TUHH Open Research
Help
  • Log In
    New user? Click here to register.Have you forgotten your password?
  • English
  • Deutsch
  • Communities & Collections
  • Publications
  • Research Data
  • People
  • Institutions
  • Projects
  • Statistics
  1. Home
  2. TUHH
  3. Publication References
  4. Current and future bots in software development
 
Options

Current and future bots in software development

Publikationstyp
Conference Paper
Date Issued
2019-05
Sprache
English
Author(s)
Erlenhov, Linda  
Gomes De Oliveira Neto, Francisco  
Scandariato, Riccardo  
Leitner, Philipp  
TORE-URI
http://hdl.handle.net/11420/10257
Start Page
7
End Page
11
Article Number
8823643
Citation
IEEE/ACM 1st International Workshop on Bots in Software Engineering (BotSE 2019)
Contribution to Conference
IEEE/ACM 1st International Workshop on Bots in Software Engineering, BotSE 2019  
Publisher DOI
10.1109/BotSE.2019.00009
Scopus ID
2-s2.0-85072918829
Bots that support software development ('DevBots') are seen as a promising approach to deal with the ever-increasing complexity of modern software engineering and development. Existing DevBots are already able to relieve developers from routine tasks such as building project images or keeping dependencies up-to-date. However, advances in machine learning and artificial intelligence hold the promise of future, significantly more advanced, DevBots. In this paper, we introduce the terminology of contemporary and ideal DevBots. Contemporary DevBots represent the current state of practice, which we characterise using a facet-based taxonomy. We exemplify this taxonomy using 11 existing, industrial-strength bots. We further provide a vision and definition of future (ideal) DevBots, which are not only autonomous, but also adaptive, as well as technically and socially competent. These properties may allow ideal DevBots to act more akin to artificial team mates than simple development tools.
Subjects
Software Bot
Sotware Engineering
Taxonomy
TUHH
Weiterführende Links
  • Contact
  • Send Feedback
  • Cookie settings
  • Privacy policy
  • Impress
DSpace Software

Built with DSpace-CRIS software - Extension maintained and optimized by 4Science
Design by effective webwork GmbH

  • Deutsche NationalbibliothekDeutsche Nationalbibliothek
  • ORCiD Member OrganizationORCiD Member Organization
  • DataCiteDataCite
  • Re3DataRe3Data
  • OpenDOAROpenDOAR
  • OpenAireOpenAire
  • BASE Bielefeld Academic Search EngineBASE Bielefeld Academic Search Engine
Feedback