arXiv subjects

Saheed Popoola

Publications and source records attributed to Saheed Popoola.

4 recordsLinked to original sources

arXiv2024

What do Computing Interns Discuss Online? An Empirical Analysis of Reddit Posts

Computing internships are the most common way for students to gain practical real-world experience. Internships have become a major part of most computing curricula because they help match student abilities or expectations with the demand of the workforce. The internship experience for students vary due to diverse factors such misconceptions about industrial realities, level of preparation, networking opportunities and so on. This papers attempts to provide insights into students discussions and opinions related to internship. We extracted 143,912 online Reddit posts related to computing internships out of 921,845 posts containing the rootword "intern", and then used topic modelling to unravel the common themes in the discussions. Next, we applied sentiment analysis techniques to understand the feelings expressed by the students in the Reddit posts. The results show that computing interns generally express a positive sentiment and the discussions were mostly related to academics, school admissions, professional career, entertainment activities, and social interactions.

cs.SE↗

arXiv2024

Empirical Analysis of Pull Requests for Google Summer of Code

Internship and industry-affiliated capstone projects are popular ways to expose students to real world experiences and bridge the gap between academic training and industry requirements. However, these two approaches often require active industry collaboration, and many students struggle to find industry placements. Open-source contributions are a crucial alternative to gain real world experience, earn publicly verifiable contribution with real-world impact, and learn from experienced open-source contributors. The Google Summer of Code (GSoC) is a global initiative that matches students or new contributors with experienced mentors to work on open-source projects. The program aims to introduce the students to open-source development, help them gain valuable skills under the guidance of mentors, and hopefully encourage them to continue contributing to open-source projects. The realization of the program objectives will provide a continuous pool of talented new contributors necessary for maintaining open-source projects. This study presents an empirical analysis of pull requests created by interns during the GSoC program. We extracted and analyzed 17,232 pull requests from 2,456 interns across 1,937 open-source projects. The results show most tasks involve both code-intensive activities like adding new features and fixing bugs, as well as non-code tasks like updating documentation and restructuring the codebase. Feedback from reviewers covers code functionality and programming logic, testing coverage, error handling, code readability, and adherence to best practices. Finally, we discuss the implications of these results for software engineering education.

cs.SE↗

arXiv2024

Developing and Sustaining a Student-Driven Software Solutions Center -- An Experience Report

This paper presents an experience report on the establishment and sustenance of a student-driven software solutions center named Information Technology Solutions Center (ITSC), a unit within the School of Information Technology at the University of Cincinnati. A student-driven solution center empowers students to drive the design, development, execution, and maintenance of software solutions for industrial clients. This exposes the students to real-world projects and ensures that students are fully prepared to meet the demands of the ever-changing industrial landscape. The ITSC was established over a decade ago, has trained over 100 students, and executes about 20 projects annually with several industrial partners including Fortune 500 companies, government institutions, and research agencies. This paper discusses the establishment and maintenance of the center with the goal of motivating and providing a clear blueprint for computing programs that want to establish a similar student-driven software solutions center.

cs.CY↗

arXiv2024

Efficacy of static analysis tools for software defect detection on open-source projects

In software practice, static analysis tools remain an integral part of detecting defects in software and there have been various tools designed to run the analysis in different programming languages like Java, C++, and Python. This paper presents an empirical comparison of popular static analysis tools for identifying software defects using several datasets using Java, C++, and Python code. The study used popular analysis tools such as SonarQube, PMD, Checkstyle, and FindBugs to perform the comparison based on using the datasets. The study also used various evaluation metrics such as Precision, Recall, and F1-score to determine the performance of each analysis tool. The study results show that SonarQube performs considerably well than all other tools in terms of its defect detection across the various three programming languages. These findings remain consistent with other existing studies that also agree on SonarQube being an effective tool for defect detection in software. The study contributes to much insight on static analysis tools with different programming languages and additional information to understand the strengths and weaknesses of each analysis tool. The study also discusses the implications for software development researchers and practitioners, and future directions in this area. Our research approach aim is to provide a recommendation guideline to enable software developers, practitioners, and researchers to make the right choice on static analysis tools to detect errors in their software codes. Also, for researchers to embark on investigating and improving software analysis tools to enhance the quality and reliability of the software systems and its software development processes practice.

cs.SE↗