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Cited by 14

The DOI matches its Crossref record; 43 of the 43 references it cites were found in a registry or an index.

On the Temporal Relations between Logging and Code

Ding, Zishuo, Tang, Yiming, Li, Yang, Li, Heng, Shang, Weiyi·2023·2023 IEEE/ACM 45th International Conference on Software Engineering (ICSE)
DOI 10.1109/icse48619.2023.00079
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Abstract

Prior work shows that misleading logging texts (i.e., the textual descriptions in logging statements) can be counterproductive for developers during their use of logs. One of the most important types of information provided by logs is the temporal information of the recorded system behavior. For example, a logging text may use a perfective aspect to describe a fact that an important system event has finished. Although prior work has performed extensive studies on automated logging suggestions, few of these studies investigate the temporal relations between logging and code. In this work, we make the first attempt to comprehensively study the temporal relations between logging and its corresponding source code. In particular, we focus on two types of temporal relations: (1) logical temporal relations, which can be inferred from the execution order between the logging statement and the corresponding source code; and (2) semantic temporal relations, which can be inferred based on the semantic meaning of the logging text. We first perform qualitative analyses to study these two types of logging-code temporal relations and the inconsistency between them. As a result, we derive rules to detect these two types of temporal relations and their inconsistencies. Based on these rules, we propose a tool named TempoLo to automatically detect the issues of temporal inconsistencies between logging and code. Through an evaluation of four projects, we find that TempoLo can effectively detect t…

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Citations

Cites

Research works printed but not linked: 7

  1. li, 0, Where shall we log? studying and suggesting logging locations in code blocks, 35th IEEE/ACM International Conference on Automated Software Engineering ASE 2020, 361
  2. kabinna, 2016, Logging Library Migrations: A Case Study for the Apache Software Foundation Projects, 2016 IEEE/ACM 13th Conference on Mining Software Repositories (MSR), 154
  3. barik, 2016, The Bones of the System: A Case Study of Logging and Telemetry at Microsoft, 2016 IEEE/ACM 38th International Conference on Software Engineering Companion (ICSE-C) ICSE-C, 92
  4. honnibal, 2017, spaCy 2 Natural language understanding with Bloom embeddings convolutional neural networks and incremental parsing
  5. 2020, Mood & modality and dialogue sentiment to- I wards data science
  6. nicholas, 2017, JavaParser
  7. hamm, 2021, Tense and Aspect, The Stanford Encyclopedia of Philosophy

Cited by

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Metadata

Authors
Ding, Z., Tang, Y., Li, Y., Li, H., & Shang, W.
Venue
2023 IEEE/ACM 45th International Conference on Software Engineering (ICSE)
Publisher
IEEE
Published
2023-05
Pages
843-854
DOI
10.1109/icse48619.2023.00079
Cited by
14
References
43
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