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Automatic Tools for Diagnosis and Feedback in a Project Based Learning Course

机译：基于项目的学习课程中的诊断和反馈的自动工具

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In this paper, we present advanced diagnosis and feedback tools to improve student software quality. After several years of quantitative analysis of the relationship between the assigned grades and certain software features, we have been able to characterize high-quality assembly software. With these results, we have defined new learning objectives after an instructors' consensus, and we have developed a set of automatic tools that help to supervise how well the objectives have been achieved and to feed this information back to the students along the course. We have successfully used these analysis tools in a new course, with a considerable improvement in software quality factors. In the 2003-2004 academic year, there were 54,7% more subroutines per program, with 48,7% fewer lines per subroutine and an increase of 43,6% in the use of the more complex addressing capabilities. This improvement in quality had a positive impact on students' surveys.
机译：在本文中，我们提出了先进的诊断和反馈工具，以提高学生软件质量。经过几年的定量分析了分配等级和某些软件功能之间的关系，我们已经能够表征高质量的装配软件。通过这些结果，我们在教师的共识后确定了新的学习目标，我们开发了一套自动工具，有助于监督目标的实现程度，并将这些信息沿课程送回学生。我们已在新课程中成功使用这些分析工具，具有相当大的软件质量因素的提高。在2003 - 2004年学年，每个方案有54,7％的子程序，每分序列下降48.7％，使用更复杂的寻址能力增加43,6％。这种质量的改善对学生的调查产生了积极的影响。

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