Analysis of Knowledge Retrieval Heuristics in Concurrent Software Development Teams

Autor:	Shingo Takahashi, Yusuke Goto, Shinsuke Sakuma
Rok vydání:	2010
Předmět:	Knowledge management Computer science business.industry Complete information Risk aversion Transactive memory Organizational learning Software development Knowledge retrieval business Heuristics Social simulation
Zdroj:	Simulating Interacting Agents and Social Phenomena ISBN: 9784431997801 WCSS
DOI:	10.1007/978-4-431-99781-8_11
Popis:	This paper examines effective knowledge-retrieval heuristics in terms of transactive memory in concurrent software development teams. We propose six knowledge-retrieval heuristics and evaluate their effectiveness in four typical situations encountered by concurrent software development teams. Agent-based social simulation suggests the following findings about effective heuristics in each situation: (1) in large teams, if team members have incomplete information about their teammates’ expertise, both the minimum effort type and the risk aversion type are effective; (2) in small teams, if team members have incomplete information about their teammates’ expertise, the broad retrieval type is effective; (3) in small teams with a heavy work-load, if team members have sufficient information about their teammates’ expertise, the minimum effort type is effective; (4) in small teams with a light work-load, if team members have sufficient information about their teammates’ expertise, both the minimum effort type and the “ask others” type are effective.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::015787b2cc5ca98cde3ae6f9a34e7dd9 https://doi.org/10.1007/978-4-431-99781-8_11 Zobrazit plný text záznamu