scholarly journals Honeysuckle

2021 ◽  
Vol 5 (3) ◽  
pp. 1-27
Author(s):  
Tianshi Li ◽  
Elijah B. Neundorfer ◽  
Yuvraj Agarwal ◽  
Jason I. Hong
Keyword(s):  
Cognitive Load ◽  
Open Source ◽  
Real World ◽  
Code Generation ◽  
Team Collaboration ◽  
Programming Tool ◽  
Within Subjects ◽  
Build System ◽  
Privacy Notices ◽  
Code Format

In-app privacy notices can help smartphone users make informed privacy decisions. However, they are rarely used in real-world apps, since developers often lack the knowledge, time, and resources to design and implement them well. We present Honeysuckle, a programming tool that helps Android developers build in-app privacy notices using an annotation-based code generation approach facilitated by an IDE plugin, a build system plugin, and a library. We conducted a within-subjects study with 12 Android developers to evaluate Honeysuckle. Each participant was asked to implement privacy notices for two popular open-source apps using the Honeysuckle library as a baseline as well as the annotation-based approach. Our results show that the annotation-based approach helps developers accomplish the task faster with significantly lower cognitive load. Developers preferred the annotation-based approach over the library approach because it was much easier to learn and use and allowed developers to achieve various types of privacy notices using a unified code format, which can enhance code readability and benefit team collaboration.

Bridging academic open-source EDA to real-world usability

2020 ◽  
Author(s):  
Austin Rovinski ◽  
Tutu Ajayi ◽  
Minsoo Kim ◽  
Guanru Wang ◽  
Mehdi Saligane
Keyword(s):  
Open Source ◽  
Real World

scholarly journals Characteristics, potentials, and limitations of open-source Simulink projects for empirical research

2021 ◽  
Author(s):  
Alexander Boll ◽  
Florian Brokhausen ◽  
Tiago Amorim ◽  
Timo Kehrer ◽  
Andreas Vogelsang
Keyword(s):  
Open Source ◽  
Empirical Research ◽  
Code Generation ◽  
Quality Analysis ◽  
Academic Context ◽  
Early Validation ◽  
Modeling Software ◽  
Development Context ◽  
The One ◽  
Automated Code Generation

AbstractSimulink is an example of a successful application of the paradigm of model-based development into industrial practice. Numerous companies create and maintain Simulink projects for modeling software-intensive embedded systems, aiming at early validation and automated code generation. However, Simulink projects are not as easily available as code-based ones, which profit from large publicly accessible open-source repositories, thus curbing empirical research. In this paper, we investigate a set of 1734 freely available Simulink models from 194 projects and analyze their suitability for empirical research. We analyze the projects considering (1) their development context, (2) their complexity in terms of size and organization within projects, and (3) their evolution over time. Our results show that there are both limitations and potentials for empirical research. On the one hand, some application domains dominate the development context, and there is a large number of models that can be considered toy examples of limited practical relevance. These often stem from an academic context, consist of only a few Simulink blocks, and are no longer (or have never been) under active development or maintenance. On the other hand, we found that a subset of the analyzed models is of considerable size and complexity. There are models comprising several thousands of blocks, some of them highly modularized by hierarchically organized Simulink subsystems. Likewise, some of the models expose an active maintenance span of several years, which indicates that they are used as primary development artifacts throughout a project’s lifecycle. According to a discussion of our results with a domain expert, many models can be considered mature enough for quality analysis purposes, and they expose characteristics that can be considered representative for industry-scale models. Thus, we are confident that a subset of the models is suitable for empirical research. More generally, using a publicly available model corpus or a dedicated subset enables researchers to replicate findings, publish subsequent studies, and use them for validation purposes. We publish our dataset for the sake of replicating our results and fostering future empirical research.

scholarly journals Leveraging Final Degree Projects for Open Source Software Contributions

Electronics ◽  
2021 ◽  
Vol 10 (10) ◽  
pp. 1181
Author(s):  
Juanan Pereira
Keyword(s):  
Graduate Students ◽  
Software Engineering ◽  
Computer Science ◽  
Open Source ◽  
Communication Skills ◽  
Open Source Software ◽  
Real World ◽  
Practical Experience ◽  
Multiple Challenges ◽  
Final Degree

