2021
DOI: 10.1007/s00766-021-00350-8
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Formal reasoning for analyzing goal models that evolve over time

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Cited by 12 publications
(3 citation statements)
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“…Formal reasoning for analyzing goal models that evolve over time [30]. The study empirically showed that requirements are not elicited in the strict sense but co-created through interviews, with analysts playing a crucial role in the process.…”
Section: Aims Main Contributions Main Limitationsmentioning
confidence: 99%
“…Formal reasoning for analyzing goal models that evolve over time [30]. The study empirically showed that requirements are not elicited in the strict sense but co-created through interviews, with analysts playing a crucial role in the process.…”
Section: Aims Main Contributions Main Limitationsmentioning
confidence: 99%
“…Thus, the analysts keep working using the collected knowledge and their expertise trying to get closer to the three Cs at every step of the process. Grubb and Chechik [30,32] focus on the early stage of requirements evolution, but they look at the modeling phase. In particular, they propose to use goal model analysis to help stakeholders to answer what if questions to support the evolution of a system considering different scenarios, as well as the customer in understanding trade-offs among different decisions.…”
Section: Early Requirements Evolutionmentioning
confidence: 99%
“…These SRs are related to evolutionary and awareness requirements [59] which need to be implemented before use in design of the software architecture, even though their benefits are only realized in longer-term use. Modelling user acceptance requirements using game paradigms [60] could be used to explore evolution of the impact of SRs over time More formal modeling of SRs and their implications may be developed using the evolutionary intentions framework [61] to explore change in goal dependency models over time. However, the road to formalization of SRs may need to follow a more probabilistic rather than deterministic route since many SR are assumptions which may influence goals (or FRs) to a greater or lesser degree.…”
Section: Soft Requirements and Technology Acceptancementioning
confidence: 99%