Can You Capture Information As You Intend To? A Case Study on Logging Practice in Industry

Rong, Guoping; Xu, Yangchen; Gu, Shenghui; Zhang, He; Shao, Dong

doi:10.1109/icsme46990.2020.00012

Cited by 7 publications

(3 citation statements)

References 21 publications

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“…The idea of making logging decisions in the Developing a suitable logging strategy at the systems is championed by different roles of design phases is aligned with a suggestion from early phase of system development with stakeembedded engineers who all experience missing Rong et al (2020). Based on the perception of holders of logs (P).…”

Section: Shifting Logging Decisions To Design Time Ofmentioning

confidence: 99%

An interview study about the use of logs in embedded software engineering

Yang

Cuijpers²,

Hendriks³

et al. 2023

Empir Software Eng

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Section: Shifting Logging Decisions To Design Time Ofmentioning

confidence: 99%

An interview study about the use of logs in embedded software engineering

Yang

Cuijpers²,

Hendriks³

et al. 2023

Empir Software Eng

View full text Add to dashboard Cite

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“…The tool can only guide log revisions for codes that share similar logging context, and the percentage of these revisions is not substantial. Rong et al [157] -Investigates the status of developers' intention and concerns (I&C) on logging practices.…”

Section: Category B: Logging Practicesmentioning

confidence: 99%

“…2019 EMSE (J) (D) Can you capture information as you intend to? A case study on logging practice in industry [157].…”

Section: List Of Papersmentioning

confidence: 99%

A Comprehensive Survey of Logging in Software: From Logging Statements Automation to Log Mining and Analysis

Gholamian¹,

Ward²

2021

Preprint

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Logs are widely used to record runtime information of software systems, such as the timestamp and the importance of an event, the unique ID of the source of the log, and a part of the state of a task's execution. The rich information of logs enables system developers (and operators) to monitor the runtime behaviors of their systems and further track down system problems and perform analysis on log data in production settings. However, the prior research on utilizing logs is scattered and that limits the ability of new researchers in this field to quickly get to the speed and hampers currently active researchers to advance this field further. Therefore, this paper surveys and provides a systematic literature review and mapping of the contemporary logging practices and log statements' mining and monitoring techniques and their applications such as in system failure detection and diagnosis. We study a large number of conference and journal papers that appeared on top-level peer-reviewed venues. Additionally, we draw high-level trends of ongoing research and categorize publications into subdivisions. In the end, and based on our holistic observations during this survey, we provide a set of challenges and opportunities that will lead the researchers in academia and industry in moving the field forward.

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