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Disrupting developer productivity one bot at a time

Published: 01 November 2016 Publication History

Abstract

Bots are used to support different software development activities, from automating repetitive tasks to bridging knowledge and communication gaps in software teams. We anticipate the use of Bots will increase and lead to improvements in software quality and developer and team productivity, but what if the disruptive effect is not what we expect?
Our goal in this paper is to provoke and inspire researchers to study the impact (positive and negative) of Bots on software development. We outline the modern Bot landscape and use examples to describe the common roles Bots occupy in software teams. We propose a preliminary cognitive support framework that can be used to understand these roles and to reflect on the impact of Bots in software development on productivity. Finally, we consider challenges that Bots may bring and propose some directions for future research.

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18 http://oskar.hanno.co/

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cover image ACM Conferences
FSE 2016: Proceedings of the 2016 24th ACM SIGSOFT International Symposium on Foundations of Software Engineering
November 2016
1156 pages
ISBN:9781450342186
DOI:10.1145/2950290
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Publication History

Published: 01 November 2016

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Author Tags

  1. Human computer interaction
  2. computer supported collaborative work
  3. productivity
  4. software engineering

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  • Short-paper

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  • NSERC

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FSE'16
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Overall Acceptance Rate 17 of 128 submissions, 13%

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  • (2025)A bot identification model and tool based on GitHub activity sequencesJournal of Systems and Software10.1016/j.jss.2024.112287221:COnline publication date: 1-Mar-2025
  • (2024)Software engineering education in the era of conversational AI: current trends and future directionsFrontiers in Artificial Intelligence10.3389/frai.2024.14363507Online publication date: 29-Aug-2024
  • (2024)Motivations, Challenges, Best Practices, and Benefits for Bots and Conversational Agents in Software Engineering: A Multivocal Literature ReviewACM Computing Surveys10.1145/370480657:4(1-37)Online publication date: 10-Dec-2024
  • (2024)A Transformer-based Approach for Augmenting Software Engineering Chatbots DatasetsProceedings of the 18th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement10.1145/3674805.3686695(359-370)Online publication date: 24-Oct-2024
  • (2024)A Weak Supervision-Based Approach to Improve Chatbots for Code RepositoriesProceedings of the ACM on Software Engineering10.1145/36608121:FSE(2378-2401)Online publication date: 12-Jul-2024
  • (2024)Beyond Code Generation: An Observational Study of ChatGPT Usage in Software Engineering PracticeProceedings of the ACM on Software Engineering10.1145/36607881:FSE(1819-1840)Online publication date: 12-Jul-2024
  • (2024)Augmenting Human Teams with Robots in Knowledge Work Settings: Insights from the LiteratureACM Transactions on Human-Robot Interaction10.1145/364988413:2(1-34)Online publication date: 14-Jun-2024
  • (2024)RABBIT: A tool for identifying bot accounts based on their recent GitHub event historyProceedings of the 21st International Conference on Mining Software Repositories10.1145/3643991.3644877(687-691)Online publication date: 15-Apr-2024
  • (2024)Automatic Commit Message Generation: A Critical Review and Directions for Future WorkIEEE Transactions on Software Engineering10.1109/TSE.2024.336467550:4(816-835)Online publication date: 12-Feb-2024
  • (2024)Enhancing Collaborative Software Development: A Deep Learning Approach for Bot Recommendation2024 IEEE 48th Annual Computers, Software, and Applications Conference (COMPSAC)10.1109/COMPSAC61105.2024.00180(1366-1375)Online publication date: 2-Jul-2024
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