Year: 2024
Type: article
Abstract: 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.
DOI: 10.25046/aj090501
Authors: Diego Costa, Gabriel Matos, Anderson Lins, Leon Barroso, Carlos Aguiar, Erick Bezerra
Language: English
Subfield: Software
Field: Computer Science
Domain: Physical Sciences
Open Access status: diamond
Funders: Samsung Eletrônica da Amazônia, Samsung
Award: G4257313756
OpenAlex ID: W4402517826