<p>Educational Data Mining (EDM) research has taking an important place as it helps in exposing useful knowledge from educational data sets to be employed and serve several purposes such as predicting students’ achievements. Predicting student’s achievements might be useful for building and adopting several changes in the educational environments as a re-action in the current educational systems. Most of the existing research have used machine learning to predict students’ achievements by using diverse attributes such as family income, students gender, students absence and level etc. In this paper, the effort is made to explore the effectiveness of using the deep learning algorithm more precisely CNN to predict students’ achievements which could hlp in predicting if student will be able to finish their degree or not. The experimental results reveal how the proposed model outperformed the existing approaches in terms of prediction accuracy.</p>
The software system evolves and changes with the time, so the test suite must be maintained according to code changes. Maintaining test cases manually is an expensive and time-consuming activity, especially for large test suites, which has motivated the recent development of automated test-repair techniques. Several researchers indicate that software evolution shows a direct impact on test suites evolution, as they have strong relationships and they should be evolved concurrently. This article aims to provide statistical evidence of having this significant relationship between the code production and its associated test suites. Seven systems along with releases are collected and eight metrics were calculated to be used in this study. The result shows how the systems under study are evolving and have a high impact on their test suites, although two metrics provide a negative significant relationship.
Software engineering is one of computer science branches, it comprises of building and developing software systems and applications. Software engineering is a discipline that has a constant growth in research in aim to identify new technologies and adopt it in different areas; there is a considerable investment on software engineering trends at the current time due to the availability of mobile technologies. With millions of billions of smart devices that are connected to the internet, all industries around the world are rapidly becoming a technology driven industries. Software engineers are aware of programming languages that are employed to develop software systems, by applying engineering principles to development process; they can design customized software systems for individual or organizational customers. The new trends in software engineering are numerous, Cloud Computing, machine learning, deep learning, big Data, mobile Computing. Nevertheless, there are many more other research trends in software engineering's field that have been intensively explored and implemented in many different industries. In this paper, authors try to summarize the most fields that are integrated with software engineering recently.
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