<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>Following up on the issue of programmer knowledge profiles, the present article deals with the generation of profiles for C language programmers. The main idea is based on static analysis of source codes, assembling the most significant data about their author. Such a profile can point out some abilities and habits of the programmer. The process of static analysis applies methods and techniques of size metrics, complexity metrics, and clone detection. We also present an experiment focused on novice programmers. The results show that knowledge profiles provide an easy way of novice programmers’ progress tracking. The main contribution is believed to be in the area of program comprehension.</p>
</abstract>

Following up on the issue of programmer knowledge profiles, the present article deals with the generation of profiles for C language programmers. The main idea is based on static analysis of source codes, assembling the most significant data about their author. Such a profile can point out some abilities and habits of the programmer. The process of static analysis applies methods and techniques of size metrics, complexity metrics, and clone detection. We also present an experiment focused on novice programmers. The results show that knowledge profiles provide an easy way of novice programmers’ progress tracking. The main contribution is believed to be in the area of program comprehension.

Towards Program Comprehension: Knowledge Profiles for C Programmers

Department of Computers and Informatics, Faculty of Electrical Engineering and Informatics

Acta Electrotechnica et Informatica

This work is licensed under the Creative Commons Attribution 4.0 International License.

{"article-title":"Towards Program Comprehension: Knowledge Profiles for C Programmers"}

Following up on the issue of programmer knowledge profiles, the present article deals with the generation of profiles for C language programmers. The main idea...

Towards Program Comprehension: Knowledge Profiles for C Programmers

Online veröffentlicht: 13. Apr. 2022

Seitenbereich: 30 - 35

Eingereicht: 02. Aug. 2021

Akzeptiert: 15. März 2022

DOI: https://doi.org/10.2478/aei-2021-0005

Schlüsselwörter
program comprehension, programmer knowledge profile, static code analysis, software quality metrics, clone detection

© 2021 Emília Pietriková, published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Towards Program Comprehension: Knowledge Profiles for C Programmers

Online veröffentlicht: 13. Apr. 2022

Seitenbereich: 30 - 35

Eingereicht: 02. Aug. 2021

Akzeptiert: 15. März 2022

DOI: https://doi.org/10.2478/aei-2021-0005

Schlüsselwörterprogram comprehension, programmer knowledge profile, static code analysis, software quality metrics, clone detection

© 2021 Emília Pietriková, published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Schlüsselwörter
program comprehension, programmer knowledge profile, static code analysis, software quality metrics, clone detection