In system development life cycle (SDLC), a system model can be developed using Data Flow Diagram (DFD). DFD is graphical diagrams for specifying, constructing and visualizing the model of a system. DFD is used in defining the requirements in a graphical view. In this paper, we focus on DFD and its rules for drawing and defining the diagrams. We then formalize these rules and develop the tool based on the formalized rules. The formalized rules for consistency check between the diagrams are used in developing the tool. This is to ensure the syntax for drawing the diagrams is correct and strictly followed. The tool automates the process of manual consistency check between data flow diagrams.
Abstract. Consistency is the situation where two or more overlapping elements of different diagrams that describe the behavior of system are jointly satisfiable. It is one of the attributes to measure the quality of UML model. Even though the research on consistency between diagrams is rapidly increased, there is still lack of research of consistency driven by use case. Therefore, this paper will define elements of use case and activity diagram, also consistency between them using logic approach. Based on an example of UML model consists of both diagrams, we show how the diagrams fulfilled our proposed consistency rules. Furthermore, the elements involved in the consistency rules are detected and formally reasoned.
Abstract. Understanding the climate change effects on local crops is vital for adapting new cultivation practices and assuring world food security. Given the volume of palm oil produced in Malaysia, climate change effects on oil palm phenology and fruit production have greater implications at both local and international scenes. In this context, the paper looks at analysing the recent climate change effects on oil palm yield within a five year period (2007)(2008)(2009)(2010)(2011) at the regional scale. The hybrid approach of data mining techniques (association rules) and statistical analyses (regression) used in this research reveal new insights on the effects of climate change on oil palm yield within this small data set insufficient for conventional analyses on their own.
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