(1) Background: final year students of computer science engineering degrees must carry out a final degree project (FDP) in order to graduate. Students’ contributions to improve open source software (OSS) through FDPs can offer multiple benefits and challenges, both for the students, the instructors and for the project itself. This work reports on a practical experience developed by four students contributing to mature OSS projects during their FDPs, detailing how they addressed the multiple challenges involved, both from the students and teachers perspective. (2) Methods: we followed the work of four students contributing to two established OSS projects for two academic years and analyzed their work on GitHub and their responses to a survey. (3) Results: we obtained a set of specific recommendations for future practitioners and detailed a list of benefits achieved by steering FDP towards OSS contributions, for students, teachers and the OSS projects. (4) Conclusion: we find out that FDPs oriented towards enhancing OSS projects can introduce students into real-world, practical examples of software engineering principles, give them a boost in their confidence about their technical and communication skills and help them build a portfolio of contributions to daily used worldwide open source applications.

Effective Assessment of Cognitive Load in Real-World Scenarios using Wrist-worn Sensor Data

2021 ◽  
Author(s):  
Dibyanshu Jaiswal ◽  
Debatri Chatterjee ◽  
Rahul Gavas ◽  
Ramesh Kumar Ramakrishnan ◽  
Arpan Pal
Keyword(s):  
Cognitive Load ◽  
Real World ◽  
Sensor Data ◽  
Effective Assessment

scholarly journals GazeEMD: Detecting Visual Intention in Gaze-Based Human-Robot Interaction

Robotics ◽  
2021 ◽  
Vol 10 (2) ◽  
pp. 68
Author(s):  
Lei Shi ◽  
Cosmin Copot ◽  
Steve Vanlanduit
Keyword(s):  
Cognitive Load ◽  
Real World ◽  
Robotic Manipulator ◽  
Similarity Score ◽  
Human Robot Interaction ◽  
Experimental Results ◽  
The Other ◽  
Robot Interaction ◽  
Run Length ◽  
The Real

In gaze-based Human-Robot Interaction (HRI), it is important to determine human visual intention for interacting with robots. One typical HRI interaction scenario is that a human selects an object by gaze and a robotic manipulator will pick up the object. In this work, we propose an approach, GazeEMD, that can be used to detect whether a human is looking at an object for HRI application. We use Earth Mover’s Distance (EMD) to measure the similarity between the hypothetical gazes at objects and the actual gazes. Then, the similarity score is used to determine if the human visual intention is on the object. We compare our approach with a fixation-based method and HitScan with a run length in the scenario of selecting daily objects by gaze. Our experimental results indicate that the GazeEMD approach has higher accuracy and is more robust to noises than the other approaches. Hence, the users can lessen cognitive load by using our approach in the real-world HRI scenario.

scholarly journals A Case Study of Crowdsourcing Imagery Coding in Natural Disasters

2017 ◽  
Author(s):  
Cobi Alison Smith
Keyword(s):  
Natural Disasters ◽  
Open Source ◽  
Real World ◽  
Disaster Response ◽  
Digital Humanities ◽  
Open Data ◽  
Geographic Information ◽  
Response And Recovery ◽  
Disaster Response And Recovery

Crowdsourcing and open licensing allow more people to participate in research and humanitarian activities. Open data, such as geographic information shared through OpenStreetMap and image datasets from disasters, can be useful for disaster response and recovery work. This chapter shares a real-world case study of humanitarian-driven imagery analysis, using open-source crowdsourcing technology. Shared philosophies in open technologies and digital humanities, including remixing and the wisdom of the crowd, are reflected in this case study.

Bridging the Academia-Industry Gap in Software Engineering

2014 ◽  
pp. 373-396 ◽  
Author(s):  
Bonnie K. MacKellar ◽  
Mihaela Sabin ◽  
Allen B. Tucker
Keyword(s):  
Software Engineering ◽  
Computer Science ◽  
Open Source ◽  
Real World ◽  
Software Application ◽  
Development Framework ◽  
Wide Range ◽  
Approach To Teaching ◽  
Development Practice ◽  
Open Source Development

Too often, computer science programs offer a software engineering course that emphasizes concepts, principles, and practical techniques, but fails to engage students in real-world software experiences. The authors have developed an approach to teaching undergraduate software engineering courses that integrates client-oriented project development and open source development practice. They call this approach the Client-Oriented Open Source Software (CO-FOSS) model. The advantages of this approach are that students are involved directly with a client, nonprofits gain a useful software application, and the project is available as open source for other students or organizations to extend and adapt. This chapter describes the motivation, elaborates the approach, and presents the results in substantial detail. The process is agile and the development framework is transferrable to other one-semester software engineering courses in a wide range of institutions.

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