scholarly journals Utilizing Software Engineering Education Support System ALECSS at an Actual Software Development Experiment: A Case Study

2019 ◽  
Author(s):  
Mika Ohtsuki ◽  
Tetsuro Kakeshita
Keyword(s):  
Software Engineering ◽  
Software Development ◽  
Engineering Education ◽  
Support System ◽  
Software Engineering Education ◽  
Education Support

scholarly journals On the Role of Learning Theories in Furthering Software Engineering Education

2011 ◽  
pp. 1645-1666 ◽  
Author(s):  
Emily Oh Navarro
Keyword(s):  
Software Engineering ◽  
Engineering Education ◽  
Large Body ◽  
Learning Theories ◽  
Valuable Resource ◽  
Software Engineering Education ◽  
Role Learning ◽  
How People Learn

Learning theories describe how people learn. There is a large body of work concerning learning theories on which to draw, a valuable resource of which the domain of software engineering educational research has thus far not taken full advantage. In this chapter, we explore what role learning theories could play in software engineering education. We propose that learning theories can move the field of software engineering education forward by helping us to categorize, design, evaluate, and communicate about software engineering educational approaches. We demonstrate this by: (1) surveying a set of relevant learning theories, (2) presenting a categorization of common software engineering educational approaches in terms of learning theories, and (3) using one such approach (SimSE) as a case study to explore how learning theories can be used to improve existing approaches, design new approaches, and structure and guide the evaluation of an approach.

scholarly journals Guidelines for using empirical studies in software engineering education

2017 ◽  
Vol 3 ◽  
pp. e131 ◽  
Author(s):  
Fabian Fagerholm ◽  
Marco Kuhrmann ◽  
Jürgen Münch
Keyword(s):  
Software Engineering ◽  
Software Development ◽  
Engineering Education ◽  
Empirical Studies ◽  
Real Life ◽  
Distributed Software ◽  
Software Engineering Education ◽  
Technological Advances ◽  
Quality Learning ◽  
Industry Training

Software engineering education is under constant pressure to provide students with industry-relevant knowledge and skills. Educators must address issues beyond exercises and theories that can be directly rehearsed in small settings. Industry training has similar requirements of relevance as companies seek to keep their workforce up to date with technological advances. Real-life software development often deals with large, software-intensive systems and is influenced by the complex effects of teamwork and distributed software development, which are hard to demonstrate in an educational environment. A way to experience such effects and to increase the relevance of software engineering education is to apply empirical studies in teaching. In this paper, we show how different types of empirical studies can be used for educational purposes in software engineering. We give examples illustrating how to utilize empirical studies, discuss challenges, and derive an initial guideline that supports teachers to include empirical studies in software engineering courses. Furthermore, we give examples that show how empirical studies contribute to high-quality learning outcomes, to student motivation, and to the awareness of the advantages of applying software engineering principles. Having awareness, experience, and understanding of the actions required, students are more likely to apply such principles under real-life constraints in their working life.

A Method for Detecting Bad Smells and its Application to Software Engineering Education

2015 ◽  
Vol 3 (2) ◽  
pp. 13-23
Author(s):  
Yuki Ito ◽  
Atsuo Hazeyama ◽  
Yasuhiko Morimoto ◽  
Hiroaki Kaminaga ◽  
Shoichi Nakamura ◽  
...  
Keyword(s):  
Software Engineering ◽  
Software Development ◽  
Engineering Education ◽  
Source Code ◽  
Software Systems ◽  
Large Source ◽  
Software Engineering Education ◽  
Meta Programming

In order to extend and maintenance software systems, it is necessary to remove factors behind bad smells from source code through refactoring. However, it is time-consuming process to detect and remove factors behind bad smells manually from large source code. And, learning how to refactor bad smells can be difficult for students because they are not yet software development experts. Therefore, the authors propose a method for detecting bad smells using declarative meta programming that can be applied to software development training. In this manner, software development training is facilitated.

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