Name
Abstract | ||
|---|---|---|
A key issue involved with software engineering education consists of how to guarantee that adequate software engineering principles are being followed at the code level, thus reinforcing that students produce high-quality code. Reviewing and grading student projects to verify whether they followed such principles is a time-consuming task, since this typically involves manual code inspection. In this paper, we exploit code quality tools and metrics to automatically assess student projects with respect to methods with many responsibilities (i.e., where the Extract Method refactoring should be applied), and evaluate their effectiveness. We conducted a study using two sets of student projects, developed in two academic semesters. Our results indicate that, to reduce the effort required to grade projects, two traditional code metrics, namely method lines of code and number of statements, perform best, and other metrics can be selected according to the system being implemented. © 2016 Wiley Periodicals, Inc. Comput Appl Eng Educ 9999:1–12, 2016; View this article online at wileyonlinelibrary.com/journal/cae; DOI 10.1002/cae.21793 |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1002/cae.21793 | Comp. Applic. in Engineering Education |
Keywords | Field | DocType |
software engineering education,object-oriented programming,code quality tools | Static program analysis,Software engineering,Simulation,Computer science,Source code,KPI-driven code analysis,Software quality,Team software process,Code refactoring,Code review,Source lines of code | Journal |
Volume | Issue | ISSN |
25 | 2 | 1061-3773 |
Citations | PageRank | References |
1 | 0.35 | 13 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Danilo Silva | 1 | 104 | 5.33 |
| Ingrid Nunes | 2 | 198 | 29.38 |
| Ricardo Terra | 3 | 252 | 19.48 |