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مراجعة لغة جافا 2
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Added by
Tishreen University محاضرة
Publication date
2019
fields
Informatics Engineering
and research's language is
العربية
Created by
mohsen ibrahim
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تهدف هذه الجلسة لمراجعة المزيد من المفاهيم الأساسية في لغة جافا و هي الصفوف التي تمثل الأنواع الأولية, الإستثنائات و المصفوفات و الحزم و الواجهات.
Here we review more java concepts such as Classes that represent primitive data types, Exceptions, arrays, interfaces and packages.
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This lecture is a review for java basics which includes: data types, variables, conditionals and loops, classes and inheritance.
In this lecture threads in Java are introduced and how they can be created and synchronized together.
Unit testing is a practical approach for increasing the correctness
and quality of software; but writing unit test code is exhausting and
tedious job; and requires a great deal of time and effort. So even
with the use of frameworks for writing and
running unit test such as
JUnit this will need a great deal of time and effort. As a
consequence, there is a pressure in writing testing code. So we
present in this paper a new method to generate unit testing
automatically in order to speed up the testing process and reduce
the cost. We have implemented this method on the Java
programming language, where we write a new specification called
JFS describes the behavior of the function in terms of input and
output. This specification is written inside the code class and is
independent of the code, and it can be written before starting the
code phase and thus achieve the principle TDD Test-Driven
Development which is based on written test-first in order to
improve the development process. After writing specification we
will generate test classes for the execution of unit testing (we used
JUnit as framework to execute unit testing) based on the new
specification.
This paper reviews and summarizes human evaluation practices described in 97 style transfer papers with respect to three main evaluation aspects: style transfer, meaning preservation, and fluency. In principle, evaluations by human raters should be t
he most reliable. However, in style transfer papers, we find that protocols for human evaluations are often underspecified and not standardized, which hampers the reproducibility of research in this field and progress toward better human and automatic evaluation methods.
Information extraction from documents has become great use of novel natural language processing areas. Most of the entity extraction methodologies are variant in a context such as medical area, financial area, also come even limited to the given lang
uage. It is better to have one generic approach applicable for any document type to extract entity information regardless of language, context, and structure. Also, another issue in such research is structural analysis while keeping the hierarchical, semantic, and heuristic features. Another problem identified is that usually, it requires a massive training corpus. Therefore, this research focus on mitigating such barriers. Several approaches have been identifying towards building document information extractors focusing on different disciplines. This research area involves natural language processing, semantic analysis, information extraction, and conceptual modelling. This paper presents a review of the information extraction mechanism to construct a generic framework for document extraction with aim of providing a solid base for upcoming research.
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