User-Perceived Source Code Quality Estimation Based on Static Analysis Metrics

2016 ◽  
Author(s):  
Michail Papamichail ◽  
Themistoklis Diamantopoulos ◽  
Andreas Symeonidis
Keyword(s):  
Static Analysis ◽  
Source Code ◽  
Quality Estimation ◽  
Code Quality

Is Static Analysis Able to Identify Unnecessary Source Code?

2020 ◽  
Vol 29 (1) ◽  
pp. 1-23
Author(s):  
Roman Haas ◽  
Rainer Niedermayr ◽  
Tobias Roehm ◽  
Sven Apel
Keyword(s):  
Static Analysis ◽  
Source Code

Why Do Developers Reject Refactorings in Open-Source Projects?

2022 ◽  
Vol 31 (2) ◽  
pp. 1-23
Author(s):  
Jevgenija Pantiuchina ◽  
Bin Lin ◽  
Fiorella Zampetti ◽  
Massimiliano Di Penta ◽  
Michele Lanza ◽  
...  
Keyword(s):  
Open Source ◽  
Software Quality ◽  
Good Practice ◽  
Source Code ◽  
Code Review ◽  
Code Quality ◽  
Shed Light

Refactoring operations are behavior-preserving changes aimed at improving source code quality. While refactoring is largely considered a good practice, refactoring proposals in pull requests are often rejected after the code review. Understanding the reasons behind the rejection of refactoring contributions can shed light on how such contributions can be improved, essentially benefiting software quality. This article reports a study in which we manually coded rejection reasons inferred from 330 refactoring-related pull requests from 207 open-source Java projects. We surveyed 267 developers to assess their perceived prevalence of these identified rejection reasons, further complementing the reasons. Our study resulted in a comprehensive taxonomy consisting of 26 refactoring-related rejection reasons and 21 process-related rejection reasons. The taxonomy, accompanied with representative examples and highlighted implications, provides developers with valuable insights on how to ponder and polish their refactoring contributions, and indicates a number of directions researchers can pursue toward better refactoring recommenders.

A Framework for Measuring and Evaluating Program Source Code Quality

2007 ◽  
pp. 284-299 ◽  
Author(s):  
Hironori Washizaki ◽  
Rieko Namiki ◽  
Tomoyuki Fukuoka ◽  
Yoko Harada ◽  
Hiroyuki Watanabe
Keyword(s):  
Source Code ◽  
Code Quality

scholarly journals Means of integrating static source security analysis technology into the software development environment

2020 ◽  
Author(s):  
N. V. Goryuk ◽  
Keyword(s):  
Software Development ◽  
Static Analysis ◽  
Software Security ◽  
Source Code ◽  
Security Analysis ◽  
Development Environment ◽  
Static Source ◽  
Software Development Environment ◽  
Further Development ◽  
Code Development

The article investigates automation methods and means of integration of static source security analysis technology. The process of software security analysis, which is implemented by the technology of static analysis of the source code, is studied, and the methods of solving the problem of automation and integration of the technology into the source code development environment are offered. The perspective direction of further development of the technology of static analysis of the source code is established.

scholarly journals Evaluation of SQL Injection Vulnerability Detection Tools

2019 ◽  
Vol 9 (1) ◽  
pp. 1747-1751
Keyword(s):  
Static Analysis ◽  
Web Applications ◽  
Source Code ◽  
False Negative ◽  
Vulnerability Detection ◽  
Sql Injection ◽  
User Input ◽  
Root Cause ◽  
Analysis Tools ◽  
Free Open Source

SQL injection vulnerabilities have been predominant on database-driven web applications since almost one decade. Exploiting such vulnerabilities enables attackers to gain unauthorized access to the back-end databases by altering the original SQL statements through manipulating user input. Testing web applications for identifying SQL injection vulnerabilities before deployment is essential to get rid of them. However, checking such vulnerabilities by hand is very tedious, difficult, and time-consuming. Web vulnerability static analysis tools are software tools for automatically identifying the root cause of SQL injection vulnerabilities in web applications source code. In this paper, we test and evaluate three free/open source static analysis tools using eight web applications with numerous known vulnerabilities, primarily for false negative rates. The evaluation results were compared and analysed, and they indicate a need to improve the tools.

Analysis of Refactoring Techniques and Tools for Source Code Quality Improvement

2016 ◽  
Vol 6 (4) ◽  
pp. 137-150
Author(s):  
Doohwan Kim ◽  
◽  
YooJin Jung ◽  
Jang-Eui Hong
Keyword(s):  
Quality Improvement ◽  
Source Code ◽  
Code Quality
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