The VisualAORE DSL

Oliveira, Ana Rita; Araújo, João; Amaral, Vasco

doi:10.1109/rev.2010.5625665

Cited by 4 publications

(3 citation statements)

References 7 publications

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“…The contemporary approach of goal-oriented model ] has enormously driven the importance of the visual notation in the RE field. Other visualization techniques adapted and researched in identifying and modularizing requirements are, for instance, the Aspect-Oriented Requirements Engineering (AORE) [Oliverira et al(2010)] and physualization material such as stickers, markers and sketchpads [Callele (2010)]. Scenariobased approach has also been accepted successfully as a prominent tailor to bridge the communication impediments among multifaceted stakeholders [Sutcliffe et al (2011)].…”

Section: State-of-the-artmentioning

confidence: 99%

Can icons enhance requirements engineering work?

Khanom

Heimbürger

Kärkkäinen

2015

Journal of Visual Languages & Computing

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Section: State-of-the-artmentioning

confidence: 99%

Can icons enhance requirements engineering work?

Khanom

Heimbürger

Kärkkäinen

2015

Journal of Visual Languages & Computing

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“…Alternatively, we could have selected from the U.S. economy the Enron case with falsification of balance sheets, [47]. Josef Ackermann, born 1948, was the chairman of the board of directors 2002-2012, and was responsible for all claims.…”

Section: A Short History Of Data Fraudmentioning

confidence: 99%

Enterprise Information Systems

Cordeiro¹,

Hammoudi

Maciaszek

et al. 2015

Lecture Notes in Business Information Processing

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The "food safety" issue has concerned governments from several countries. The accurate monitoring of agriculture have become important specially due to climate change impacts. In this context, the development of new technologies for monitoring are crucial. Finding previously unknown patterns that frequently occur on time series, known as motifs, is a core task to mine the collected data. In this work we present a method that allows a fast and accurate time series motif discovery. From the experiments we can see that our approach is able to efficiently find motifs even when the size of the time series goes longer. We also evaluated our method using real data time series extracted from remote sensing images regarding sugarcane crops. Our proposed method was able to find relevant patterns, as sugarcane cycles and other land covers inside the same area, which are really useful for data analysis.

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“…These methods are used to detect the crosscutting concerns in the various levels of software development process and such detection at initial stage is cheaper, faster and more advantageous than doing the modifications later on-the-fly [12,19,22,23].…”

Section: Introductionmentioning

confidence: 99%