activity
20192023
most citedAnalyzing Code Comments to Boost Program Comprehension

32 citations · 34 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CR2023

Field-sensitive Data Flow Integrity

So Shizukuishi, Yoshitaka Arahori, Katsuhiko Gondow

Although numerous defenses against memory vulnerability exploits have been studied so far, highly-compatible, precise, and efficient defense is still an open problem. In fact, exis…

cs.SE2023

Path-sensitive Type Analysis with Backward Analysis for Quality Assurance of Dynamic Typed Language Code

Ryutaro Kodama, Yoshitaka Arahori, Kathuhiko Gondow

Precise and fast static type analysis for dynamically typed language is very difficult. This is mainly because the lack of static type information makes it difficult to approximate…

cs.SE2022★ 2 cited

Improving Semantic Consistency of Variable Names with Use-Flow Graph Analysis

Yusuke Shinyama, Yoshitaka Arahori, Katsuhiko Gondow

Consistency is one of the keys to maintainable source code and hence a successful software project. We propose a novel method of extracting the intent of programmers from source co…

cs.SE2022

How Do Programmers Express High-Level Concepts using Primitive Data Types?

Yusuke Shinyama, Yoshitaka Arahori, Katsuhiko Gondow

We investigated how programmers express high-level concepts such as path names and coordinates using primitive data types. While relying too much on primitive data types is sometim…

cs.SE2019★ 32 cited

Analyzing Code Comments to Boost Program Comprehension

Yusuke Shinyama, Yoshitaka Arahori, Katsuhiko Gondow

We are trying to find source code comments that help programmers understand a nontrivial part of source code. One of such examples would be explaining to assign a zero as a way to…