NDLI: Quantifying Incremental Development Practices and Their Relationship to Procrastination

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Quantifying Incremental Development Practices and Their Relationship to Procrastination

Content Provider	ACM Digital Library
Author	Edwards, Stephen H. Shaffer, Clifford A. Kazerouni, Ayaan M.
Abstract	We present quantitative analyses performed on character-level program edit and execution data, collected in a junior-level data structures and algorithms course. The goal of this research is to determine whether proposed measures of student behaviors such as incremental development and procrastination during their program development process are significantly related to the correctness of final solutions, the time when work is completed, or the total time spent working on a solution. A dataset of 6.3 million fine-grained events collected from each student's local Eclipse environment is analyzed, including the edits made and events such as running the program or executing software tests. We examine four primary metrics proposed as part of previous work, and also examine variants and refinements that may be more effective. We quantify behaviors such as working early and often, frequency of program and test executions, and incremental writing of software tests. Projects where the author had an earlier mean time of edits were more likely to submit their projects earlier and to earn higher scores for correctness. Similarly earlier median time of edits to software tests was also associated with higher correctness scores. No significant relationships were found with incremental test writing or incremental checking of work using either interactive program launches or running of software tests, contrary to expectations. A preliminary prediction model with 69% accuracy suggests that the underlying metrics may support early prediction of student success on projects. Such metrics also can be used to give targeted feedback to help students improve their development practices.
Starting Page	191
Ending Page	199
Page Count	9
File Format	PDF
ISBN	9781450349680
DOI	10.1145/3105726.3106180
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2017-08-14
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Incremental development Educational data mining Metrics Eclipse Ide Deveventtracker Software development process Plugin
Content Type	Text
Resource Type	Article

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