Tool-supported identification of functional concerns in object-oriented code

Concern identification aims to find the implementation of a functional concern in existing source code. In this work, concerns are described, using the Hierarchic Concern Model, as gray-boxes containing subconcerns, inputs, and outputs. The inputs and outputs are used as concern seeds to identify data-oriented abstractions of concern implementations, called concern skeletons. The identification approach is based on context free language reachability and supported by a tool, called CoDEx

Tool-supported identification of functional concerns in object-oriented code

Concern identification aims to find the implementation of a functional concern in existing source code. In this work, concerns are described, using the Hierarchic Concern Model, as gray-boxes containing subconcerns, inputs, and outputs. The inputs and outputs are used as concern seeds to identify data-oriented abstractions of concern implementations, called concern skeletons. The identification approach is based on context free language reachability and supported by a tool, called CoDEx

Big Data Components for Business Process Optimization

In these days, more and more people talk about Big Data, Hadoop, noSQL and so on, but very few technical people have the necessary expertise and knowledge to work with those concepts and technologies. The present issue explains one of the concept that stand behind two of those keywords, and this is the map reduce concept. MapReduce model is the one that makes the Big Data and Hadoop so powerful, fast, and diverse for business process optimization. MapReduce is a programming model with an implementation built to process and generate large data sets. In addition, it is presented the benefits of integrating Hadoop in the context of Business Intelligence and Data Warehousing applications. The concepts and technologies behind big data let organizations to reach a variety of objectives. Like other new information technologies, the main important objective of big data technology is to bring dramatic cost reduction

Big Data: present and future

The paper explains the importance of the Big Data concept, a concept that even now, after years of development, is for the most companies just a cool keyword. The paper also describes the level of the actual big data development and the things it can do, and also the things that can be done in the near future. The paper focuses on explaining to nontechnical and non-database related technical specialists what basically is big data, presents the three most important V's, as well as the new ones, the most important solutions used by companies like Google or Amazon, as well as some interesting perceptions based on this subject

Isolation of bacteria from soil surrounding of rafflesla Kerri Meijer in Lojing Highlands, Kelantan

Upstream Lojing Highland, Kelantan is chosen as the study area to isolate the bacteria from soil surrounding the Rafflesia kerri flower. Rqf/lesia kerri is attraction for tourist in the Lojing Highlands. The objectives of this study is to assess the distances association of soil bacteria from Rqfflesia kerri by identify the morphology characteristics of soil bacteria using Gram staining method. Soil samples were collected with different distances from the Rafflesia flower which are 20, 40 and 60 meters. A total number of 34 isolated bacteria were obtained growth on the Nutrient Agar plate. Gram staining method was used to determine Gram positive and negative bacteria by observed under light microscope. Morphology characteristics bacteria were characterized through form and Gram staining. The percentage form of bacteria obtained are as follows: irregular (38%), filamentous (29%), spindle and rhizoid both (12%) and circular (9%). Irregular form is the common shape for soil bacteria. Result from the Gram staining shows 65% of bacteria are from the Gram positive bacteria, meanwhile Gram negative are 35%. The results also identified that five species of bacteria inhabited on soil surrounding of Rqf/lesia kerri flower as follows: Corynebaclerium diphrheriae. Bacillus sublilis. Staphylococcus aureus, Escherichia coli and Spirilium volurans. As conclusion, number of colonies of soil sample collected from distances near to Rafllesia kerri ‘flower higher than distances far to flower and mostly the soil bacteria collected is irregular form and positive Gram bacteria

Şantierul arheologic Suceava. Raport preliminar asupra săpăturilor din campania anului 1955 / Le chantier archéologique de Suceava

Nestor Ion, Diaconu Gheorghe, Matei Mircea D., Martinovici Trifu, Constantinescu Nicolae, Olteanu Ştefan. Şantierul arheologic Suceava. Raport preliminar asupra săpăturilor din campania anului 1955 / Le chantier archéologique de Suceava. In: Materiale şi cercetări arheologice, N°4 1957. pp. 239-278