Web Application Interface Data Collector for Issue Reporting
Volume 9, Issue 5, Page No 01-08, 2024
Author’s Name: Diego Costa, Gabriel Matos, Anderson Lins, Leon Barroso, Carlos Aguiar, Erick Bezerra
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SIDIA Institute of Science and Technology, Manaus, Brazil
a)whom correspondence should be addressed. E-mail: diego.costa@sidia.com
Adv. Sci. Technol. Eng. Syst. J. 9(5), 01-08 (2024); 
DOI: 10.25046/aj090501
Keywords: Bug Reporting, Software Management, Web Application, Browser API
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Insufficient information is often pointed out as one of the main problems with bug reports as most bugs are reported manually, they lack detailed information describing steps to reproduce the unexpected behavior, leading to increased time and effort for developers to reproduce and fix bugs. Current bug reporting systems lack support for self-hosted systems that cannot access third-party cloud environments or Application Programming Interfaces due to confidentiality concerns. To address this, we propose Watson, a Typescript framework with a minimalist User Interface developed in Vue.js. The objectives are to minimize the user’s effort to report bugs, simplify the bug reporting process, and provide relevant information for developers to solve it. Watson was designed to capture user’s interactions, network logs, screen recording, and seamlessly integration with issue tracker systems in self-hosted systems that cannot share their data to external Application Programming Interfaces or cloud services. Watson also can be installed via Node Package Manager and integrated into most JavaScript or TypeScript web projects. To evaluate Watson, we developed an Angular-based application along with two usage scenarios. First, the users experimented the application without using Watson and once they found a bug, they reported it manually on GitLab. Later, they used the same application, but this time, whenever they detect another bug, they reported it through Watson User Interface. Watson, as stated by the experiment participants and the evidences, is useful and helpful for development teams to report issues and provide relevant information for tracking bugs. The identification of bug root causes was almost three times more effective with Watson than manual reporting.
Received: 24 April 2024 Revised: 01 August 2024 Accepted: 03 August 2024 Online: 14 September 2024
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