Identifying Modularity Improvement Opportunities in Goal-Oriented Requirements Models

Gralha, Catarina; Goulão, Miguel; Araújo, João

doi:10.1007/978-3-319-07881-6_7

Cited by 5 publications

(1 citation statement)

References 14 publications

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“…Generally, although iStar models are expressive, it is well established that they suer from issues in scalability and complexity. We acknowledge these issues, and look to recent work on modularity [47,48], as well as new advancements in tooling to help mitigate these issues.…”

Section: Discussion and Future Workmentioning

confidence: 99%

Creative goal modeling for innovative requirements

Horkoff

Maiden

Asboth

2019

Information and Software Technology

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Context] When determining the functions and qualities (a.k.a. requirements) for a system, creativity is key to drive innovation and foster business success. However, creative requirements must be practically operationalized, grounded in concrete functions and system interactions. Requirements Engineering (RE) has produced a wealth of methods centered around goal modeling, in order to graphically explore the space of alternative requirements, linking functions to goals and dependencies. In parallel work, creativity theories from the social sciences have been applied to the design of creative requirements workshops, pushing stakeholders to develop innovative systems. Goal models tend to focus on what is known, while creativity workshops are expensive, require a specic skill set to facilitate, and produce mainly paper-based, unstructured outputs.[Objective] Our aim in this work is to explore benecial combinations of the two areas of work in order to overcome these and other limitations, facilitating creative requirements elicitation, supported by a simple extension of a well-known and structured requirements modeling technique. [Method] We take a Design Science approach, iterating over exploratory studies, design, and summative validation studies.[Results] The result is the Creative Leaf tool and method supporting creative goal modeling for RE. [Conclusion] We support creative RE by making creativity techniques more accessible, producing structured digital outputs which better match to existing RE methods with associated analysis procedures and transformations.

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Section: Discussion and Future Workmentioning

confidence: 99%