Name
Abstract | ||
|---|---|---|
Logging is an important feature of a software system to record run-time information. Detailed logging allows developers to collect run-time information in situations where they cannot use an interactive debugger, such as continuous integration and web application server cases. However, extensive logging leads to larger execution traces because few instructions can be repeated many times. This paper presents our tool NOD4J, which monitors a Java program's execution within limited storage space constraints and annotates the source code with observed values in an HTML format. Developers can easily investigate the execution and share the report on a web server. We show two examples that our tool can debug defects using incomplete execution traces. (C) 2021 The Author(s). Published by Elsevier B.V. |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1016/j.scico.2021.102630 | SCIENCE OF COMPUTER PROGRAMMING |
Keywords | DocType | Volume |
Dynamic analysis, Logging, Software visualization | Journal | 206 |
ISSN | Citations | PageRank |
0167-6423 | 1 | 0.39 |
References | Authors | |
0 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Kazumasa Shimari | 1 | 1 | 0.39 |
| Takashi Ishio | 2 | 211 | 28.48 |
| Tetsuya Kanda | 3 | 40 | 6.70 |
| Naoto Ishida | 4 | 1 | 0.72 |
| Katsuro Inoue | 5 | 2424 | 172.31 |