Bash in the Wild: Language Usage, Code Smells, and Bugs

Author:

Dong Yiwen1ORCID,Li Zheyang1,Tian Yongqiang1ORCID,Sun Chengnian1,Godfrey Michael W.1,Nagappan Meiyappan1

Affiliation:

1. University of Waterloo, Waterloo, ON, Canada

Abstract

The Bourne-again shell (Bash) is a prevalent scripting language for orchestrating shell commands and managing resources in Unix-like environments. It is one of the mainstream shell dialects that is available on most GNU Linux systems. However, the unique syntax and semantics of Bash could easily lead to unintended behaviors if carelessly used. Prior studies primarily focused on improving the reliability of Bash scripts or facilitating writing Bash scripts; there is yet no empirical study on the characteristics of Bash programs written in reality, e.g., frequently used language features, common code smells, and bugs. In this article, we perform a large-scale empirical study of Bash usage, based on analyses over one million open source Bash scripts found in Github repositories. We identify and discuss which features and utilities of Bash are most often used. Using static analysis, we find that Bash scripts are often error-prone, and the error-proneness has a moderately positive correlation with the size of the scripts. We also find that the most common problem areas concern quoting, resource management, command options, permissions, and error handling. We envision that these findings can be beneficial for learning Bash and future research that aims to improve shell and command-line productivity and reliability.

Funder

Natural Sciences and Engineering Research Council of Canada

Publisher

Association for Computing Machinery (ACM)

Subject

Software

Reference36 articles.

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2. Mayank Agarwal Jorge J. Barroso Tathagata Chakraborti Eli M. Dow Kshitij Fadnis Borja Godoy Madhavan Pallan and Kartik Talamadupula. 2020. Project CLAI: Instrumenting the Command Line as a New Environment for AI Agents. arxiv:2002.00762 [cs.HC]. 10.48550/arXiv.2002.00762

3. A large-scale study of programming languages and code quality in GitHub

4. Pamela Bhattacharya and Iulian Neamtiu. 2011. Assessing programming language impact on development and maintenance: A study on C and C++. In Proceedings of the 2011 33rd International Conference on Software Engineering (ICSE’11). 171–180. 10.1145/1985793.1985817

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