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Open tracing tools: Overview and critical comparison

Andrea Janes, Xiaozhou Li, Valentina Lenarduzzi

2023Journal of Systems and Software23 citationsDOIOpen Access PDF

Abstract

Coping with the rapid growing complexity in contemporary software architecture, tracing has become an increasingly critical practice and been adopted widely by software engineers. By adopting tracing tools, practitioners are able to monitor, debug, and optimize distributed software architectures easily. However, with excessive number of valid candidates, researchers and practitioners have a hard time finding and selecting the suitable tracing tools by systematically considering their features and advantages. To such a purpose, this paper aims to provide an overview of popular Open tracing tools via comparison. Herein, we first identified 30 tools in an objective, systematic, and reproducible manner adopting the Systematic Multivocal Literature Review protocol. Then, we characterized each tool looking at the (1) measured features, (2) popularity both in peer-reviewed literature and online media, and (3) benefits and issues. As a result, this paper presents a systematic comparison amongst the selected tracing tools in terms of their features, popularity, benefits and issues. The result mainly shows that each tracing tool provides a unique combination of features with also different pros and cons. The contribution of this paper is to provide the practitioners better understanding of the tracing tools facilitating their adoption.

Topics & Concepts

TracingPopularityDebuggingComputer scienceSoftware engineeringSoftwareData scienceArchitectureProgramming languagePsychologyArtSocial psychologyVisual artsSoftware System Performance and ReliabilitySoftware Engineering ResearchMobile Crowdsensing and Crowdsourcing
Open tracing tools: Overview and critical comparison | Litcius