Reducing Alert Fatigue via AI-Assisted Negotiation: A Case for Dependabot
Reducing Alert Fatigue via AI-Assisted Negotiation: A Case for Dependabot”: The increasing complexity of software dependencies has led to the emergence of automated dependency management tools, such as Dependabot. However, these tools often overwhelm developers with a high volume of alerts and notifications, leading to alert fatigue. This paper presents a position on using Artificial Intelligence (AI) agents as dependency negotiators to reduce alert fatigue. We then examine specific use cases where AI agents can facilitate dependency negotiations, such as when working with external dependencies or managing complex, multi-component systems. Our findings highlight the need for more research on the design and evaluation of AI-driven dependency mediation mechanisms. With a focus on ensuring transparency, explainability, and human trustworthiness in these GitHub software projects, our goal is to reduce alert fatigue to an extent that maintainers no longer feel overwhelmed and welcome pull requests just like any other contribution into their projects.
Sun 27 AprDisplayed time zone: Eastern Time (US & Canada) change
16:00 - 17:30 | Session 3: Evaluating and Improving Bot ImpactBotSE at 213 Chair(s): Ahmad Abdellatif University of Calgary Ahmad Abdellatif | ||
16:00 22mTalk | Towards a Newcomers Dataset to Assess Conversational Agent�s Efficacy in Mentoring Newcomers BotSE Misan Etchie NAU RESHAPE LAB, Hunter Beach NAU RESHAPE LAB, Katia Romero Felizardo NAU RESHAPE LAB, Igor Steinmacher NAU RESHAPE LAB | ||
16:22 22mTalk | Bot-Driven Development: From Simple Automation to Autonomous Software Development Bots BotSE Pre-print | ||
16:45 22mTalk | Bridging HCI and AI Research for the Evaluation of Conversational SE Assistants BotSE | ||
17:07 22mTalk | Reducing Alert Fatigue via AI-Assisted Negotiation: A Case for Dependabot BotSE Raula Gaikovina Kula The University of Osaka |