By Roger Lee (eds.)
ISBN-10: 3319105086
ISBN-13: 9783319105086
ISBN-10: 3319105094
ISBN-13: 9783319105093
This edited ebook provides medical result of the 13th IEEE/ACIS overseas convention on laptop and data technology (ICIS 2014) which used to be hung on June 4-6, 2014 in Taiyuan, China. the purpose of this convention used to be to compile researchers and scientists, businessmen and marketers, lecturers, engineers, desktop clients, and scholars to debate the various fields of machine technology and to proportion their stories and alternate new rules and data in a significant approach. learn effects approximately all points (theory, functions and instruments) of laptop and data technological know-how, and to debate the sensible demanding situations encountered alongside the best way and the strategies followed to resolve them.
The convention organizers chosen the simplest papers from these papers authorized for presentation on the convention. The papers have been selected in accordance with evaluation ratings submitted by way of participants of this system committee, and underwent extra rigorous rounds of overview. This ebook captures 14 of the conference’s so much promising papers, and we impatiently look forward to the $64000 contributions that we all know those authors will carry to the sphere of machine and data science.
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Example text
We consider its original meaning as defined in [3, 4]: Dependability is the quality of the delivered such that reliance can justifiably be placed on this service. It could be typically divided into a number of aspects namely Avizienis et al. [4]: (functional) correctness, safety, security, reliability, availability, transparency and traceability. Each dimension includes analysis techniques, assessment methods and measures. Ubiquitous learning environments come with requirements from all aspects of dependability.
Teaching test methods are based on an appropriate testing program that is suitable to different goals and characteristics of the teaching style. These methods implement the pre-test, the post-test of the learning scenario, and other steps to test the knowledge of students and their skills and finally determine the effectiveness of teaching scenario [16]. As shown, there are several evaluation studies. However, these methods vary widely in their evaluation scope, outcomes and techniques. In fact, in the one hand, there are generic methods that, although useful in theory, are not very applicable in practice, since they do not take into account the situatedness of the courseware evaluation, determined by the context of the learning scenario.
268–278 (2013) 19. : How to effectively use topic models for software engineering tasks? an approach based on genetic algorithms. In: 35th International Conference on Software Engineering, pp. 522–531 (2013) 20. : Using information retrieval based coupling measures for impact analysis. Empir. Softw. Eng. 14(1), 5–32 (2009) 21. : The state of software maintenance. IEEE Trans. Softw. Eng. 13(3), 303–310 (1987) 22. : Clustering methodologies for software engineering. Adv. Softw. Eng. 2012, 18. 1155/2012/792024 (2012) What Information in Software Historical Repositories Do We Need … 37 23.