subjects were given 18 feature level requirements and asked to accomplish a considerable amount of work in a relatively short amount of time. The subjects were expected to form an understanding of the concept of product strategy and requirements triage, understand the domain (read and understand the requirements) and then take decisions whether to include or exclude a specific requirement based on the strategy supplied. The subjects were offered very little training, and they also possessed little prior knowledge regarding the domain compared to the level of a product manager in industry.

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