72,505 research outputs found
An Approach for the Empirical Validation of Software Complexity Measures
Software metrics are widely accepted tools to control and assure software quality. A large number of software metrics with a variety of content can be found in the literature; however most of them are not adopted in industry as they are seen as irrelevant to needs, as they are unsupported, and the major reason behind this is due to improper
empirical validation. This paper tries to identify possible root causes for the improper empirical validation of the software metrics. A practical model for the empirical validation of software metrics is proposed along with root causes. The model is validated by applying it to recently proposed and well known metrics
Ethical Issues in Empirical Studies of Software Engineering
The popularity of empirical methods in software engineering research is on the rise. Surveys,
experiments, metrics, case studies, and field studies are examples of empirical methods used to
investigate both software engineering processes and products. The increased application of
empirical methods has also brought about an increase in discussions about adapting these
methods to the peculiarities of software engineering. In contrast, the ethical issues raised by
empirical methods have received little, if any, attention in the software engineering literature. This
article is intended to introduce the ethical issues raised by empirical research to the software
engineering research community, and to stimulate discussion of how best to deal with these ethical
issues. Through a review of the ethical codes of several fields that commonly employ humans and
artifacts as research subjects, we have identified major ethical issues relevant to empirical studies
of software engineering. These issues are illustrated with real empirical studies of software
engineering
Bringing Computational Thinking to Nonengineering Students through a Capstone Course
Although the concept of computational thinking has flourished, little research has explored how to integrate various elements of computational thinking into an undergraduate classroom setting. Clarifying core concepts of computational thinking and providing empirical cases that apply computational thinking practices into a real-world educational setting is crucial to the success of software engineering education. In this article, we describe the development of a curriculum for a social innovation capstone course, using core concepts and elements of computational thinking. The course was designed for undergraduate students of a liberal arts college at a university in Korea. Students were asked to define a social problem and introduced to the core concepts and processes of computational thinking aided by Arduino and Raspberry Pi programming environments. After building a business model, they implemented a working prototype for their proposed solution. We document class project outcomes and student feedback to demonstrate the effectiveness of the approach
Bringing Computational Thinking to Nonengineering Students through a Capstone Course
Although the concept of computational thinking has flourished, little research has explored how to integrate various elements of computational thinking into an undergraduate classroom setting. Clarifying core concepts of computational thinking and providing empirical cases that apply computational thinking practices into a real-world educational setting is crucial to the success of software engineering education. In this article, we describe the development of a curriculum for a social innovation capstone course, using core concepts and elements of computational thinking. The course was designed for undergraduate students of a liberal arts college at a university in Korea. Students were asked to define a social problem and introduced to the core concepts and processes of computational thinking aided by Arduino and Raspberry Pi programming environments. After building a business model, they implemented a working prototype for their proposed solution. We document class project outcomes and student feedback to demonstrate the effectiveness of the approach
Developing Educational Software: a professional tool perspective
The selection, and use of educational software and its impact in schools are still controversial issues. In this paper we present an alternative conceptualisation of educational software based on considering the software as an instrument for teachersâ professional performance. We review previous work in the areas of the design, development and evaluation of educational software and of the process of educational innovation. The review of these four areas converges to demonstrate the need for knowing and considering the context of use of educational software and for understanding users' perspectives about its roles and possibilities and hence supports a consideration a perspective on educational software which sees it as a professional tool for teachers performance of their teaching role
SLR - AnĂĄlisis del Aprendizaje Basado en Juegos Serios en las PrĂĄcticas de los Estudios de IngenierĂa
Este trabajo se trata de un AnĂĄlisis SistemĂĄtico de la Literatura del uso de los juegos serios en los estudios de ingenierĂa.15 pĂĄgina
Beyond Surveys: Analyzing Software Development Artifacts to Assess Teaching Efforts
This Innovative Practice Full Paper presents an approach of using software
development artifacts to gauge student behavior and the effectiveness of
changes to curriculum design. There is an ongoing need to adapt university
courses to changing requirements and shifts in industry. As an educator it is
therefore vital to have access to methods, with which to ascertain the effects
of curriculum design changes. In this paper, we present our approach of
analyzing software repositories in order to gauge student behavior during
project work. We evaluate this approach in a case study of a university
undergraduate software development course teaching agile development
methodologies. Surveys revealed positive attitudes towards the course and the
change of employed development methodology from Scrum to Kanban. However,
surveys were not usable to ascertain the degree to which students had adapted
their workflows and whether they had done so in accordance with course goals.
Therefore, we analyzed students' software repository data, which represents
information that can be collected by educators to reveal insights into learning
successes and detailed student behavior. We analyze the software repositories
created during the last five courses, and evaluate differences in workflows
between Kanban and Scrum usage
On Integrating Student Empirical Software Engineering Studies with Research and Teaching Goals
Background: Many empirical software engineering studies use students as subjects and are conducted as part of university courses. Aim: We aim at reporting our experiences with using guidelines for integrating empirical studies with our research and teaching goals. Method: We document our experience from conducting three studies with graduate students in two software architecture courses. Results: Our results show some problems that we faced when following the guidelines and deviations we made from the original guidelines. Conclusions: Based on our results we propose recommendations for empirical software engineering studies that are integrated in university courses.
- âŠ