Characterizing the natural language descriptions in software logging statements
| Autor: | Shilin He, Michael R. Lyu, Pinjia He, Zhuangbin Chen |
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| Rok vydání: | 2018 |
| Předmět: |
Source code
Java business.industry Computer science Process (engineering) media_common.quotation_subject Logging Software development 020207 software engineering 02 engineering and technology Software maintenance Software 020204 information systems 0202 electrical engineering electronic engineering information engineering Software engineering business computer Natural language computer.programming_language media_common |
| Zdroj: | ASE |
| DOI: | 10.1145/3238147.3238193 |
| Popis: | Logging is a common programming practice of great importance in modern software development, because software logs have been widely used in various software maintenance tasks. To provide high-quality logs, developers need to design the description text in logging statements carefully. Inappropriate descriptions will slow down or even mislead the maintenance process, such as postmortem analysis. However, there is currently a lack of rigorous guide and specifications on developer logging behaviors, which makes the construction of description text in logging statements a challenging problem. To fill this significant gap, in this paper, we systematically study what developers log, with focus on the usage of natural language descriptions in logging statements. We obtain 6 valuable findings by conducting source code analysis on 10 Java projects and 7 C# projects, which contain 28,532,975 LOC and 115,159 logging statements in total. Furthermore, our study demonstrates the potential of automated description text generation for logging statements by obtaining up to 49.04 BLEU-4 score and 62.1 ROUGE-L score using a simple information retrieval method. To facilitate future research in this field, the datasets have been publicly released. |
| Databáze: | OpenAIRE |
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