Header

UZH-Logo

Maintenance Infos

Project archetypes: A blessing and a curse for AI development


Dolata, Mateusz; Crowston, Kevin; Schwabe, Gerhard (2022). Project archetypes: A blessing and a curse for AI development. In: International Conference on Information Systems, ICIS 2022, Copenhagen, Denmark, 9 December 2022 - 14 December 2022, Association for Information Systems.

Abstract

Software projects rely on what we call project archetypes, i.e., pre-existing mental images of how projects work. They guide distribution of responsibilities, planning, or expectations. However, with the technological progress, project archetypes may become outdated, ineffective, or counterproductive by impeding more adequate approaches. Understanding archetypes of software development projects is core to leverage their potential. The development of applications using machine learning and artificial intelligence provides a context in which existing archetypes might outdate and need to be questioned, adapted, or replaced. We analyzed 36 interviews from 21 projects between IBM Watson and client companies and identified four project archetypes members initially used to understand the projects. We then derive a new project archetype, cognitive computing project, from the interviews. It can inform future development projects based on AI-development platforms. Project leaders should proactively manage project archetypes while researchers should investigate what guides initial understandings of software projects.

Abstract

Software projects rely on what we call project archetypes, i.e., pre-existing mental images of how projects work. They guide distribution of responsibilities, planning, or expectations. However, with the technological progress, project archetypes may become outdated, ineffective, or counterproductive by impeding more adequate approaches. Understanding archetypes of software development projects is core to leverage their potential. The development of applications using machine learning and artificial intelligence provides a context in which existing archetypes might outdate and need to be questioned, adapted, or replaced. We analyzed 36 interviews from 21 projects between IBM Watson and client companies and identified four project archetypes members initially used to understand the projects. We then derive a new project archetype, cognitive computing project, from the interviews. It can inform future development projects based on AI-development platforms. Project leaders should proactively manage project archetypes while researchers should investigate what guides initial understandings of software projects.

Statistics

Citations

Downloads

83 downloads since deposited on 25 Apr 2023
59 downloads since 12 months
Detailed statistics

Additional indexing

Item Type:Conference or Workshop Item (Paper), refereed, original work
Communities & Collections:03 Faculty of Economics > Department of Informatics
Dewey Decimal Classification:000 Computer science, knowledge & systems
Scope:Discipline-based scholarship (basic research)
Language:English
Event End Date:14 December 2022
Deposited On:25 Apr 2023 11:51
Last Modified:06 Mar 2024 14:38
Publisher:Association for Information Systems
OA Status:Green
Free access at:Official URL. An embargo period may apply.
Official URL:https://aisel.aisnet.org/icis2022/is_design/is_design/6
Other Identification Number:merlin-id:22925
  • Content: Published Version
  • Language: English