Abstract

Software Engineering (SE) projects that emphasize maintenance and evolution can emulate industrial challenges and prepare students for careers in the software industry. Designing maintenance-centric SE projects, however, is difficult because software code upon which these projects must be based is not readily available. Open Source Software (OSS) can alleviate this issue by offering a rich and varied volume of code. This rich diversity of OSS projects, however, presents the greatest hurdle in seamlessly selecting suitable projects for integration. To better understand the scope of this diversity, initially, we propose to manually select uniformly difficult projects of appropriate complexity. Ultimately, based on the experiences and insights acquired through the manual selection, we envision the development of a systematic methodology based on software metrics to ease the project selection process. Such a systematic methodology will pave the way for the adoption of the OSS-based approach at peer institutions, bringing us a step closer to injecting realism into SE projects.

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.