Litcius/Paper detail

Towards Detecting Inconsistent Comments in Java Source Code Automatically

Nataliia Stulova, Arianna Blasi, Alessandra Gorla, Oscar Nierstrasz

202026 citationsDOI

Abstract

A number of tools are available to software developers to check consistency of source code during software evolution. However, none of these tools checks for consistency of the documentation accompanying the code. As a result, code and documentation often diverge, hindering program comprehension. This leads to errors in how developers use source code, especially in the case of APIs of reusable libraries. We propose a technique and a tool, upDoc, to automatically detect code-comment inconsistency during code evolution. Our technique builds a map between the code and its documentation, ensuring that changes in the code match the changes in respective documentation parts. We conduct a preliminary evaluation using inconsistency examples from an existing dataset of Java open source projects, showing that upDoc can successfully detect them. We present a roadmap for the further development of the technique and its evaluation.

Topics & Concepts

DocumentationComputer scienceProgram comprehensionConsistency (knowledge bases)Source codeJavaSoftware evolutionProgramming languageInternal documentationCode (set theory)Software engineeringKPI-driven code analysisCode reviewStatic program analysisSoftwareSoftware maintenanceSoftware developmentSoftware systemSoftware constructionArtificial intelligenceSet (abstract data type)Software Engineering ResearchAdvanced Malware Detection TechniquesSoftware Reliability and Analysis Research