A Proposal of Quality Assurance Programming Exercise

Abstract

This paper proposes a new exercise format for programming assignments called Quality Assurance Programming Exercises (QAEx), which incorporates the use of generative artificial intelligence (Al). In QAEx, students are allowed to use Al tools to generate solutions for programming problems and are also required to submit comprehensive test cases to validate these solutions. Students can use Al to create these test cases as well. The inclusion of Al in both solution development and testing underscores the importance of effective software testing and encourages students to engage more deeply with programming and quality assurance practices. A preliminary trial of QAEx was conducted to assess students' engagement and performance.