2014
DOI: 10.1109/tse.2014.2322368
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GEA: A Goal-Driven Approach toDiscovering Early Aspects

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Cited by 6 publications
(5 citation statements)
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“…In [29], an extensive comparative analysis on the Theme/Doc approach and Multidimensional Separation of Concerns for Requirements Engineering (MDSOCRE) was performed, concluding that MDSOCRE focuses on the analyst's domain knowledge, and Theme/Doc analyses the requirements language while looking for the concern name [29]. The performance of the proposed method was verified by comparing it with goal-based AORE [16], viewpoint-based AORE [1], and multidimensional separation of concerns in requirements engineering [15] methods. Table V shows a brief comparison.…”
Section: Comparative Analysis Of Cb-aore With Other Aore Modelsmentioning
confidence: 99%
See 1 more Smart Citation
“…In [29], an extensive comparative analysis on the Theme/Doc approach and Multidimensional Separation of Concerns for Requirements Engineering (MDSOCRE) was performed, concluding that MDSOCRE focuses on the analyst's domain knowledge, and Theme/Doc analyses the requirements language while looking for the concern name [29]. The performance of the proposed method was verified by comparing it with goal-based AORE [16], viewpoint-based AORE [1], and multidimensional separation of concerns in requirements engineering [15] methods. Table V shows a brief comparison.…”
Section: Comparative Analysis Of Cb-aore With Other Aore Modelsmentioning
confidence: 99%
“…Context is any information that can be used to characterize the situation of an entity, such as a person, place, or object, necessary for the interaction between the user and the application [14]. This model was inspired by the multidimensional approach for separating concerns and identifying homogeneous crosscutting concerns [15][16]. Homogeneous cross-cutting concerns are concerns that add the same behavioral variation at multiple points in the program [11].…”
Section: Introductionmentioning
confidence: 99%
“…Goal-Driven Approach to Discovering Early Aspects [7] is an extended approach to aspect discovery proposed by Jonathan Lee. Formulation, construction, classification, and identification are four important phases in GEA process.…”
Section: Geamentioning
confidence: 99%
“…Although aspect-orientation is flexible and has received some attention by researchers [6,57,61], there are important methodological and technical differences between traits and aspects. Aspects were introduced to deal with crosscutting concerns and provide a mechanism to modulate and reuse them.…”
Section: Aspect-orientationmentioning
confidence: 99%