Does the discipline of preprocessor annotations matter?

Author:

Schulze Sandro1,Liebig Jörg2,Siegmund Janet2,Apel Sven2

Affiliation:

1. Technische Universität Braunschweig, Braunschweig, Germany

2. Universität Passau, Passau, Germany

Abstract

The C preprocessor ( CPP ) is a simple and language-independent tool, widely used to implement variable software systems using conditional compilation (i.e., by including or excluding annotated code). Although CPP provides powerful means to express variability, it has been criticized for allowing arbitrary annotations that break the underlying structure of the source code. We distinguish between disciplined annotations, which align with the structure of the source code, and undisciplined annotations, which do not. Several studies suggest that especially the latter type of annotations makes it hard to (automatically) analyze the code. However, little is known about whether the type of annotations has an effect on program comprehension. We address this issue by means of a controlled experiment with human subjects. We designed similar tasks for both, disciplined and undisciplined annotations, to measure program comprehension. Then, we measured the performance of the subjects regarding correctness and response time for solving the tasks. Our results suggest that there are no differences between disciplined and undisciplined annotations from a program-comprehension perspective. Nevertheless, we observed that finding and correcting errors is a time-consuming and tedious task in the presence of preprocessor annotations.

Publisher

Association for Computing Machinery (ACM)

Subject

Computer Graphics and Computer-Aided Design,Software

Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Evaluating the Code Comprehension of Novices with Eye Tracking;Proceedings of the XXII Brazilian Symposium on Software Quality;2023-11-07

2. Feature trace recording;Proceedings of the 29th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering;2021-08-18

3. Composing annotations without regret? Practical experiences using FeatureC;Software: Practice and Experience;2017-09-13

4. Aspects influencing feature-oriented software comprehension;Proceedings of the 11th Brazilian Symposium on Software Components, Architectures, and Reuse - SBCARS '17;2017

5. FeatureCoPP: compositional annotations;Proceedings of the 7th International Workshop on Feature-Oriented Software Development;2016-10-30

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3