scholarly journals A Case to Do Empirical Study Using Educational Projects

10.28945/2813 ◽  
2004 ◽  
Author(s):  
Mingyang Gu

Nowadays, many empirical studies are carried out based on educational projects. In these cases, instructors put forward requirements on educational projects from the perspective of education, and researchers also provide their requirements from the perspective of empirical study. How to design educational projects successfully from both educational perspective and research perspective becomes a practical challenge. In this paper, we present a successful case to resolve this problem: we designed two educational projects in a software architecture course, based on which an empirical study about creativity in software development was carried out. Our methods to design these educational projects can be reused for other software engineering courses associated with empirical study.

2017 ◽  
Vol 3 ◽  
pp. e131 ◽  
Author(s):  
Fabian Fagerholm ◽  
Marco Kuhrmann ◽  
Jürgen Münch

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.


2019 ◽  
Vol 46 (2) ◽  
pp. 258-272
Author(s):  
Mitali Chugh ◽  
Nitin Chanderwal ◽  
Rajesh Upadhyay ◽  
Devendra Kumar Punia

The software development industry is characterised by swift innovation and competition. To survive, software engineering (SE) organisations need to develop high-quality software products in a timely fashion and at low cost. Knowledge-based approaches to software development are extremely supportive to acquiring new knowledge and leveraging existing knowledge from software projects; this enables constant improvement of software development practices. In this empirical study of Indian SE organisations, we study the impact of managing knowledge for perceived software process improvement (PSPI) and its effect on software product quality. Information technology (IT) in knowledge management (KM) is an important facilitator for any SE organisation desiring to exploit evolving technologies for management of their knowledge assets and for carrying out various KM processes of knowledge capture, storage, retrieval and sharing. Surveys collected from Indian SE organisations were analysed to propose a model using a structured equation modelling (SEM) technique. Our findings reveal that the relation between KM and quality of software product is positively mediated by PSPI. These findings reinforce an arena that is of growing importance to researchers and practitioners and which has seen only a limited number of empirical studies to date in the context of Indian SE organisations.


2021 ◽  
Vol 11 (11) ◽  
pp. 4793
Author(s):  
Cong Pan ◽  
Minyan Lu ◽  
Biao Xu

Deep learning-based software defect prediction has been popular these days. Recently, the publishing of the CodeBERT model has made it possible to perform many software engineering tasks. We propose various CodeBERT models targeting software defect prediction, including CodeBERT-NT, CodeBERT-PS, CodeBERT-PK, and CodeBERT-PT. We perform empirical studies using such models in cross-version and cross-project software defect prediction to investigate if using a neural language model like CodeBERT could improve prediction performance. We also investigate the effects of different prediction patterns in software defect prediction using CodeBERT models. The empirical results are further discussed.


2016 ◽  
Vol 4 (4) ◽  
pp. 35-55 ◽  
Author(s):  
Md Rakibul Islam ◽  
Minhaz F. Zibran

Software development is highly dependent on human efforts and collaborations, which are immensely affected by emotions. This paper presents a quantitative empirical study of the emotional variations in different types of development activities (e.g., bug-fixing tasks), development periods (i.e., days and times) and in projects of different sizes involving teams of variant sizes. The study also includes an in-depth investigation of emotions' impacts on software artifacts (i.e., commit messages) and exploration of scopes for exploiting emotional variations in software engineering activities. This work is based on careful analyses of emotions in more than 490 thousand commit comments across 50 open-source projects. The findings from this work add to our understanding of the role of emotions in software development, and expose scopes for exploitation of emotional awareness in improved task assignments and collaborations.


Author(s):  
Md Rakibul Islam ◽  
Minhaz F. Zibran

Software development is highly dependent on human efforts and collaborations, which are immensely affected by emotions. This paper presents a quantitative empirical study of the emotional variations in different types of development activities (e.g., bug-fixing tasks), development periods (i.e., days and times) and in projects of different sizes involving teams of variant sizes. The study also includes an in-depth investigation of emotions' impacts on software artifacts (i.e., commit messages) and exploration of scopes for exploiting emotional variations in software engineering activities. This work is based on careful analyses of emotions in more than 490 thousand commit comments across 50 open-source projects. The findings from this work add to our understanding of the role of emotions in software development, and expose scopes for exploitation of emotional awareness in improved task assignments and collaborations.


2012 ◽  
Vol 263-266 ◽  
pp. 1838-1843 ◽  
Author(s):  
Ming You Ying ◽  
Min Xie ◽  
Ze Hui Chen ◽  
Qiong Wu ◽  
Jing Xian Chen

In software engineering, the problem on obtaining software architecture possessing the framework for satisfying requirements, and properties of playing roles as the technical basis and the managerial basis in software development process has not yet been solved. It is necessary to first solve a partial software architecture problem to get breakthrough. This paper focuses on a small part of MIS software, namely a user requirement assemble, and addresses issues on its structure pattern and architecting. Through the approach – to induce rationale from scenarios and to deduce structure from rationale, it is found that there exists a pattern so called as ‘multiple interfaces plus a functional calculator (MI+C in short)’ structure for all kinds of the assembles, which can be deployed as the technical basis for design and the managerial basis for the development process.


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